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Dewangan, B.K.; Rakesh, N.; et al., “Machine Learning-Based Empirical Model
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Maurya, S.; Asudani, D.S.; et al., “CNN-SVM Hybrid Approaches for Melanoma Detection
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Pandey, P.; et al., “IoT and AI-Enabled Smart Contact Lenses for Proactive Glaucoma
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Asudani, D.S.; et al., “Enhanced Network Experimentation with Machine
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Borkar, P.; Badhiye, S.; et al., “Air Quality Prediction Using Machine Learning: A
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Pandey, P.; et al., “AI-Enhanced IoT Systems for Smart Predictive Maintenance in
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Mohankumar, N.; et al., “Advanced Time Series Load Forecasting for Distributed
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Rakesh, N.; et al., “Revolutionizing Skin Cancer Detection: Leveraging Machine
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Mohankumar, N.; et al., “Dynamic Vehicle Stability Analysis Using IoT Sensors and
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Gulhane, M.; et al., “Developing Energy-Efficient IoT Architecture with Edge and Fog
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Maurya, S.; et al., “Exploring the Possibilities of Genetic Engineering for Curing
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Machine Learning”, 2025, International Conference on Signal Processing and
Communication (ICSC), Pages 5295–5341
DOI:
10.1109/ICSC64553.2025.10968946
Gulhane, M.; Rakesh, N.; Sharma, R.; Kumar, S.; et al., “Advancing Blockchain-Based
Systems to Enhance Security and Privacy in Healthcare Data Management Practices”,
2025, International Conference on Signal Processing and Communication (ICSC), Pages
2282–2341
DOI:
10.1109/ICSC64553.2025.10968535
Bahadure, N.B.; et al., “Machine Learning-Based Music Recommendation System from
Spotify”, 2025, Lecture Notes in Networks and Systems, Volume 1246 (LNNS), Pages
394–710
DOI:
10.1007/978-3-031-88992-9_4
Pandey, P.; et al., “Artificial Neural Networks for Enhancing Soccer Team
Performance Through Tactical Data Analysis”, 2025, ICMLAS Conference Proceedings,
Pages 642–647
DOI:
10.1109/ICMLAS64557.2025.10969039
Tidke, B.; et al., “CNN-based Neuroimaging Analysis for Mapping Neurotransmitter
Dysregulation in Anxiety Disorders”, 2025, ICICACS Conference Proceedings
DOI:
10.1109/ICICACS65178.2025.10968835
Pinjarkar, L.; et al., “Enhancing Radar-Based Human Activity Recognition: A
Multi-Stream Deep Learning Approach with Advanced Signal Processing and Data
Augmentation”, 2025, SoutheastCon Conference Proceedings, Pages 669–674
DOI: 10.1109/SoutheastCon56624.2025.10971527
Tidke, B.; et al., “AI-Enabled Muscle Oxygen Sensors for Personalized Exercise
Intensity Monitoring and Recovery Analysis”, 2025, ICAECT Conference Proceedings
DOI:
10.1109/ICAECT63952.2025.10958953
Mohankumar, N.; et al., “Sustainable Wildlife Corridor Monitoring and Conservation
Using IoT and Random Forest Algorithm”, 2025, ESIC Conference Proceedings, Pages
7287–7331
DOI:
10.1109/ESIC64052.2025.10962676
Pandey, P.; et al., “IoT-Enabled Asthma Trackers for Children with KNN for Improved
Breathing Control”, 2025, ICAECT Conference Proceedings
DOI:
10.1109/ICAECT63952.2025.10958974
Mohankumar, N.; et al., “Real-Time Energy Consumption Insights for Hospitals with
IoT and Machine Learning”, 2025, ESIC Conference Proceedings, Pages 7227–7271
DOI:
10.1109/ESIC64052.2025.10962621
Maurya, S.; Asudani, D.S.; et al., “CNN-SVM Hybrid Approaches for Melanoma Detection
in Dermatological Images”, 2025, IET Conference Proceedings, Pages 7140–5141
DOI:
10.1049/icp.2025.1599
Maurya, S.; Asudani, D.S.; et al., “Evaluating the Effectiveness of Regression
Algorithms in Predicting Cancer Progression”, 2025, IET Conference Proceedings,
Pages 7136–7137
DOI:
10.1049/icp.2025.1593
Maurya, S.; Diwan, P.; et al., “Energy-Efficient Distributed Systems for Large-Scale
Data Processing”, 2025, IET Conference Proceedings, Pages 7114–8115
DOI:
10.1049/icp.2025.1564
Tidke, B.; et al., “Smart Gloves for Hand Injury Prevention in Manufacturing Plants
Using IoT Sensors and One-Class SVM Integration”, 2025, ICSTSDG Conference
Proceedings
DOI:
10.1109/ICSTSDG61998.2024.11026730
Pandey, P.; et al., “IoT and AI-Enabled Smart Contact Lenses for Proactive Glaucoma
Management”, 2025, ICSTSDG Conference Proceedings
DOI:
10.1109/ICSTSDG61998.2024.11026236
Mohankumar, N.; et al., “IoT-Enhanced Deep Learning Model for Elderly Motor Function
Assessment in Rehabilitation Devices”, 2025, ICSTSDG Conference Proceedings
DOI:
10.1109/ICSTSDG61998.2024.11026068
Pinjarkar, L.; et al., “Face Recognition based Attendance System using KNN
Algorithm”, 2025, ICAISS Conference Proceedings, Pages 1571–1576
DOI:
10.1109/ICAISS61471.2025.11042050
Tidke, B.; et al., “Cloud-Hosted AI Solutions in Virtual Reality for Pain
Distraction and Management in Clinical Settings”, 2025, ICoACT Conference
Proceedings
DOI:
10.1109/ICoACT63339.2025.11005291
Maurya, S.; Shelke, N.; et al., “Cloud Computing in Healthcare Services”, 2025,
IC3ECSBHI Conference Proceedings, Pages 951–955
DOI:
10.1109/IC3ECSBHI63591.2025.10990397
Asudani, D.S.; et al., “Eavesdropper-Aware Optimization of Cooperative Relaying
Networks in the Presence of Heterogeneous Interference”, 2025, IC3ECSBHI Conference
Proceedings, Pages 1201–1215
DOI:
10.1109/IC3ECSBHI63591.2025.10990765
Asudani, D.S.; et al., “Enhanced Network Experimentation with Machine
Learning-Driven Analysis of Beaulieu-Xie Fading and κ-μ Co-Channel Interference
Effects”, 2025, IC3ECSBHI Conference Proceedings, Pages 485–310
DOI:
10.1109/IC3ECSBHI63591.2025.10990355
Borkar, P.; Badhiye, S.; et al., “Air Quality Prediction Using Machine Learning: A
Comprehensive Review”, 2025, IC3ECSBHI Conference Proceedings, Pages 1089–1093
DOI:
10.1109/IC3ECSBHI63591.2025.10991003
Maurya, S.; Shelke, N.; et al., “Multilingual Sentiment Analysis: A Comprehensive
Review for Indian Languages”, 2025, IC3ECSBHI Conference Proceedings, Pages 978–983
DOI:
10.1109/IC3ECSBHI63591.2025.10991146
Pandey, P.; et al., “Adaptive Solar Energy Storage with Deep Learning for Improved
Grid Resilience”, 2025, ICTMIM Conference Proceedings, Pages 1620–1625
DOI:
10.1109/ICTMIM65579.2025.10988013
Pandey, P.; et al., “AI-Enhanced IoT Systems for Smart Predictive Maintenance in
Steel Plants”, 2025, ICTMIM Conference Proceedings, Pages 954–959
DOI:
10.1109/ICTMIM65579.2025.10988000
Mohankumar, N.; et al., “Advanced Time Series Load Forecasting for Distributed
Energy Resources with IoT and Deep Learning”, 2025, ICTMIM Conference Proceedings,
Pages 1144–1149
DOI:
10.1109/ICTMIM65579.2025.10988097
Pandey, P.; et al., “Cloud-Enabled Robotic Therapy for Spinal Cord Injuries Patients
Using Neural Network Models”, 2025, ICOEI Conference Proceedings, Pages 772–777
DOI:
10.1109/ICOEI65986.2025.11013614
Rakesh, N.; et al., “Revolutionizing Skin Cancer Detection: Leveraging Machine
Learning and Deep Learning for Precise Lesion Identification”, 2025, ICICCS
Conference Proceedings, Pages 1431–1436
DOI:
10.1109/ICICCS65191.2025.10984780
Rakesh, N.; et al., “The Impact of Digital Platforms on Learner Lives and
Educational Success”, 2025, ICICCS Conference Proceedings, Pages 902–907
DOI:
10.1109/ICICCS65191.2025.10984511
Gulhane, M.; Rakesh, N.; et al., “Innovations in Robotics and Automation to Improve
Efficiency and Precision in Healthcare Delivery and Rehabilitation Systems”, 2025,
ESCI Conference Proceedings
DOI:
10.1109/ESCI63694.2025.10988031
Mohankumar, N.; et al., “Dynamic Vehicle Stability Analysis Using IoT Sensors and
Bayesian Network Approach”, 2025, ESCI Conference Proceedings
DOI:
10.1109/ESCI63694.2025.10988076
Gulhane, M.; et al., “Developing Energy-Efficient IoT Architecture with Edge and Fog
Computing for Smart Cities”, 2025, ESCI Conference Proceedings
DOI:
10.1109/ESCI63694.2025.10988125
Borkar, P.; et al., “Development of Neural Interface-Based Brain-Controlled Robotic
Prosthetics for Enhanced Mobility in Amputees”, 2025, ESCI Conference Proceedings
DOI:
10.1109/ESCI63694.2025.10988164
Borkar, P.; et al., “Advancing Personalized Medicine Using Genomic Data Analysis and
Predictive Modeling”, 2025, ESCI Conference Proceedings
DOI:
10.1109/ESCI63694.2025.10988289
Gulhane, M.; Rakesh, N.; et al., “Internet of Things Applications for Real-Time
Remote Patient Monitoring and Health Management Through Wearable Technologies”,
2025, ESCI Conference Proceedings
DOI:
10.1109/ESCI63694.2025.10987964
Sharma, R.; et al., “Comparative Study of Spatial Diversity Techniques in Log-Normal
Shadowing Channels”, 2025, DICCT Conference Proceedings, Pages 161–170
DOI:
10.1109/DICCT64131.2025.10986711
Maurya, S.; Shelke, N.; et al., “Development of an Advanced Multi-Disease Prediction
Framework Utilizing Machine Learning Techniques”, 2025, ICDT Conference Proceedings,
Pages 1595–1600
DOI:
10.1109/ICDT63985.2025.10986715
Maurya, S.; et al., “Exploring the Possibilities of Genetic Engineering for Curing
Human De-Formities: A Comprehensive Review”, 2025, ICDT Conference Proceedings,
Pages 508–514
DOI:
10.1109/ICDT63985.2025.10986300
Shelke, N.; et al., “Data Augmentation: Synthetic Image Generation for Medical
Images Using Vector Quantized Variational Autoencoders”, 2025, ICDT Conference
Proceedings, Pages 1502–1507
DOI:
10.1109/ICDT63985.2025.10986686
Maurya, S.; Shelke, N.; et al., “Optimizing NPC Behavior in Video Games Using Unity
ML-Agents: A Reinforcement Learning-Based Approach”, 2025, ICDT Conference
Proceedings, Pages 1601–1606
DOI:
10.1109/ICDT63985.2025.10986687
Kumar, S.; Agrawal, P.K.; Rakesh, N.; Gulhane, M.; et al., “Exploring Artificial
Intelligence Techniques for Enhanced Accuracy in Medical Imaging and Early Disease
Diagnosis”, 2025, ICSC Conference Proceedings, Pages 4024–4081
DOI:
10.1109/ICSC64553.2025.10968284
Kumar, S.; Rakesh, N.; Gulhane, M.; Agrawal, P.K.; et al., “A Comprehensive Machine
Learning Model for Kidney Stone Prediction”, 2025, ICSC Conference Proceedings,
Pages 1982–2021
DOI:
10.1109/ICSC64553.2025.10968209
Rakesh, N.; Sharma, R.; Gulhane, M.; et al., “Predicting Customer Churn Rate Using
Machine Learning”, 2025, ICSC Conference Proceedings, Pages 5295–5341
DOI:
10.1109/ICSC64553.2025.10968946
Gulhane, M.; Rakesh, N.; Sharma, R.; Kumar, S.; et al., “Advancing Blockchain-Based
Systems to Enhance Security and Privacy in Healthcare Data Management Practices”,
2025, ICSC Conference Proceedings, Pages 2282–2341
DOI:
10.1109/ICSC64553.2025.10968535
Bahadure, N.B.; et al., “Machine Learning-Based Music Recommendation System from
Spotify”, 2025, Lecture Notes in Networks and Systems, Volume 1246 (LNNS), Pages
394–710
DOI:
10.1007/978-3-031-88992-9_4
Pandey, P.; et al., “Artificial Neural Networks for Enhancing Soccer Team
Performance Through Tactical Data Analysis”, 2025, ICMLAS Conference Proceedings,
Pages 642–647
DOI:
10.1109/ICMLAS64557.2025.10969039
Tidke, B.; et al., “CNN-based Neuroimaging Analysis for Mapping Neurotransmitter
Dysregulation in Anxiety Disorders”, 2025, ICICACS Conference Proceedings
DOI:
10.1109/ICICACS65178.2025.10968835
Pinjarkar, L.; et al., “Enhancing Radar-Based Human Activity Recognition: A
Multi-Stream Deep Learning Approach with Advanced Signal Processing and Data
Augmentation”, 2025, IEEE SOUTHEASTCON Conference Proceedings, Pages 669–674
DOI: 10.1109/SoutheastCon56624.2025.10971527
Tidke, B.; et al., “AI-Enabled Muscle Oxygen Sensors for Personalized Exercise
Intensity Monitoring and Recovery Analysis”, 2025, ICAECT Conference Proceedings
DOI:
10.1109/ICAECT63952.2025.10958953
Mohankumar, N.; et al., “Sustainable Wildlife Corridor Monitoring and Conservation
Using IoT and Random Forest Algorithm”, 2025, ESIC Conference Proceedings, Pages
7287–7331
DOI:
10.1109/ESIC64052.2025.10962676
Pandey, P.; et al., “IoT-Enabled Asthma Trackers for Children with KNN for Improved
Breathing Control”, 2025, ICAECT Conference Proceedings
DOI:
10.1109/ICAECT63952.2025.10958974
Mohankumar, N.; et al., “Real-Time Energy Consumption Insights for Hospitals with
IoT and Machine Learning”, 2025, ESIC Conference Proceedings, Pages 7227–7271
DOI:
10.1109/ESIC64052.2025.10962621
Maurya, S.; Asudani, D.S.; et al., “CNN-SVM Hybrid Approaches for Melanoma Detection
in Dermatological Images”, 2025, IET Conference Proceedings, Pages 7140–5141
DOI:
10.1049/icp.2025.1599
Maurya, S.; Asudani, D.S.; et al., “Evaluating the Effectiveness of Regression
Algorithms in Predicting Cancer Progression”, 2025, IET Conference Proceedings,
Pages 7136–7137
DOI:
10.1049/icp.2025.1593
Maurya, S.; Diwan, P.; et al., “Energy-Efficient Distributed Systems for Large-Scale
Data Processing”, 2025, IET Conference Proceedings, Pages 1148–1155
DOI:
10.1049/icp.2025.1564
Tidke, B.; et al., “Smart Gloves for Hand Injury Prevention in Manufacturing Plants
Using IoT Sensors and One-Class SVM Integration”, 2025, ICSTSDG Conference
Proceedings
DOI:
10.1109/ICSTSDG61998.2024.11026730
Pandey, P.; et al., “IoT and AI-Enabled Smart Contact Lenses for Proactive Glaucoma
Management”, 2025, ICSTSDG Conference Proceedings
DOI:
10.1109/ICSTSDG61998.2024.11026236
Mohankumar, N.; et al., “IoT-Enhanced Deep Learning Model for Elderly Motor Function
Assessment in Rehabilitation Devices”, 2025, ICSTSDG Conference Proceedings
DOI:
10.1109/ICSTSDG61998.2024.11026068
Pinjarkar, L.; et al., “Face Recognition Based Attendance System Using KNN
Algorithm”, 2025, ICAISS Conference Proceedings, Pages 1571–1576
DOI:
10.1109/ICAISS61471.2025.11042050
Tidke, B.; et al., “Cloud-Hosted AI Solutions in Virtual Reality for Pain
Distraction and Management in Clinical Settings”, 2025, ICoACT Conference
Proceedings
DOI:
10.1109/ICoACT63339.2025.11005291
Maurya, S.; Shelke, N.; et al., “Cloud Computing in Healthcare Services”, 2025,
IC3ECSBHI Conference Proceedings, Pages 951–955
DOI:
10.1109/IC3ECSBHI63591.2025.10990397
Asudani, D.S.; et al., “Eavesdropper-Aware Optimization of Cooperative Relaying
Networks in the Presence of Heterogeneous Interference”, 2025, IC3ECSBHI Conference
Proceedings, Pages 1201–1215
DOI:
10.1109/IC3ECSBHI63591.2025.10990765
Asudani, D.S.; et al., “Enhanced Network Experimentation with Machine
Learning-Driven Analysis of Beaulieu-Xie Fading and κ-μ Co-Channel Interference
Effects”, 2025, IC3ECSBHI Conference Proceedings, Pages 485–310
DOI:
10.1109/IC3ECSBHI63591.2025.10990355
Borkar, P.; Badhiye, S.; et al., “Air Quality Prediction Using Machine Learning: A
Comprehensive Review”, 2025, IC3ECSBHI Conference Proceedings, Pages 1089–1093
DOI:
10.1109/IC3ECSBHI63591.2025.10991003
Maurya, S.; Shelke, N.; et al., “Multilingual Sentiment Analysis: A Comprehensive
Review for Indian Languages”, 2025, IC3ECSBHI Conference Proceedings, Pages 978–983
DOI:
10.1109/IC3ECSBHI63591.2025.10991146
Pandey, P.; et al., “Adaptive Solar Energy Storage with Deep Learning for Improved
Grid Resilience”, 2025, ICTMIM Conference Proceedings, Pages 1620–1625
DOI:
10.1109/ICTMIM65579.2025.10988013
Pandey, P.; et al., “AI-Enhanced IoT Systems for Smart Predictive Maintenance in
Steel Plants”, 2025, ICTMIM Conference Proceedings, Pages 954–959
DOI:
10.1109/ICTMIM65579.2025.10988000
Mohankumar, N.; et al., “Advanced Time Series Load Forecasting for Distributed
Energy Resources with IoT and Deep Learning”, 2025, ICTMIM Conference Proceedings,
Pages 1144–1149
DOI:
10.1109/ICTMIM65579.2025.10988097
Pandey, P.; et al., “Cloud-Enabled Robotic Therapy for Spinal Cord Injuries Patients
Using Neural Network Models”, 2025, ICOEI Conference Proceedings, Pages 772–777
DOI:
10.1109/ICOEI65986.2025.11013614
Rakesh, N.; et al., “Revolutionizing Skin Cancer Detection: Leveraging Machine
Learning and Deep Learning for Precise Lesion Identification”, 2025, ICICCS
Conference Proceedings, Pages 1431–1436
DOI:
10.1109/ICICCS65191.2025.10984780
Rakesh, N.; et al., “The Impact of Digital Platforms on Learner Lives and
Educational Success”, 2025, ICICCS Conference Proceedings, Pages 902–907
DOI:
10.1109/ICICCS65191.2025.10984511
Gulhane, M.; Rakesh, N.; et al., “Innovations in Robotics and Automation to Improve
Efficiency and Precision in Healthcare Delivery and Rehabilitation Systems”, 2025,
ESCI Conference Proceedings
DOI:
10.1109/ESCI63694.2025.10988031
Mohankumar, N.; et al., “Dynamic Vehicle Stability Analysis Using IoT Sensors and
Bayesian Network Approach”, 2025, ESCI Conference Proceedings
DOI:
10.1109/ESCI63694.2025.10988076
Gulhane, M.; et al., “Developing Energy-Efficient IoT Architecture with Edge and Fog
Computing for Smart Cities”, 2025, ESCI Conference Proceedings
DOI:
10.1109/ESCI63694.2025.10988125
Borkar, P.; et al., “Development of Neural Interface-Based Brain-Controlled Robotic
Prosthetics for Enhanced Mobility in Amputees”, 2025, ESCI Conference Proceedings
DOI:
10.1109/ESCI63694.2025.10988164
Borkar, P.; et al., “Advancing Personalized Medicine Using Genomic Data Analysis and
Predictive Modeling”, 2025, ESCI Conference Proceedings
DOI:
10.1109/ESCI63694.2025.10988289
Gulhane, M.; Rakesh, N.; et al., “Internet of Things Applications for Real-Time
Remote Patient Monitoring and Health Management Through Wearable Technologies”,
2025, ESCI Conference Proceedings
DOI:
10.1109/ESCI63694.2025.10987964
Sharma, R.; et al., “Comparative Study of Spatial Diversity Techniques in Log-Normal
Shadowing Channels”, 2025, DICCT Conference Proceedings, Pages 1610
DOI:
10.1109/DICCT64131.2025.10986711
Maurya, S.; Shelke, N.; et al., “Development of an Advanced Multi-Disease Prediction
Framework Utilizing Machine Learning Techniques”, 2025, ICDT Conference Proceedings,
Pages 1595–1600
DOI:
10.1109/ICDT63985.2025.10986715
Maurya, S.; et al., “Exploring the Possibilities of Genetic Engineering for Curing
Human De-Formities: A Comprehensive Review”, 2025, ICDT Conference Proceedings,
Pages 508–514
DOI:
10.1109/ICDT63985.2025.10986300
Shelke, N.; et al., “Data Augmentation: Synthetic Image Generation for Medical
Images Using Vector Quantized Variational Autoencoders”, 2025, ICDT Conference
Proceedings, Pages 1502–1507
DOI:
10.1109/ICDT63985.2025.10986686
Maurya, S.; Shelke, N.; et al., “Optimizing NPC Behavior in Video Games Using Unity
ML-Agents: A Reinforcement Learning-Based Approach”, 2025, ICDT Conference
Proceedings, Pages 1601–1606
DOI:
10.1109/ICDT63985.2025.10986687
Kumar, S.; Agrawal, P.K.; Rakesh, N.; Gulhane, M.; et al., “Exploring Artificial
Intelligence Techniques for Enhanced Accuracy in Medical Imaging and Early Disease
Diagnosis”, 2025, International Conference on Signal Processing and Communication
(ICSC), Pages 4024–4081
DOI:
10.1109/ICSC64553.2025.10968284
Kumar, S.; Rakesh, N.; Gulhane, M.; Agrawal, P.K.; et al., “A Comprehensive Machine
Learning Model for Kidney Stone Prediction”, 2025, International Conference on
Signal Processing and Communication (ICSC), Pages 1982–2021
DOI:
10.1109/ICSC64553.2025.10968209
Rakesh, N.; Sharma, R.; Gulhane, M.; et al., “Predicting Customer Churn Rate Using
Machine Learning”, 2025, International Conference on Signal Processing and
Communication (ICSC), Pages 5295–5341
DOI:
10.1109/ICSC64553.2025.10968946
Gulhane, M.; Rakesh, N.; Sharma, R.; Kumar, S.; et al., “Advancing Blockchain-Based
Systems to Enhance Security and Privacy in Healthcare Data Management Practices”,
2025, International Conference on Signal Processing and Communication (ICSC), Pages
2282–2341
DOI:
10.1109/ICSC64553.2025.10968535
Bahadure, N.B.; et al., “Machine Learning-Based Music Recommendation System from
Spotify”, 2025, Lecture Notes in Networks and Systems, Volume 1246 (LNNS), Pages
394–710
DOI:
10.1007/978-3-031-88992-9_4
Pandey, P.; et al., “Artificial Neural Networks for Enhancing Soccer Team
Performance Through Tactical Data Analysis”, 2025, ICMLAS Conference Proceedings,
Pages 642–647
DOI:
10.1109/ICMLAS64557.2025.10969039
Tidke, B.; et al., “CNN-based Neuroimaging Analysis for Mapping Neurotransmitter
Dysregulation in Anxiety Disorders”, 2025, ICICACS Conference Proceedings
DOI:
10.1109/ICICACS65178.2025.10968835
Pinjarkar, L.; et al., “Enhancing Radar-Based Human Activity Recognition: A
Multi-Stream Deep Learning Approach with Advanced Signal Processing and Data
Augmentation”, 2025, IEEE SoutheastCon Conference Proceedings, Pages 669–674
DOI: 10.1109/SoutheastCon56624.2025.10971527
Tidke, B.; et al., “AI-Enabled Muscle Oxygen Sensors for Personalized Exercise
Intensity Monitoring and Recovery Analysis”, 2025, ICAECT Conference Proceedings
DOI:
10.1109/ICAECT63952.2025.10958953
Mohankumar, N.; et al., “Sustainable Wildlife Corridor Monitoring and Conservation
Using IoT and Random Forest Algorithm”, 2025, ESIC Conference Proceedings, Pages
7287–7331
DOI:
10.1109/ESIC64052.2025.10962676
Pandey, P.; et al., “IoT-Enabled Asthma Trackers for Children with KNN for Improved
Breathing Control”, 2025, ICAECT Conference Proceedings
DOI:
10.1109/ICAECT63952.2025.10958974
Mohankumar, N.; et al., “Real-Time Energy Consumption Insights for Hospitals with
IoT and Machine Learning”, 2025, ESIC Conference Proceedings, Pages 7227–7271
DOI:
10.1109/ESIC64052.2025.10962621
Tidke, B.; et al., “IoT-Driven Predictive Analytics for Precision Harvest Timing
with LightGBM Models”, 2025, ICVADV Conference Proceedings, Pages 446–451
DOI:
10.1109/ICVADV63329.2025.10961665
Pandey, P.; et al., “Personalized Compression Therapy Plans using Cloud Computing
and ML Analytics”, 2025, ICVADV Conference Proceedings, Pages 156–161
DOI:
10.1109/ICVADV63329.2025.10961100
Mohankumar, N.; et al., “Telemedicine Platforms with Cloud-Based AI-Driven
Diagnostics in Hospitals”, 2025, ICVADV Conference Proceedings, Pages 137–143
DOI:
10.1109/ICVADV63329.2025.10961133
Mohankumar, N.; et al., “Early Detection of Road Traffic Injuries with IoT Sensor
Networks and K-Nearest Neighbors Algorithm”, 2025, ICVADV Conference Proceedings,
Pages 773–778
DOI:
10.1109/ICVADV63329.2025.10960893
Mohankumar, N.; et al., “Improving Mall Traffic Flow with IoT and Reinforcement
Learning Techniques in Footfall Analytics”, 2025, ICVADV Conference Proceedings,
Pages 339–344
DOI:
10.1109/ICVADV63329.2025.10961768
Mohankumar, N.; et al., “AI-Powered Real-Time Big Data Analytics for ICU Resource
Management”, 2025, ICVADV Conference Proceedings, Pages 141–147
DOI:
10.1109/ICVADV63329.2025.10961275
Mohankumar, N.; et al., “Advancing NICU Monitoring with IoT and Real-Time AI
Analytics”, 2025, ICVADV Conference Proceedings, Pages 758–801
DOI:
10.1109/ICVADV63329.2025.10961462
Mohankumar, N.; et al., “IoT-Enhanced Airborne Pathogen Surveillance in Healthcare
Environments using Deep Generative Networks”, 2025, ICVADV Conference Proceedings,
Pages 373–379
DOI:
10.1109/ICVADV63329.2025.10961373
Pandey, A.; Dubey, P.; et al., “Integrating Automation and Sustainability:
Arduino-Based Solar Panel Cleaning System for Renewable Energy Optimization”, 2025,
AUTOCOM Conference Proceedings, Pages 133–137
DOI:
10.1109/AUTOCOM64127.2025.10956276
Kaur, G.; et al., “Image Captioning – A Comprehensive Encoder-Decoder Approach on
Flickr8K”, 2025, AUTOCOM Conference Proceedings, Pages 1310–1315
DOI:
10.1109/AUTOCOM64127.2025.10956672
Kaur, G.; et al., “Dark Patterns Detection on E-Commerce Websites”, 2025, AUTOCOM
Conference Proceedings, Pages 1302–1309
DOI:
10.1109/AUTOCOM64127.2025.10957035
Pinjarkar, L.; et al., “Real-Time Language Translation Using IoT Technology”, 2025,
AUTOCOM Conference Proceedings, Pages 113–118
DOI:
10.1109/AUTOCOM64127.2025.10956962
Pinjarkar, L.; et al., “Movie Recommendation System Using Hybrid Based Method”,
2025, AUTOCOM Conference Proceedings, Pages 119–126
DOI:
10.1109/AUTOCOM64127.2025.10956922
Sharma, R.; et al., “Robust Signal Processing Approaches for Enhancing Communication
Reliability in Ultra-Dense Massive MIMO Networks Facing Fading Challenges”, 2025,
AUTOCOM Conference Proceedings, Pages 1595–1600
DOI:
10.1109/AUTOCOM64127.2025.10956467
Sharma, R., “An Integrated Approach to Network Security: Combining Cryptography and
Intrusion Detection”, 2025, ICPCT Conference Proceedings, Pages 223–228
DOI:
10.1109/ICPCT64145.2025.10939222
Gupta, A.; et al., “Secure Network Topology Design and Management Using Artificial
Intelligence Framework”, 2025, ICPCT Conference Proceedings, Pages 125–129
DOI:
10.1109/ICPCT64145.2025.10939212
Chauhan, P.; et al., “Cooperative Wireless Network Clustering and Routing Using Ant
Colony Optimization”, 2025, ICPCT Conference Proceedings, Pages 274–278
DOI:
10.1109/ICPCT64145.2025.10940601
Agrawal, P.K.; et al., “Intelligent Network Selection in Heterogeneous Wireless
Environments Using Machine Learning”, 2025, ICPCT Conference Proceedings, Pages
217–222
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Sharma, R.; Rakesh, N.; et al., “A Triage System Based Approach With AI-Driven
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Sharma, R.; et al., “An Evaluation of Cross-Layer Optimization Scheme for Wireless
Mesh Networks”, 2025, ICPCT Conference Proceedings, Pages 351–358
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Networks”, 2025, ICPCT Conference Proceedings, Pages 260–263
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Sharma, R.; et al., “Quantifying Performance Trade-offs in Network Virtualization
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Agrawal, P.K.; et al., “Network Security Threats and Mitigation Strategies in Mobile
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Gulhane, M.; et al., “Enhancing Network Resilience with Dynamic Traffic Engineering
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Gupta, A.; et al., “Wireless Network Coverage Optimization Through Dynamic Topology
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Gulhane, M.; et al., “Efficient Network Anomaly Detection and Mitigation Strategies
for Large-Scale Networks”, 2025, ICPCT Conference Proceedings, Pages 279–283
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Gulhane, M.; et al., “Optimization of Wireless Network Performance Through
Intelligent Resource Allocation: A Game Theory Approach”, 2025, ICPCT Conference
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Gupta, A.; et al., “Optimizing Radio Resource Management in Multi-RAT Wireless
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Agrawal, P.K.; et al., “3-Pole Waveguide Band Pass Filter Used for Microwave P2P in
5G Application”, 2025, SCEECS Conference Proceedings, Pages 10–10
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Mohankumar, N.; et al., “Transforming Hospital Visitor Screening with Cloud-Powered
Deep Learning for Safety and Security”, 2025, SCEECS Conference Proceedings, Pages
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Sharma, R.; et al., “Machine Learning-Driven QoS Prediction in 6G Networks Under
α-η-μ Fading with Selection Combining and Co-Channel Interference Mitigation”, 2025,
CE2CT Conference Proceedings, Pages 283–210
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Gupta, G.K.; et al., “Recommender Systems in E-Commerce: A Deep Dive into AI-Driven
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Gupta, G.K.; et al., “Ensuring Data Integrity in Multi-Tenant Cloud Environments
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Gupta, G.K.; et al., “Scalable Performance Testing for Distributed Big Data
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Gupta, G.K.; et al., “AI-Driven Test Automation for Big Data Systems in Cloud
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Sharma, R.; et al., “Enhanced Handover Management in 5G Networks using Machine
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Rakesh, N.; Gulhane, M.; et al., “SUBIINA: Stress and Unhappiness Behavioural
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Sharma, R.; et al., “Performance Enhancement and Secrecy Analysis of Hybrid RF/FSO
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Gulhane, M.; Rakesh, N.; Agrawal, P.K.; et al., “Prediction of Student Dropout
Analysis for Education Using Machine Learning”, 2025, CICTN Conference Proceedings,
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Rakesh, N.; Gulhane, M.; Agrawal, P.K.; et al., “Evaluating Generative Models: A
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Bansal, N.; Ismail, F.S.M.; Malik, S.; et al., “Low Light Image Enhancement: A
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Bansal, N.; et al., “Broad Study on Automated Firefighting Vehicle Powered by
Arduino”, 2025, Smart Innovation, Systems and Technologies, Volume 42, Pages 89–101
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Mangrulkar, N.; Badhiye, S.; et al., “Decentralizing Rides: A Blockchain Approach to
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Mohankumar, N.; et al., “IoT-Enabled Reinforcement Learning for Autonomous Robotic
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Rakesh, N.; Mohankumar, N.; et al., “VGG16-Based Deep Learning Approach for Accurate
Detection of Fruit Diseases in Precision Agriculture”, 2025, IDCIOT Conference
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Tidke, B.; et al., “AI-Enhanced Public Safety Lighting for Smart Sustainable Cities
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Pandey, P.; et al., “Cloud-Supported Bayesian Networks for Predicting Plant Stress
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Badhiye, S.; Borkar, P.; et al., “An Approach to Review the Constraints of ChatGPT”,
2024, AIP Conference Proceedings, Volume 3214
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Mandavgade, N.K.; et al., “Performance Assessment of Solar Dryer to Remove Moisture
from Beans”, 2024, AIP Conference Proceedings, Volume 3214
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Mandavgade, N.K.; et al., “Design and Application of Value Stream Mapping in a
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Maity, H.; Gupta, G.K.; et al., “Design and Implementations of New Reversible 7’s
and 8’s Complement Code Converter for Quantum Computations”, 2024, AIP Conference
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Agrawal, P.; Gupta, G.K.; Kaur, G.; et al., “Securing the Internet of Things:
Safeguarding Connectivity in the Cyber Age”, 2024, AIP Conference Proceedings,
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Agrawal, P.; Gupta, G.K.; Kaur, G.; et al., “Unveiling Cybersecurity Frontiers: A
Comprehensive Study of Ethical Hacking for Information Security”, 2024, AIP
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Pinjarkar, L.; Agrawal, P.; Gupta, G.K.; Kaur, G.; et al., “Blockchain Security in
Cryptocurrency: Challenges, Solutions, and Future Prospects”, 2024, AIP Conference
Proceedings, Volume 3242
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Maurya, S.; et al., “Dynamic Load Balancing in Telemedicine Using Genetic Algorithms
and Fog Computing”, 2024, AIP Conference Proceedings, Volume 3121
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Maurya, S.; et al., “Optimizing Urban Resource Management Through Cloud and Fog
Computing in Smart Cities”, 2024, AIP Conference Proceedings, Volume 3121
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Maurya, S.; et al., “Leveraging AI, IoT, Fog, and Cloud Computing for Sustainable
Healthcare Transformation”, 2024, AIP Conference Proceedings, Volume 3121
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Dasarwar, P.; et al., “Impact of Deep Learning Techniques on Deep Fake Image
Identification for Digital Investigation”, 2024, MoSICom Conference Proceedings,
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Mohankumar, N.; et al., “Cloud-Integrated Deep Learning for Predictive Emergency
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Singh, S.; Rakesh, N.; Gulhane, M.; et al., “Emotion-Based Media Recommendation
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Gulhane, M.; Maurya, S.; Rakesh, N.; et al., “Innovative Healthcare Solutions: A
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Continuous Patient-Doctor Connectivity”, 2024, Pages 356–360
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Gulhane, M.; Maurya, S.; Rakesh, N.; et al., “Architectural Innovations for AI
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Borkar, P.; Badhiye, S.; et al., “Doc Query: Intelligent Document Analysis and
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Pinjarkar, L.; Agrawal, P.; Kaur, G.; et al., “Mining CFD Algorithm on Medium
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Pinjarkar, L.; Agrawal, P.; Kaur, G.; et al., “An Approach to the Finance Affair
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Kaur, G.; Agrawal, P.; Pinjarkar, L.; et al., “Predictive Modeling of Heart Disease:
A Machine Learning Approach”, 2024, Pages 266–271
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Maity, H.; et al., “Study the Improved Efficiency of Lead-Free CsSnI₃ Perovskite
Solar Cells with Variation of Absorber Layer in SCAPS-1D”, 2024, EDKCON Conference
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Bansal, N.; et al., “Online Payment Fraud Transaction Detection using Machine
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Malik, S.; Bansal, N.; et al., “Climate Change Analysis Using Machine Learning”,
2024, DELCON Conference Proceedings
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Mohankumar, N.; et al., “AI-Enhanced Hospital Language Interpretation Services using
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Pandey, P.; et al., “Smart Aging Technology with IoT and Deep Learning Analytics for
Elderly Activity Patterns and Health Outcomes”, 2024, ICCES Conference Proceedings,
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Rakesh, N.; et al., “Detection of DoS and DDoS Attacks Using Machine Learning and
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Gulhane, M.; Rakesh, N.; Maurya, S.; et al., “Leveraging Machine Learning Techniques
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Gulhane, M.; Rakesh, N.; Agrawal, P.K.; et al., “AI Approach for Oncology Using
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Chauhan, P.; et al., “Precision Agriculture: A Machine Learning Approach to Crop
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Gulhane, M.; et al., “Enhancing Liver Cancer Diagnosis Through Advanced Image
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Sharma, R.; et al., “Performance Analysis of Cooperative Relay Networks Under
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Chauhan, P.; et al., “Analysing the Impact of AI Integration on India's E-Commerce
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Dubey, P.; et al., “Optimizing Water Usage in Agriculture with Automated Drip
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Dasarwar, P.; Wankhade, S.; et al., “Earthquake Prediction Through Machine Learning
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Badhiye, S.; Borkar, P.; et al., “IoT-Integrated Door Sensor Solution for Enhancing
Smart Home Security”, 2024, ICTACS Conference Proceedings, Pages 913–917
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Mohankumar, N.; et al., “Technological Solutions for Mitigating Air Pollution from
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Chauhan, P.; et al., “Analysing & Exploring the Transforming Diverse Landscape of
Artificial Intelligence in M-Commerce in India: A Study of Its Sub-Divides, Privacy
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Rakesh, N.; et al., “Impact of E-Waste on Pregnant Lady, Newborn Baby, and Fetus”,
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Gulhane, M.; Rakesh, N.; Agrawal, P.K.; et al., “Enhanced Diabetes Prediction
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Agrawal, P.; Rakesh, N.; et al., “Navigating the Future: Innovations in Lane Line
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Agrawal, P.; Badhiye, S.; Rakesh, N.; et al., “Comparative Analysis of Consumer
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Gulhane, M.; Rakesh, N.; et al., “Comparative Analysis of Machine Learning Models
for Medical Drug Classification”, 2024, ICTACS Conference Proceedings, Pages 869–874
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Agrawal, P.; et al., “Supervise Machine Learning Interface to Predict Physical
Properties of Binary Solutions”, 2024, ICTACS Conference Proceedings, Pages 897–902
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Dubey, P.; et al., “Harvesting Insights: Transforming Wheat Crop Health Through CNNs
and Transfer Learning”, 2024, ICTACS Conference Proceedings, Pages 779–785
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Agrawal, P.; Kaur, G.; Pinjarkar, L.; Rakesh, N.; et al., “Improving Emergency
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Maurya, S.; Shelke, N.; et al., “Strengthening Cloud Security: Exploration of
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Mohankumar, N.; et al., “Efficient Waste Services in High-rise Buildings Leveraging
LSTM Time Series Forecasting and IoT Automation”, 2024, ASIANCON Conference
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Sharma, R.; et al., “Cross-Layer Design for Enhanced QoS in Video Streaming Over
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Sharma, R.; et al., “Integration of Q-Learning with Maximal Ratio Combining to
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Sharma, R.; et al., “Adaptive Strategies for Maximizing Spectral Efficiency in Dual
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Dubey, P.; et al., “NLP in Business Analytics: Generating Insights from Textual Data
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Dubey, P.; et al., “Deep Learning Approaches for Brain Tumour Detection Using VGG-16
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Shelke, N.; et al., “The Role of Blockchain Technology in Supply Chain Management
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Rakesh, N.; et al., “Particle Swarm Optimization versus Simulated Annealing for 5G
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Bansal, N.; Malik, S.; et al., “Evaluating the Effectiveness of Deep Convolutional
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Singh, S.; et al., “Information Rate for Molecular Communication Over Super
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Sharma, R.; et al., “Integrated Modeling of Wireless System Performance under
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Singh, S.; Gulhane, M.; Rakesh, N.; et al., “Analytical Model for Performance
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Singh, S.; Gulhane, M.; Rakesh, N.; et al., “Performance Analysis of Nano Network
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Gupta, G.K.; et al., “Developing a Secure, Trust-Based, and Energy-Efficient Hybrid
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Maurya, S.; Asudani, D.S.; et al., “Pancreatic Cancer Diagnosis from CT Scan Images
Using Machine Learning Methods”, 2024, IC3I Conference Proceedings, Pages 1589–1595
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Gupta, G.K.; et al., “A Novel Hybrid Framework for Energy-Efficient Clustering and
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Gupta, G.K.; et al., “Big Data in Healthcare: Leveraging Analytics to Revolutionize
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Maurya, S.; Asudani, D.S.; et al., “Melanoma Skin Cancer Detection Using Deep
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Gupta, G.K.; et al., “Hybrid Machine Learning Models: Combining Strengths of
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Bahadure, N.B.; et al., “Real Estate Price Prediction Model Analysis Using Machine
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Shelke, N.; et al., “An Efficient Video Authentication Method Based on Least
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Rakesh, N.; Mohankumar, N.; et al., “IoT-Weather Integration for Enhanced Cricket
Tactics with Gradient Boosting Algorithm”, 2024, CSITSS Conference Proceedings
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Mohankumar, N.; Rakesh, N.; et al., “Enhancing Postal Convenience and Security:
IoT-Enabled Smart Postboxes and Delivery Lockers Using Cloud Computing”, 2024,
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Mohankumar, N.; et al., “Recurrent Neural Network-Based Dynamic Cooling Adjustment
for Energy-Efficient Air Conditioning with IoT Sensors”, 2024, ICICEC Conference
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Mohankumar, N.; et al., “IoT Based Real-Time Moisture Management in Fabric Drying
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Mohankumar, N.; et al., “Optimizing Minimum Spanning Tree Algorithm for Efficient
Graph Processing in Big Data”, 2024, ICICEC Conference Proceedings
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Pandey, P.; et al., “Integrated IoT and Random Forest Algorithm Solutions for
Agricultural Waste Management and Biomass Valorization”, 2024, ICICEC Conference
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Pandey, P.; Gulhane, M.; Mohankumar, N.; Rakesh, N.; et al., “Future of Drug Design
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Mohankumar, N.; et al., “Real-time Agrochemical Management Solutions using Cloud
Computing and K-Nearest Neighbors Algorithm”, 2024, ICECA Conference Proceedings,
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Gulhane, M.; Mohankumar, N.; Rakesh, N.; et al., “Optimizing Chronic Kidney Disease
Diagnosis with Machine Learning: A Comprehensive Approach to Feature Selection and
Classification Models”, 2024, CYBERCOM Conference Proceedings, Pages 828–710
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Dubey, P.; Sharma, R.; et al., “AI-Powered Dermatology: Revolutionizing Skin Cancer
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Badhiye, S.; Borkar, P.; et al., “Credit Risk Analysis using Machine Learning”,
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Agrawal, P.; Kaur, G.; Pinjarkar, L.; et al., “Unmanned Aerial Vehicles (UAVs):
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Kaur, G.; Pinjarkar, L.; Agrawal, P.; et al., “Unveiling the Power of AI Prompt
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Mohankumar, N.; et al., “IoT and Cloud-Based Solutions for Energy-Efficient Restroom
Lighting Systems”, 2024, ICSES Conference Proceedings, Pages 273–278
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Pandey, P.; et al., “Smart Composting Solutions for Organic Waste Management and
Soil Enrichment in Agriculture with IoT and Gradient Boosting”, 2024, ICSES
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Mohankumar, N.; et al., “Cloud-Connected Wearable Devices for Lone Worker Protection
with Wireless Sensor Networks”, 2024, ICSES Conference Proceedings, Pages 351–356
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Bahadure, N.B.; Patni, J.C.; Khomane, R.; et al., “Enhancing Decision-Making and
Operational Efficiency Through Demand Prediction Using Machine Learning”, 2024,
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Bahadure, N.B.; Pandey, P.; Patni, J.C.; et al., “Comparative Analysis of Workforce
Adaptation and Job Evolution in the Age of Automation Using Machine Learning”, 2024,
ETNCC Conference Proceedings, Pages 63–69
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Maity, H.; et al., “A Brief Review of TOPCon Solar Cell and Its Future
Perspectives”, 2024, IICCCS Conference Proceedings
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Mohankumar, N.; et al., “Support Vector Machine for Reliable Voltage Fluctuation
Detection and Compensation in Industrial IoT Networks”, 2024, ICSSAS Conference
Proceedings, Pages 150–155
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Agrawal, P.; Rakesh, N.; Kaur, G.; Pinjarkar, L.; et al., “Maximizing Urban Space: A
Survey of Smart Parking Techniques and Innovations”, 2024, TIACOMP Conference
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Agrawal, P.; Rakesh, N.; Kaur, G.; et al., “Speech-to-Text Conversion and Text
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Maurya, S.; et al., “A Framework for Advanced Technology in Energy-Efficient Dew
Computing for Smart Healthcare”, 2024, ICSD Conference Proceedings
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Maurya, S.; et al., “Revolutionizing Education Through Holistic Application of
Technology: A Blockchain-Powered Framework for Smart Learning”, 2024, ICSD
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Bahadure, N.B.; Patni, J.C.; et al., “A Critical Analysis of Object Tracking Using
Radial Function Networks”, 2024, ICSD Conference Proceedings
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Maurya, S.; et al., “Justifiable Agriculture Productivity with Nimble,
Cost-Effective, and Optimized Resource Framework – A MIST Computing Approach for
Smart Agriculture”, 2024, ICSD Conference Proceedings
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Maurya, S.; et al., “Revolutionizing Urban Horticulture and Agriculture with
Networked Intelligence: A Blockchain-Based Framework for Smart Farming and Crop
Management”, 2024, ICSD Conference Proceedings
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Bahadure, N.B.; Patni, J.C.; et al., “The Impact of Digital Workforce and Robotics
in Ubiquitous Technology”, 2024, ICSD Conference Proceedings
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Bahadure, N.B.; et al., “The Role of Machine Learning in Equipping Students with
Emerging Opportunities”, 2024, ICSD Conference Proceedings
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Bahadure, N.B.; et al., “World Coin Currency Detection: A Comparative Study of
Machine Learning and Deep Learning”, 2024, ICSD Conference Proceedings
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Dubey, P.; et al., “Enhancing Cardiovascular Health Through AI-Driven Heart Disease
Detection”, 2024, ICEECT Conference Proceedings
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Maurya, S.; et al., “Interpreting Deep Convolutional Neural Networks for Medical
Diagnosis Using Perceptual Encoding and Retrieval”, 2024, ICCCNT Conference
Proceedings
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Maurya, S.; et al., “Advancing Dermatology: Deep Convolutional Neural Networks for
Timely Hair Disease Diagnosis”, 2024, AIC Conference Proceedings, Pages 761–765
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Maurya, S.; Thomas Varghese, S.; et al., “Enhanced License Plate Detection Using
YOLOv8n: An Approach for Efficient Vehicle Identification”, 2024, AIC Conference
Proceedings, Pages 923–927
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Maurya, S.; Pandey, P.; et al., “Hand Gesture Recognition Using Improved
Convolutional Neural Networks for Specially Abled”, 2024, AIC Conference
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Maurya, S.; Thomas Varghese, S.; et al., “YOLO: Redefining Real-Time Object
Detection Accuracy and Efficiency”, 2024, AIC Conference Proceedings, Pages
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Pinjarkar, L.; Agrawal, P.; Kaur, G.; et al., “An Examination of Prevalent Online
Scams: Phishing Attacks, Banking Frauds, and E-Commerce Deceptions”, 2024, ICAIT
Conference Proceedings
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Mohankumar, N.; et al., “Cloud-Powered Virtual Doctor Robots for Enhancing Elderly
Care and Chronic Disease Management with Recurrent Neural Networks”, 2024, ICEEICT
Conference Proceedings
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Mohankumar, N.; et al., “IoT's Role in Personalized Dietary Support for Mental
Health Using RNN Model”, 2024, ICEEICT Conference Proceedings
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10.1109/ICEEICT61591.2024.10718428
Mohankumar, N.; et al., “Reinforcement Learning for Patient-Centric Lighting
Management System in Healthcare Sector”, 2024, I-SMAC Conference Proceedings, Pages
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Pandey, P.; et al., “Hybrid Optimization Approach for Energy Savings in Cooling
Tower Using IoT and Gradient Boosting”, 2024, I-SMAC Conference Proceedings, Pages
150–155
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Mohankumar, N.; et al., “Cloud-Enabled Security for Luggage Protection Through LSTM
Networks and IoT in Contactless Travel”, 2024, I-SMAC Conference Proceedings, Pages
163–168
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Mohankumar, N.; et al., “Optimal Vaccine Distribution Using Cloud-Based
Reinforcement Learning for Logistics Management”, 2024, I-SMAC Conference
Proceedings, Pages 1018–1023
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Maurya, S.; Malik, S.; Bansal, N.; et al., “Personalized Assistance Through
Artificial Intelligence: Smart Voice Appliances”, 2024, Lecture Notes in Networks
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Mohankumar, N.; et al., “Real-Time Incident Detection and Response with Isolation
Forest Algorithm and Cloud Infrastructure”, 2024, Pages 1024–1029
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Shelke, N.; Patni, J.C.; et al., “Analysis of Object Identification and
Classification Using YOLO and RCNN”, 2024, Lecture Notes in Networks and Systems,
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Shelke, N.; Patni, J.C.; et al., “Comparative Study on Different Approaches Used in
Word Sense Disambiguation—NLP”, 2024, Lecture Notes in Electrical Engineering, Vol.
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Maurya, S.; et al., “Quantum Cryptography for Secure Communications in Industrial
Mechatronics and Embedded Systems”, 2024
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Pandey, P.; et al., “Dynamic Patient Triage Optimization in Healthcare Settings
Using RNNs for Decision Support”, 2024, Pages 370–375
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Mohankumar, N.; et al., “Green Leaf Disease Detection Using Raspberry Pi and Random
Forest Machine Learning Algorithm: An Automated Approach for Precision Agriculture”,
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Wankhade, S.; Dasarwar, P.; et al., “Real-Time Traffic Intensity Estimation and
Management using Deep Learning Techniques”, 2024
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Mohankumar, N.; et al., “Enhanced Public Safety and Well-Being through IoT-Enabled
Light Pollution Mitigation with Reinforcement Learning”, 2024, Pages 406–411
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Gulhane, M.; Rakesh, N.; et al., “Gut Microbiome based Cardiovascular Prediction
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Gulhane, M.; Rakesh, N.; et al., “Performance Study of Machine Learning Models for
Kidney Stone Diagnosing”, 2024
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Rakesh, N.; Gulhane, M.; et al., “Computational Efficient ER of Wireless Nano Sensor
Network under Interference”, 2024
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Patni, J.C.; Bahadure, N.B.; et al., “Student's Performance Prediction Using Machine
Learning Algorithms- A Comparative Study”, 2024
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Balla, R.; Maurya, S.; Rakesh, N.; et al., “Secure Authentication and Authorization
of IoT Devices in Smart Home Networks”, 2024, Pages 480–485
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Kose, A.B.; Nikam, N.V.; Jaju, S.B.; Khond, V.W., “A Review on Methods of Water
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Agrawal, P.; Rakesh, N.; et al., “Comparative Analysis of Deepfake Detection Methods
Using Machine Learning and Deep Learning”, 2024, Pages 1577–1583
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Mohankumar, N.; et al., “Cloud-Integrated Wireless Sensor Networks for Dynamic
Household Air Pollution Management”, 2024
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Mohankumar, N.; et al., “Predictive Analytics for Hospital Readmissions Using
Logistic Regression and IoT Sensor Data”, 2024
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Mohankumar, N.; et al., “Smart Water Taps Using IoT Sensors and Deep Reinforcement
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Mohankumar, N.; et al., “Cloud Based Intelligent Nutrient Management System for
Precision Agriculture Using CNN”, 2024, Pages 971–976
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Balla, R.; Maurya, S.; Rakesh, N.; et al., “Alpha Node: Smart Data Retrieval System
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Agrawal, P.; Kaur, G.; Gupta, G.K.; Pinjarkar, L.; et al., “Navigating the Mind:
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Agrawal, P.; Kaur, G.; Gupta, G.K.; Pinjarkar, L.; et al., “A Comprehensive Study of
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Jaiswal, A.S.; Bhavsagar, D.V.; Dhole, K.; Chaurasia, S.; Daph, M.; Chourasia, S.,
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Patni, J.C.; et al., “Video Noise Analysis Using Frequency Domain Algorithm”, 2024,
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Rakesh, N.; et al., “Fake News Detection: A Comprehensive Methodology Utilizing
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Gulhane, M.; et al., “Facial Recognition Unlocking Potential Facing Challenges in
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Mohankumar, N.; et al., “Next-Gen Telehealth Ecosystems Using IoT for Virtual
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Mohankumar, N.; et al., “Aquatic Conservation Monitoring for River and Lake
Ecosystems with IoT and Cloud Computing”, 2024, Pages 487–491
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Mohankumar, N.; et al., “Real-Time Hydraulic Fluid Leak Detection in Heavy Machinery
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Maurya, S.; Gulhane, M.; Pinjarkar, L.; et al., “IoT-Based Smart Water Management
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Maurya, S.; Rakesh, N.; et al., “Effect of AI on the Financial Sector: Risk Control,
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Maurya, S.; Rakesh, N.; et al., “Green Cloud Computing for the Metaverse: Powering
the Future of the Internet with Renewable Energy”, 2024
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Patni, J.C.; Shelke, N.; et al., “A Review of Cloud Computing Innovations for
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Patni, J.C.; Shelke, N.; et al., “Artificial Intelligence on Visually Impaired
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Maity, H.; et al., “Exploring Pre-Processing Strategies and Feature Extraction in
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Bahadure, N.B.; Khomane, R.; et al., “Regression Model Selection for Life Expectancy
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Rakesh, N.; et al., “An Evaluation and Comparison for Phishing Attack Detection
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Patni, J.C.; et al., “Adaptive Gamma Correction with Unsharp Masking and Gaussian
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Shelke, N.; Patni, J.C.; et al., “A Comparative Study of Various Load Balancing
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Shelke, N.; et al., “Transforming Breast Cancer Image Classification With Vision
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Pinjakar, L.; et al., “An Intelligent Forecasting Classification Model for Traffic
Analysis Using Machine Learning Techniques”, 2024
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Maurya, S.; Borkar, P.; et al., “Exploring the Power of Vision Transformer (ViT) and
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Bahadure, N.B.; et al., “DRL-iCloud: Deep Reinforcement Learning Based Real-Time
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Pinjarkar, L.; et al., “Identification of Potential Risks in Websites by Using
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Badhiye, S.; et al., “Smart IoT-Based System for Real-Time Monitoring and Management
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Dasarwar, P.; et al., “Design of an Improved Model Using Hybrid GA-CNN and DQN for
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Dubey, P.; et al., “Exploring the Landscape of ChatGPT Research: A Bibliometric
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Maurya, S.; Badhiye, S.; et al., “Analysis of Usability Aspect for an Image-Based
Authentication System”, 2024, Pages 542–547
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Maurya, S.; Badhiye, S.; et al., “Comparative Analysis of Machine Learning
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Mohankumar, N.; et al., “Detecting and Predicting Agitation Episodes in Dementia
Patients Using IoT and Artificial Neural Networks”, 2024, Pages 464–469
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Maurya, S.; Asudani, D.S.; et al., “Face Recognition and Detection Using Machine
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Rakesh, N.; Gulhane, M.; Agrawal, P.K.; et al., “Integration of Computer Vision for
Book Detection and Text-to-Speech Conversion Using API for Blind People”, 2024,
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Rakesh, N.; Dasarwar, P.; et al., “Domain Specific Text Summarization for Hindi
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Rakesh, N.; Gulhane, M.; Agrawal, P.K.; et al., “The Impact of Digitalization on
Psychological Treatment: Exploring Emerging Technologies in Mental Health Care”,
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Mohankumar, N.; et al., “Cloud-Enabled K-Means Clustering for Advancing Wildlife
Disease Surveillance and Outbreak Prediction”, 2024
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Mohankumar, N.; et al., “Optimizing Sewage Systems for Real-Time Flow Analysis and
Predictive Maintenance with IoT and LSTM”, 2024
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Mohankumar, N.; Rakesh, N.; et al., “Cloud-Enabled Decision Tree Algorithm for
Intelligent Tire Pressure Monitoring and Vehicle Safety Enhancement”, 2024
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Mohankumar, N.; et al., “Smart Fire Barrier Solutions Using IoT and Long Short-Term
Memory Networks for Dynamic Fire Containment”, 2024
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Raghuwanshi, M.M.; Shobhane, P.D.; et al., “Link Prediction in Social Networks: A
Dual Perspective on Positive and Negative Links”, 2024
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Mohankumar, N.; et al., “Neural Networks for Effective Member Density Monitoring in
IoT-Enabled Smart Fitness Centers”, 2024
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10.1109/ACOIT62457.2024.10939310
Rakesh, N.; et al., “An Intelligent Model for Prediction of Heart Failure with
Enhanced Self-Supervised Learning Algorithm”, 2024
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Agrawal, P.; Gupta, G.K.; et al., “Advancing AI: Deep Learning Techniques for
Handwritten Digit Recognition”, 2024
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Bansal, N.; et al., “Actual Rate Prediction: Extension in Real Estate Prediction
using Machine Learning”, 2024, Pages 443–448
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Sharma, R.; et al., “Utilization of Non-Orthogonal Multiple Access (NOMA) for
Spectral Efficiency in Mixed Fading Environments”, 2024, Pages 514–519
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Dhankar, P.K.; et al., “Quantum-Enhanced AI Robotics for Sustainable Agriculture:
Pioneering Autonomous Systems in Precision Farming”, 2024
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Agrawal, P.K.; Badhiye, S.; Borkar, P.; et al., “Implementation of Generative AI in
Resource Management of Cloud Computing”, 2024
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Dhankar, P.K.; et al., “Machine Learning-Driven Medical Imaging for Cardiovascular
Disease: Enhancing Diagnostic Precision and Personalized Treatment Strategies”, 2024
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Dhankar, P.K.; Rakesh, N.; et al., “Advancing Oncology Outcomes: Deploying Advanced
Machine Learning Models for Early Detection and Optimized Treatment”, 2024
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Dubey, P.; et al., “Real-Time Detection of Driver Distraction Using Hybrid Model
VGG16 and Random Forest: A Deep Learning Approach”, 2024
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Urkude, G.; Avthankar, A.M.; et al., “IoT-Enabled Intelligent Traffic Control System
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Gupta, G.K.; et al., “Two Approaches for Assessing the Operating Characteristic of
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Dubey, P.; Agrawal, P.K.; et al., “Bibliometric Analysis of Data Science Research: A
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Maurya, S.; Gulhane, M.; et al., “Optical Character Recognition based Analysis of
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Maurya, S.; et al., “Deep Learning and Image Processing for Efficient Herb
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