Jay Kumar Pandey

Jay Kumar PandeyJay Kumar Pandey is currently working as an Assistant Professor in the Department of Electronics and Communication Engineering at Shri Ramswaroop Memorial University, Barabanki (U.P.) India. Dr. Pandey has completed his Ph.D. in renewable energy and has done his M.Tech with a specialization in Power Control (Instrumentation) and also done his MBA in Finance and Marketing. His subjects of interest are related to Instrumentation and control, Image Processing, Digital Electronics, Machine Learning, and Solar PV. He is an active member of the Institution of Electronics and Telecommunication Engineers (IETE) & IAENG (International Association of Engineers). He has 12 years of teaching and research experience and has published more than 15 research papers in national and international journals /conferences.

Publications

Using Machine Learning to Detect Emotions and Predict Human Psychology
Using Machine Learning to Detect Emotions and Predict Human Psychology
Mritunjay Rai, Jay Kumar Pandey. © 2024. 313 pages.
In the realm of analyzing human emotions through Artificial Intelligence (AI), a myriad of challenges persist. From the intricate nuances of emotional subtleties to the broader...
Machine and Deep Learning Techniques for Emotion Detection
Machine and Deep Learning Techniques for Emotion Detection
Mritunjay Rai, Jay Kumar Pandey. © 2024. 330 pages.
Computer understanding of human emotions has become crucial and complex within the era of digital interaction and artificial intelligence. Emotion detection, a field within AI...
Ethical Considerations in Emotion Data Collection and IoT Integration
Ethical Considerations in Emotion Data Collection and IoT Integration
Dharmesh Dhabliya, Rahul Sharma, Sukhvinder Singh Dari, Busani Sravani, Sanjiv Kumar Jain, Ritika Dhabliya, Jay Kumar Pandey, Ankur Gupta. © 2024. 23 pages.
Present research is focused on consideration of emotional data. In order to deal with such objective, EEG technique has been applied. Electroencephalography (EEG) is a technique...
Smart City Approaches Using Machine Learning and the IoT
Smart City Approaches Using Machine Learning and the IoT
Jay Kumar Pandey, Vivek Veeraiah, Suryansh Bhaskar Talukdar, Veera Bhaskar Talukdar, Vinod Motiram Rathod, Dharmesh Dhabliya. © 2023. 18 pages.
Machine learning has attracted the interest of academics and industrialists and is likely to develop. Machine learning may deliver widespread wireless connectivity. Machine...
Impact of Call Drop Ratio Over 5G Network
Impact of Call Drop Ratio Over 5G Network
Jay Kumar Pandey, Shahanawaj Ahamad, Vivek Veeraiah, Nishchal Adil, Dharmesh Dhabliya, Ashok Koujalagi, Ankur Gupta. © 2023. 24 pages.
The 5G network is the main topic of this investigation. 5G is expected to be far more advanced than 4G since it makes use of three distinct bands of the network spectrum. The...
Activity Recognition and IoT-Based Analysis Using Time Series and CNN
Activity Recognition and IoT-Based Analysis Using Time Series and CNN
N. Beemkumar, Sachin Gupta, Shambhu Bhardwaj, Dharmesh Dhabliya, Mritunjay Rai, Jay Kumar Pandey, Ankur Gupta. © 2023. 15 pages.
Using time series data obtained from accelerometer and gyroscope sensors on an iPhone 6s, the authors address the topic of human activity and attribute detection. The collection...