Paradigms of Smart and Intelligent Communication, 5G and Beyond

Artificial Cognitive Computing for Smart Communications.- Green IoT using Machine Learning, Deep Learning Models for 5G Networks.- Integration of IOT and 5G Communication.- Role of IoT in Smart Communication and 5G using Antenna Array.- Applications of Deep Reinforcement Learning in Wireless Networks.- Detection of Consumption of Alcohol Using Artificial Intelligence.- Analysis of Finger Vein Pattern Recognition Technique using Machine Learning.- Machine Learning Techniques for Anomaly Detection.- Application of AI & ML in 5G Communication.- Software Defined Network-based Management Architecture for 5G Network.- Reversible Logic Based Single Layer Flip Flops and Shift Registers in QCA Framework for the Application of Nano-communication.- Machine Learning Technique for Few-mode Fiber Design with Inverse Modelling for 5G and Beyond.- IoT for Landslides: Applications, Technologies and Challenges.- A Review: Dust Cleaning Approach of Solar Photovoltaic System Using Emerging Technology.- Prediction of Heart Disease Using Hybrid Machine Learning Technique.

Amrita Rai received her B.Tech. degree from Nagpur University, M.Tech. degree from Maharishi Dayanand University, Rohtak, and a Ph.D. degree from Thapar University, Patiala, in 1998, 2007, and 2015, respectively. She has over 21 years of teaching, research, and administrative experience. She had published several reputed international/SCI papers and attended various national & international conferences. She has guided more than 20 postgraduate and 100 undergraduate theses. She has written a book and 6 book chapters. She has filed six patents and delivered expert lectures on smart sensors transforming healthcare systems, IoT and sensors, and adaptive signal processing in many universities and colleges.


Dinesh Kumar Singh received B.E. in Electronics and Communication Engineering from Kumaon Engineering College, India in 2003. He pursued his M.Tech. in Digital Communication from RGPV University, India, and his Ph.D. from the Indian Institute of Technology (ISM), Dhanbad, India. His area of interest is microwave engineering. He is currently an Associate Professor in the Electronics and Communication Engineering Department at the G.L. Bajaj Institute of Technology and Management, India. His further research areas are designing high gain, compact, re-configurable, fractal-shape, circularly polarized microstrip antennas, substrate integrated waveguide, and magneto-electric dipole antennas for a modern communication system. He has been credited with publishing several research papers in reputed international journals and conferences.






Amit Sehgal is Ph.D. in Electronics Engineering from Dr. A P J Abdul Kalam Technical University, India. He completed his M.Tech. from Guru Nanak Dev Engineering College, India, and his B.E. from C R State College of Engineering. He has over 20 years of experience in the industry, academia, and research. He has contributed to several research and development