1st Edition
Deep Learning Approaches in Intelligent Wireless Networking
Chapter 1. Deep Learning Transformations for Innovating Healthcare in the Health Sector
Pawan Whig, Jhansi Bharathi Madavarapu, Nikhitha Yathiraju, Ramya Thatikonda
Chapter 2. Preliminary Study of 6G Networks Signifies A Revolutionary Change in Wireless Communication
Sivabalan Settu, Renugadevi Rajaram, Maridhu Bhargavi, Thangavel Murugan, Rathipriya Ramalingam
Chapter 3. AI Applications, Healthcare, Agriculture, Defence & Medicine
Y. Lalitha Kameswari
Chapter 4. Artificial intelligence & Machine learning in healthcare: A systematic bibliometric analysis
Risha Thakur, Anita Singh
Chapter 5. Deep Learning and Neural Network in the Stock Market
Shweta Mayor Sabharwalr, Niyati Aggarwal
Chapter 6. Deep Learning Strategies for Advanced Wireless Communication
G. Boopathi Raja
Chapter 7. A Machine Learning Based Model for Predicting Diabetes Leading to Retinopathy
Anam Reyaz, Md. Tabrez Nafis, Namria Ishaaq
Chapter 8. Intelligent Wireless Networks: Edge Computing, Sensors, Real-Time Computing, Security, Emerging Applications
Mohammad Ishrat, Wasim Khan, Anwar Ahamed Shaikh, Syed Mohd Faisal, Monia Mohammed Al Farsi
Chapter 9. Empowering the Future of Education and Data Science: A Deep Learning Approach to Wireless Networks
Mohd Anas Wajid, Mohammad Kaif Wajid, Ravi Kumar, Bharat Bhooshan, TVETClaudia Camacho Zuniga
Chapter 10. ML Algorithms Supervised/Unsupervised Learning, Application in Diverse Fields Including Networking
Teena Vats
Chapter 11. ML in Wireless Networks: Management, Security, Analytics, Virtualization, Sensors, Real Cases
Y. Lalitha Kameswari
Biography
Bharat Bhushan is an Associate Professor at Department of Computer Science and Engineering, Sharda School of Computing Science & Engineering, Sharda University, Greater Noida, India.
Mohd Anas Wajid is an Assistant Professor and Post-Doctoral Research Associate at TEC de Monterrey, Mexico. His research interests include Soft Computing, Machine Learning, Data Science, Information Retrieval, Neutrosophy, and STEM.
Sudhir Kumar Sharma is currently a Professor at Department of Computer Science & Applications, Sharda School of Computing Science & Engineering, Sharda University, Greater Noida, India His research interests include Artificial Intelligence, LLMs and Security.
Achyut Shankar is currently working as an Associate Professor at School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India. His areas of interest include Wireless sensor network, Machine Learning, Internet of things, Block-chain and Cloud computing.
Mithun Chakraborty is currently associated with Darjelling Hill Institute of Technology and Management as Founding Principal. His current research focus is intelligent sensing, communication and computing, joint radar communication based smart vehicle.
Parma Nand is Dean and Pro-VC at School of Computing Science & Engineering, Sharda University, Greater Noida, India. He has expertise in Wireless and Sensor Network, Cryptography, Algorithm and Computer Graphics.
