Bioengineering and IoT

Dr. Jayashree Katti is a Professor and Head of the Department of Information Technology at Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India. Her areas of interest include cryptography, visual cryptography, algebraic cryptanalysis, implicant theory, parallel computing, and augmented and virtual reality.Dr. Atul Kathole is an Assistant Professor in Pimpri Chinchwad College of Engineering, Pune. He has completed his education in computer science and engineering. His areas of interest include ML, IoT, networking, and embedded systems.Dr. Dac-Nhuong Le has an M.Sc. and Ph.D. in computer science from Vietnam National University, Vietnam in 2009 and 2015, respectively. He is an Associate Professor in Computer Science, Deputy Head of Faculty of Information Technology, Haiphong University, Vietnam. His areas of research include soft computing, network communication, security and vulnerability, network performance analysis and simulation, cloud computing, IoT, and image processing in biomedical.

• Chapter 1 Automated Waste Management System: A Deep Learning Approach Chapter 2 Challenges and Key Issues in IoT Privacy and Security Chapter 3 Recent Advances in Neuromuscular Sciences in Sports Chapter 4 Wearable Devices, Internet of Things for Evaluation of Movement in Neck Pain Patients Chapter 5 Smart Nutrition: Leveraging IoT and AI for Real-Time, Personalized Dietary Management Chapter 6 Culturally Rooted and AI-Enhanced Cryptographic Key Generation for Secure IoT Systems: A KaTaPaYadi–N-Gram–RNN Hybrid Framework Chapter 7 IoT-Enabled Smart Boat for Enhanced Pond Fishing Chapter 8 Comprehensive Health Forecasting and Care Solutions Using Predictive Analytics and AI Techniques Chapter 9 Remote Health Surveillance (RHS) Chapter 10 Enhancing Patient Care through the Use of Machine Learning-Powered Internet of Things (IoT) Solutions in the Healthcare Industry Chapter 11 Implementing IoT for Dispensing Sanitary Napkins Using Digital Payment Chapter 12 Artificial Intelligence Empowered Internet of Nanorobotics for Medical Systems Chapter 13 Deep Learning Approach to Detecting Diabetes Mellitus: Addressing the Problem of Data Accessibility and Quality Chapter 14 Wearables, Internet of Things on Evaluation of Movement in Neck Pain Patients Chapter 15 Detection of Brain Tumors in 3D MRI through Intelligent Segmentation using DPSO and FODPSO Algorithms Chapter 16 Machine Learning-Enabled Smart Health Monitoring for Predictive Analytics