Upendra Kumar, PhD, is an Assistant Professor of Computer Science and Engineering at the Institute ofEngineering and Technology, Dr. A. P. J. Abdul Kalam Technical University, India. He has several years ofindustrial experience working on corporate projects as a JAVA/J2EE developer as well as over 10 years ofteaching and research experience. He has published many papers as well as books and book chapters;delivered expert lectures at international and national conferences, workshops, and seminars; and is amember of review committees of journals, conferences and professional bodies.Rajesh K. Kesharwani, PhD, is an Associate Professor of Computer Application, Nehru Gram Bharati,India. Dr. Kesharwani has authored articles, book chapters, and edited books with international publishersand is co-editor of the book series AAP Advances in Nutraceuticals. A member of many scientificcommunities as well as a reviewer for international journals, he has presented papers at national andinternational conferences and has received awards for his work. His research focuses on medicalinformatics, protein structure and function prediction, computer-aided drug designing, drug delivery,cancer biology, nanobiotechnology, and biomedical sciences.Raj K. Keservani, PhD, is an Associate Professor of Pharmacy at CSM Group of Institutions, India. Withover 12 years of academic experience, he has supervised students for their research work; has publishedmany books (authored and edited), book chapters, and papers in national and international journals; andacted as a reviewer for several international scientific journals. He is a co-editor of the book series AAPAdvances in Nutraceuticals. His work revolves around nutraceutical and functional foods, novel drugdelivery systems, transdermal drug delivery/drug delivery, health science, cancer biology, andneurobiology.

• 1. The Role of Big Data Analytics and IoT in the Healthcare Domain. 2. Machine Learning Techniques Used for Biomedical and Healthcare Systems. 3. Study of ML-Enabled Big Data Analysis for IoT-Based Smart Medico Systems. 4. Predictive Modeling of Vector-Borne Diseases and Their Pathogens Using Artificial Intelligence. 5. Machine Learning with Cloud-IoT in a Health Prediction System. 6. Implementation of Compact Dual-Band Printed Antenna for Biomedical Applications. 7. Biomedical Applications Based on Mobile Phone Cell Network Systems. 8. Intelligent Visual to Textual Mapping in Automatic Medical Diagnosis and Treatment. 9. Design and Analysis of OTA-OC CMOS Filter for Recording High Focal Oscillations-EEG Application. 10. A Flow-Induced Piezoelectric Vibration Energy Harvester (PVEH) with Magnetic Force Enhancement in Biomedical and mHealth. 11. Analysis of Integrated Intelligent Methods Toward Medical Decision-Making. 12. Image Description Based Medical Image Retrieval. 13. Deep Learning, Extreme Machine Learning, and Kernel-Based ELM for the Diagnosis of Alzheimer‘s Disease.

“Introduces the key technologies supporting smart health and presents the current state of smart health inseveral important areas. . . . The existing problems of smart healthcare have been discussed and solutionsare proposed. . . . [The book] demonstrates exceptional research expertise in electronic devices andsystems for biomedical and healthcare applications and provides a global perspective on current and futureadvances in the field.”—Prof. (Dr.) Neelendra Badal, Director, Rajkiy Engineering College, Bijnor, UP, India; Professor, KNITSulatnpur, UP, India.