Chapter 1. Detection of Brain Tumor Using K-Means Clustering.- Chapter 2. Energy-Efficiency in IoT based Smart Healthcare.- Chapter 3. On Efficient and Secure Multi-Access Edge Computing for Internet of Things.- Chapter 4. Execution survey and state of the art of different ML-based Ensemble classifiers approach contextual analysis of spam remark location.- Chapter 5. T-Shaped MIMO Microstrip Patch Antenna for C-Band Applications.- Chapter 6. Timely Prediction of Diabetes by means of Machine Learning Practices.- Chapter 7. Real Time Eyesight Power Prediction using Deep Learning methods.- Chapter 8. Image Distortion Analysis in Stego-images using LSB.- Chapter 9. Towards A Secured IoT Communication: A Blockchain Implementation Through APIs.- Chapter 10. Application of Truffle Suite in a Blockchain Environment.- Chapter 11. An Unsupervised Machine Learning Approach to Prediction of Price for Taxi Rides.- Chapter 12. Facial Landmark Features Based Face Misclassification Detection System.- Chapter 13. Predictive Model for Agriculture Using Markov Model.- Chapter 14. Enhancement of Energy Efficiency in Wireless Sensor Network with Mobile Sink: A Survey.- Chapter 15. An Empirical Study of Design Techniques of Chatbot, A Review.
Dr. Pradeep Kumar Singh, is currently working as a Professor and Head, Department of Computer Science, KIET Group of Institutions, Delhi- NCR Campus, Ghaziabad, India. He is Associate Editor of the IJISMD [IJISMD is indexed by Scopus and Web of Science], IJAEC, IGI Global USA, SPY, Wiley IJISC from Romania. He is recently appointed as Section Editor, Discover IoT, Springer Journal. He has published nearly 120 research papers. He has received three sponsored research projects grant worth Rs 25 lakhs. He has edited a total 16 books from Springer and Elsevier and also edited several special issues for SCI and SCIE Journals from Elsevier and IGI Global. He has Google Scholar citations 1551, H-index 20, and i-10 index 50.
Prof. Slawomir T. Wierzchoń received M.Sc. and Ph.D. degrees in Computer Science from Technical University of Warsaw, Poland. He holds Habilitation (D.Sc.) in Uncertainty Management from Polish Academy ofSciences. In 2003, he received the title of Professor from the President of Poland. Currently, he is Full Professor at the Institute of Computer Science of Polish Academy of Sciences. His research interests include computational intelligence, uncertainty management, information retrieval, machine learning, and data mining. He is Author/Co-author of over 100 peer-reviewed papers in international journals and international conferences. He published, as Author/Co-author, 11 monographs from the field of machine learning. In the period 2000-2013, he co-organized 13 international conferences on intelligent information systems. Co-authored proceedings from these conferences was published by Springer. He co-edited two volumes of proceedings of the international conference on computer information systems and industrial management, and he has served as Guest Co-editor of three special issues of Information & Control journal. Currently, he is Member of the editorial board for some international journals, as well as Member of many program committees for international conferences. He cooperated with medical centers in the area of statistical data analysis and knowledge discovery in databases. For more information, visit his homepage:
Dr. Sudeep Tanwar is Professor in the Computer Engineering Department at the Institute of Technology of Nirma University, Ahmedabad, India. He received his Ph.D. in 2016 from the Faculty of Engineering and Technology, Mewar University, India, with a specialization in wireless sensor networks. His current interests include routing issues in WSN, integration of sensors in the cloud, computational aspects of smart grids, and blockchain technology. He has authored or co-authored more than 150 technical research papers published in leading peer-reviewed international journals and international conferences from the IEEE, Elsevier, Springer, John Wiley, and has authored five books: He is recipient of the Best Research Paper Awards from IEEE GLOBECOM-2018 and Springer ICRIC-2019. He is TPC Member and Reviewer of many international conferences across the globe. He is Associate Editor of the Security and Privacy Journal and is Member of the IAENG, ISTE, and CSTA. He has Google Scholar citations 4445, H-index 38, and i-10 index 98.
Dr. Joel J. P. C. Rodrigues [S'01, M'06, SM'06, F'20] is Professor at the Federal University of Piauí, Brazil; Senior Researcher at the Instituto de Telecomunicações, Portugal; and Collaborator of the Post-Graduation Program on Teleinformatics Engineering at the Federal University of Ceará (UFC), Brazil. He is Leader of the Next Generation Networks and Applications (NetGNA) research group (CNPq), IEEE Distinguished Lecturer [2018-2021], Member Representative of the IEEE Communications Society on the IEEE Biometrics Council [2011-..], and President of the scientific council at ParkUrbis - Covilhã Science and Technology Park [2015-..]. He was Director for Conference Development - IEEE ComSoc Board of Governors [2018-2019], Technical Activities Committee Chair of the IEEE ComSoc Latin America Region Board [2018-2019], Past-Chair of the IEEE ComSoc Technical Committee on eHealth, Past-Chair of the IEEE ComSoc Technical Committee on Communications Software, Steering Committee Member of the IEEE Life Sciences Technical Community and Publications Co-Chair [2014-2017]. He is Editor-in-chief of the International Journal on E-Health and Medical Communications and Editorial Board Member of several high-reputed journals. He has been General Chair and TPC Chair of many international conferences, including IEEE ICC, IEEE GLOBECOM, IEEE HEALTHCOM, and IEEE LatinCom. He has authored or coauthored over 850 papers in refereed international journals and conferences, 3 books, 2 patents, and 1 ITU-T recommendation. He had been awarded several Outstanding Leadership and Outstanding Service Awards by IEEE Communications Society and several best papers awards. He is Member of the Internet Society, Senior Member ACM, and Fellow of IEEE.
Dr. Maria Ganzha is Associate Professor in the Faculty of Mathematics and Information Science. She has MS and Ph.D. degrees in Mathematics from the Moscow State University, Russia, and a Doctor of Science degree (in Computer Science) from the Polish Academy of Sciences. She has published more than 200 research papers, is on editorial boards of 6 journals and a book series, and was invited to program committees of more than 150 conferences. She is also Principal Investigator, of the SRIPAS team, in the INTER-IoT project. Here, her team is responsible for use of semantic technologies in the context of interoperability of IoT platforms. She has 1594 Google Scholar citations, h-index 19, and i-10 index 58 in her account. Her area of interest includes computational intelligence, distributed systems, agent-based computing, and semantic data processing.
