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Intelligent Internet of Things for Healthcare and Industry 2021 ed. [Kõva köide]

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  • Formaat: Hardback, 384 pages, kõrgus x laius: 235x155 mm, kaal: 764 g, 108 Illustrations, color; 12 Illustrations, black and white; XV, 384 p. 120 illus., 108 illus. in color., 1 Hardback
  • Sari: Internet of Things
  • Ilmumisaeg: 13-Feb-2022
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030814726
  • ISBN-13: 9783030814724
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  • Formaat: Hardback, 384 pages, kõrgus x laius: 235x155 mm, kaal: 764 g, 108 Illustrations, color; 12 Illustrations, black and white; XV, 384 p. 120 illus., 108 illus. in color., 1 Hardback
  • Sari: Internet of Things
  • Ilmumisaeg: 13-Feb-2022
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030814726
  • ISBN-13: 9783030814724

This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. This book is focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives. The data analytics discussed are relevant for healthcare and industry to meet many technical challenges and issues that need to be addressed to realize this potential. The IoT discussed helps to design and develop the intelligent medical and industry solutions assisted by data analytics and machine learning. At the end of every chapter readers are encouraged to check their understanding by means of brainstorming summary, discussion, exercises and solutions. 

Effectiveness of Machine and Deep Learning in IOT-Enabled Devices for Healthcare System
1(20)
Yogesh Kumar
Ruchi Singla
Network Protocols for the Internet of Health Things
21(46)
Trisha Das Mou
Gautam Srivastava
Affective Computing for eHealth Using Low-Cost Remote Internet of Things-Based EMG Platform
67(16)
Zygintas Tamulis
Mindaugas Vasiljevas
Robertas Damasevicius
Rytis Maskeliunas
Sanjay Misra
Application of the Internet of Things (IoT) to Fight the COVID-19 Pandemic
83(22)
Roseline Oluwaseun Ogundokun
Joseph Bamidele Awotunde
Emmanuel Abidemi Adeniyi
Sanjay Misra
An Enhanced IoT-Based Array of Sensors for Monitoring Patients' Health
105(22)
Modupe Odusami
Sanjay Misra
Olusola Abayomi-Alli
Shobayo Olamilekan
Chukwuebuka Moses
A Secured Smart Healthcare Monitoring Systems Using Blockchain Technology
127(18)
Joseph Bamidele Awotunde
Chinmay Chakraborty
Sakinat Oluwabukonla Folorunso
Computational Intelligence in Healthcare with Special Emphasis on Bioinformatics and Internet of Medical Things
145(26)
Siddharth Banyal
Deepanjali Mehra
Amartya
Siddhant Banyal
Deepak Kumar Sharma
Uttam Ghosh
A Review on Security and Privacy of Internet of Medical Things
171(18)
Mohan Krishna Kagita
Navod Thilakarathne
Thippa Reddy Gadekallu
Praveen Kumar Reddy Maddikunta
An Introduction to Wearable Sensor Technology
189(10)
Arthur Medeiros
Lucas Leme
Gautam Srivastava
A Fog-Based Intelligent Secured IoMT Framework for Early Diabetes Prediction
199(20)
Dukka Karun Kumar Reddy
H. S. Behera
Janmenjoy Nayak
Ashanta Ranjan Routray
Pemmada Suresh Kumar
Uttam Ghosh
A Comprehensive Analysis of Sustainable IoT Infrastructure in the Post-COVID-19 Era
219(20)
Deepsubhra Guha Roy
Reinforced Rider Optimization Algorithm for Diagnosis of Autism Spectrum Disorder and Medical Data
239(28)
N. B. Arunekumar
K. Suresh Joseph
Machine Learning for Fog Computing-Based IoT Networks in Smart City Environment
267(20)
Subhendu Ghosh
Vinod Chandra
Aneek Adhya
QoS and Energy Efficiency Using Green Cloud Computing
287(20)
Riman Mandal
Sourav Banerjee
Md Bagbul Islam
Pushpita Chatterjee
Utpal Biswas
Privacy Issues in Smart IoT for Healthcare and Industry
307(20)
Kateryna Mokliakova
Gautam Srivastava
Intelligent IoT for Automotive Industry 4.0: Challenges, Opportunities, and Future Trends
327(26)
Raj Krishan Ghosh
Anindya Banerjee
Prasenjit Aich
Deborsi Basu
Uttam Ghosh
Smart Security for Industrial and Healthcare IoT Applications
353(20)
M. Aruna
S. Ananda Kumar
B. Arthi
Uttam Ghosh
Index 373
Dr. Uttam Ghosh is working as an Assistant Professor of the Practice in the Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA. Dr. Ghosh obtained his PhD in Electronics and Electrical Engineering from the Indian Institute of Technology Kharagpur, India in 2013, and has Post-doctoral experience at the University of Illinois in Urbana-Champaign, Fordham University, and Tennessee State University. He has been awarded the 2018-2019 Junior Faculty Teaching Fellow (JFTF) and has been promoted to a Graduate Faculty position at Vanderbilt University. Dr. Ghosh has published Forty papers at reputed international journals including IEEE Transaction, Elsevier, Springer, IET, Wiley, InderScience and IETE, and also in top international conferences sponsored by IEEE, ACM, and Springer. Dr. Ghosh has conducted several sessions and workshops related to Cyber-Physical Systems (CPS), SDN, IoT and smart cities as co-chair at top international conferencesincluding IEEE SECON, CPSCOM, IEMCON, ICDCS and so on. He has served as a Technical Program Committee (TPC) member at renowned international conferences including ACM SIGCSE, IEEE LCN, IEMCON, STPSA, SCS SpringSim, IEEE Compsac. He is serving as an Associate Editor of the International Journal of Computers and Applications, Taylor & Francis, and also a reviewer for international journals including IEEE Transactions, Elsevier, Springer and Wiley. Dr. Ghosh is contributing as guest editor for special issues with ACM Transactions on Internet Technology (TOIT), Springer MTAP, Wiley ITL. He is a Senior Member of the IEEE and a member of AAAS, ASEE, ACM, and Sigma Xi. His main research interests include Cybersecurity, Computer Networks, Wireless Networks, Information Centric Networking and Software-Defined Networking, Energy Delivery Systems, Cloud Computing.





 





Dr. Chinmay Chakraborty is an Assistant Professor in the Dept. of Electronics and Communication Engineering, BIT Mesra. Before BIT, he worked at the Faculty of Science and Technology, ICFAI University, Agartala, Tripura, India as a Sr. lecturer. He worked as a Research Consultant in the Coal India project at Industrial Engineering & Management, IIT Kharagpur. He worked as a project coordinator of the Telecom Convergence Switch project under the Indo-US joint initiative. He also worked as a Network Engineer in System Administration at MISPL, India. His primary areas of research include Wireless Body Area Network, Internet of Medical Things, Energy-Efficient Wireless Communications and Networking, Point-of-Care Diagnosis. Dr. Chakraborty has published fifty papers at reputed international journals, chapters, and international conferences. He has authored and edited seven books PSTN-IP Telephony Gateway for Ensuring QoS in Heterogeneous Networks, Lap Lambert, Advanced Classification Techniques for Healthcare Analysis IGI Global, and Smart Medical Data Sensing and IoT Systems Design in Healthcare, IGI Global , Artificial Intelligence and the Fourth Industrial Revolution, Pan Stanford Publishing, Internet of Things for Healthcare Technologies, Springer Nature, Advances in Telemedicine for Health Monitoring, IET, Green Computing and Predictive Analytics for Healthcare, CRC. He serves as a guest editor of Future Internet journal special issue (Internet of Healthcare Things (IoHT): Methods, Advances, and Applications. Dr. Chakraborty is a member of Internet Society, Machine Intelligence Research Labs, and Institute for Engineering Research and Publication. He received a young research excellence award, Global Peer Review Award, Young Faculty Award, and Outstanding Researcher Award.





 





Lalit Garg is a Senior Lecturer in Computer Information Systems at the University of Malta, Malta and an honorary lecturer at the University of Liverpool, UK. His research interests are missing data handling, machine learning, data mining, mathematical and stochasticmodelling, and operational research, and their applications, especially in the healthcare domain. He has published over 100 technical papers in refereed high impact journals, conferences and books. He has organized many conferences and also delivered keynotes in many other conferences.





 Dr. Gautam Srivastava was awarded his B.Sc. degree from Briar Cliff University in U.S.A. in the year 2004, followed by his M.Sc. and Ph.D. degrees from the University of Victoria in Victoria, British Columbia, Canada in the years 2006 and 2012, respectively. He then taught for 3 years at the University of Victoria in the Department of Computer Science, where he was regarded as one of the top undergraduate professors in the Computer Science Course Instruction at the University. From there in the year 2014, he joined a tenure-track position at Brandon University in Brandon, Manitoba, Canada, where he currently is active in various professional and scholarly activities. He was promoted tothe rank Associate Professor in January 2018. Dr. G, as he is popularly known, is active in research in the field of Data Mining and Big Data. In his 8-year academic career, he has published a total of 200 papers in high-impact conferences in many countries and in high-status journals (SCI, SCIE) and has also delivered invited guest lectures on Big Data, Cloud Computing, Internet of Things, and Cryptography at many Taiwanese and Czech universities. He is an Editor of several international scientific research journals. He currently has active research projects with other academics in Taiwan, Singapore, Canada, Czech Republic, Poland and U.S.A. He is constantly looking for collaboration opportunities with foreign professors and students.