Cognitive Internet of Medical Things for Smart Healthcare
Services and Applications
Herausgegeben:Hassanien, Aboul Ella; Khamparia, Aditya; Gupta, Deepak; Shankar, K.; Slowik, Adam
Cognitive Internet of Medical Things for Smart Healthcare
Services and Applications
Herausgegeben:Hassanien, Aboul Ella; Khamparia, Aditya; Gupta, Deepak; Shankar, K.; Slowik, Adam
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This book aims to provide a detailed understanding of IoMT-supported applications while engaging premium smart computing methods and improved algorithms in the field of computer science. It contains thirteen chapters discussing various applications under the umbrella of the Internet of Medical Things. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions.
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This book aims to provide a detailed understanding of IoMT-supported applications while engaging premium smart computing methods and improved algorithms in the field of computer science. It contains thirteen chapters discussing various applications under the umbrella of the Internet of Medical Things. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions.
Produktdetails
- Produktdetails
- Studies in Systems, Decision and Control 311
- Verlag: Springer / Springer International Publishing / Springer, Berlin
- Artikelnr. des Verlages: 978-3-030-55835-2
- 1st ed. 2021
- Seitenzahl: 244
- Erscheinungstermin: 21. Oktober 2021
- Englisch
- Abmessung: 235mm x 155mm x 14mm
- Gewicht: 376g
- ISBN-13: 9783030558352
- ISBN-10: 3030558355
- Artikelnr.: 62618597
- Studies in Systems, Decision and Control 311
- Verlag: Springer / Springer International Publishing / Springer, Berlin
- Artikelnr. des Verlages: 978-3-030-55835-2
- 1st ed. 2021
- Seitenzahl: 244
- Erscheinungstermin: 21. Oktober 2021
- Englisch
- Abmessung: 235mm x 155mm x 14mm
- Gewicht: 376g
- ISBN-13: 9783030558352
- ISBN-10: 3030558355
- Artikelnr.: 62618597
Dr. Aboul Ella Hassanien is Founder and Head of the Egyptian Scienti¿c Research Group (SRGE). He has more than 1000 scienti¿c research papers pub- lished in prestigious international journals and over 50 books covering diverse topics such as data mining, medical images, intelligent systems, social networks and smart environment. He won several awards including the Best Researcher of the Youth Award of Astronomy and Geophysics of the National Research Institute, Academy of Scienti¿c Research (Egypt, 1990). He was also granted a Scienti¿c Excellence Award in Humanities from the University of Kuwait for the 2004 Award and received the superiority of scienti¿c-University Award (Cairo University, 2013). Also, he honored in Egypt as the best researcher in Cairo University in 2013. He also received the Islamic Educational, Scienti¿c and Cultural Organization (ISESCO) prize on Technology (2014) and received the State Award for Excellence in Engineering Sciences 2015. He was awarded the Medal of Sciences and Arts of the ¿rst class by the President of the Arab Republic of Egypt, 2017. He was awarded the International Scopus Award for the meritorious research contribution in the ¿eld of computer science (2019). Dr. Aditya Khamparia has expertise in teaching, entrepreneurship and research & development of 8 years. He received his Ph.D. degree from Lovely Professional University, Punjab, in May 2018. He has completed his M.Tech. from VIT University and B.Tech. from RGPV, Bhopal. He has completed his PDF from UNIFOR, Brazil. He has around 65 research papers along with chapters including more than 15 papers in SCI indexed journals with cumulative impact factor of above 50 to his credit. Additionally, he has authored and edited ¿ve books. Furthermore, he has served the research ¿eld as Keynote Speaker/Session Chair/Reviewer/TPC Member/Guest Editor and many more positions in various conferences and journals. His research interests include machine learning, deep learning, educational technologies, computer vision. Dr. Deepak Gupta is an eminent academician and plays versatile roles and responsibilities juggling between lectures, research, publications, consultancy, community service, Ph.D. and postdoctorate supervision, etc. With 13 years of rich expertise in teaching and two years in industry, he focuses on rational and practical learning. He has contributed massive literature in the ¿elds of human-computer interaction, intelligent data analysis, nature-inspired computing, machine learning and soft computing. He has served as Editor in Chief, Guest Editor and Associate Editor in SCI and various other reputed journals. He has completed his postdoc from Inatel, Brazil, and Ph.D. from Dr. A.P.J. Abdul Kalam Technical University. He has authored/edited 37 books with national-/international-level publisher (Elsevier, Springer, Wiley, Katson). He has published 132 scienti¿c research publications in reputed international journals and conferences including 62 SCI indexed journals of IEEE, Elsevier, Springer, Wiley and many more. He is the convener and organizer of 'ICICC' Springer conference series. Dr. K. Shankar is currently Postdoc Fellow in the Alagappa University, Karaikudi, India. Collectively, he authored/co-authored over 50+ ISI journal arti- cles (with total impact factor 150+) and 100+ Scopus indexed articles. He has guest-edited several special issues at many journals published by SAGE, TechScience, Inderscience and MDPI. He has served as Guest Editor and Associate Editor in SCI, Scopus indexed journals like Elsevier, Springer, IGI, Wiley & MDPI. He has served as Chair (program, publications, Technical Committee and track) on several international conferences. He has delivered several invited and keynote talks, and reviewed the technology leading articles for journals like Scienti¿c Reports-Nature, the IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Reliability, the IEEE Access, the IEEE Internet of Things, Big Data Research, Human-centric Computing and Information Sciences, and the IEEE Internet of Things. He authored/edited conference proceedings, chapters and two books published by Springer. He has been a part of various seminars, paper pre- sentations, research paper reviews, and convener and a session chair of the several conferences. He displayed vast success in continuously acquiring newknowledge and applying innovative pedagogies, has always aimed to be an effective educator and has a global outlook. His current research interests include healthcare applications, secret image sharing scheme, digital image security, cryptography, Internet of Things and optimization algorithms. Adam Slowik (IEEE Member 2007; IEEE Senior Member 2012) received the B.Sc. and M.Sc. degrees in computer engineering and electronics in 2001 and the Ph.D. degree with distinction in 2007 from the Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland. He received the Dr. Habil. degree in computer science (intelligent systems) in 2013 from the Department of Mechanical Engineering and Computer Science, Czestochowa University of Technology, Czestochowa, Poland. Since October 2013, he has been Associate Professor in the Department of Electronics and Computer Science, Koszalin University of Technology. His research interests include soft computing, computational intelligence and, particularly, bio-inspired optimization algorithms and their engineering applications. He is a reviewer for many international scienti¿c journals. He is Author or Coauthor of over 80 refereed articles in international journals, two books and conference proceedings, including one invited talk. He is Associate Editor of the IEEE Transactions on Industrial Informatics. He is Member of the program committees of several important inter- national conferences in the areas of arti¿cial intelligence and evolutionary com- putation. He was a recipient of one Best Paper Award (IEEE Conference on Human System Interaction-HSI 2008).
A Review of Applications, Security and Challenges of Internet of Medical Things.- Applications and Challenges of Cloud Integrated IoMT.- An Effective Fuzzy Logic Based Clustering Scheme for Edge-Computing Based Internet of Medical Things Systems.- An IOT Based Medical Tracking System (IMTS) and Prediction with Probability of Infection.
A Review of Applications, Security and Challenges of Internet of Medical Things.- Applications and Challenges of Cloud Integrated IoMT.- An Effective Fuzzy Logic Based Clustering Scheme for Edge-Computing Based Internet of Medical Things Systems.- An IOT Based Medical Tracking System (IMTS) and Prediction with Probability of Infection.