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Deep Learning and Edge Computing Solutions for High Performance Computing

BuchKartoniert, Paperback
279 Seiten
Englisch
Springererschienen am28.01.20221st ed. 2021
This book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The contributors also include information on microarray data analysis, sequence analysis, genomics based analytics, disease network analysis, and techniques for big data Analytics and health information technology.mehr
Verfügbare Formate
BuchGebunden
EUR171,19
BuchKartoniert, Paperback
EUR171,19

Produkt

KlappentextThis book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The contributors also include information on microarray data analysis, sequence analysis, genomics based analytics, disease network analysis, and techniques for big data Analytics and health information technology.
Details
ISBN/GTIN978-3-030-60267-3
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2022
Erscheinungsdatum28.01.2022
Auflage1st ed. 2021
Seiten279 Seiten
SpracheEnglisch
IllustrationenXII, 279 p. 117 illus.
Artikel-Nr.50400889

Inhalt/Kritik

Inhaltsverzeichnis
Introduction.-  Deep learning methods for applications.- High performance Computing systems  for applications in Healthcare.- Hyperspectral data analysis and intelligent systems.- Microarray data analysis.- Sequence analysis.- Genomics based analytics.- Disease network analysis.- Techniques for big data Analytics and  health information technology.- Deep Learning and Cross-Media Methods for Big Data Representation.- Mobile edge computing for Large-scale multimodal data acquisition techniques.- Personal Big data driven approaches to collect and analyze large volumes of information from emerging technologies.- Mobile edge computing techniques for healthcare applications.- Swarm intelligence big data computing for healthcare applications.- Conclusion.mehr

Schlagworte

Autor

Dr. A. Suresh, B.E., M.Tech., Ph.D works as the Associate Professor, Department of the Computer Science and Engineering in SRM Institute of Science & Technology, Kattankulathur, Chenagalpattu District, Tamil Nadu, India. He has been nearly two decades of experience in teaching and his areas of specializations are Data Mining, Artificial Intelligence, Image Processing, Multimedia and System Software. He has published five patents and 95 papers in International journals. He has book authored Industrial IoT Application Architectures and use cases published in CRC press and edited book entitled Deep Neural Networks for Multimodal Imaging and Biomedical Application published in IGI Global. He has currently editing three books namely Deep learning and Edge Computing solutions for High Performance Computing in EAI/Springer Innovations in Communications and Computing,  Sensor Data Management and Analysis: The Role of Deep Learning and Bioinformatics and Medical Applications: Big Data using Deep Learning Algorithms in Scrivener-Wiley publisher. He has published 15 chapters in the book title An Intelligent Grid Network Based on Cloud Computing Infrastructures in IGI Global Publisher and Internet of Things for Industry 4.0 in EAI/Springer Innovations in Communication and Computing. He has published more than 40 papers in National and International Conferences. He has served as editor / reviewer for Springer, Elsevier, Wiley, IGI Global, IoS Press, Inderscience journals etc... He is a member of IEEE(Senior Member), ISTE, MCSI, IACSIT, IAENG, MCSTA and Global Member of Internet Society (ISOC). He has organized several National Workshop, Conferences and Technical Events. He is regularly invited to deliver lectures in various programmes for imparting skills in research methodology to students and research scholars. He has published four books in Indian publishers, in the name of Hospital Management, Data Structures & Algorithms, Computer Programming, Problem Solving and Python Programming and Programming in C . He has hosted two special sessions for IEEE sponsored conference in Osaka, Japan and Thailand.Sara Paiva is an Associate Professor at the Polytechnic Institute of Viana do Castelo, a PhD in Informatics Engineering from University of Vigo in 2011 and a Postdoctoral Researcher at the University of Oviedo since January 2018, under advanced driving assistants and urban mobility. She is the coordinator of a recently created research center in the Polytechnic Institute of Viana do Castelo. Her main line of research is mobility solutions with a focus on accessibility/social inclusion and also outdoor positioning enhancement. She has supervised several final projects and thesis of Bachelor and Master in her main line of work. She is Editor in Chief of EAI Endorsed Transaction on Smart Cities, Associate Editor of Springer Wireless Networks, editor of multiple Springer and IGI books, special issues, has authored and co-authored several scientific publications in journals and conferences, is a frequent reviewer of international journals and international conferences.  She is leader and collaborator of P2020 R&D projects and also member of H2020 R&D projects.