Deep Learning and Edge Computing Solutions for High Performance Computing
Springer International Publishing (Verlag)
978-3-030-60264-2 (ISBN)
lt;p>Dr. A. Suresh, B.E., M.Tech., Ph.D works as the Professor & Head, Department of the Computer Science and Engineering in Nehru Institute of Engineering & Technology, Coimbatore, 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 two patents and 90 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.
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.
| Erscheinungsdatum | 29.01.2021 |
|---|---|
| Reihe/Serie | EAI/Springer Innovations in Communication and Computing |
| Zusatzinfo | XII, 279 p. 117 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 595 g |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Technik ► Nachrichtentechnik | |
| Schlagworte | Deep Learning in Healthcare Applications • Deep learning in medical applications • Heterogenous data processing using deep learning • High performance Computing systems in Healthcare Applications • Hyperspectral data analysis and intelligent systems • Mobile edge computing for Large-scale computing • Swarm intelligence based big data computing |
| ISBN-10 | 3-030-60264-8 / 3030602648 |
| ISBN-13 | 978-3-030-60264-2 / 9783030602642 |
| Zustand | Neuware |
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