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Handbook of Data Science Approaches for Biomedical Engineering

  • ID: 4806691
  • Book
  • November 2019
  • 318 Pages
  • Elsevier Science and Technology
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Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering progress and the ways they are aligning with the latest technologies in IoT and big data. In addition, the book includes various real-time/offline medical applications that directly or indirectly rely on medical and information technology. Case studies in the field of medical science, i.e., biomedical engineering, computer science, information security, and interdisciplinary tools, along with modern tools and the technologies used are also included to enhance understanding.

Today, the role of Big Data and IoT proves that ninety percent of data currently available has been generated in the last couple of years, with rapid increases happening every day. The reason for this growth is increasing in communication through electronic devices, sensors, web logs, global positioning system (GPS) data, mobile data, IoT, etc.

  • Provides in-depth information about Biomedical Engineering with Big Data and Internet of Things
  • Includes technical approaches for solving real-time healthcare problems and practical solutions through case studies in Big Data and Internet of Things
  • Discusses big data applications for healthcare management, such as predictive analytics and forecasting, big data integration for medical data, algorithms and techniques to speed up the analysis of big medical data, and more

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1. Analysis of the role and scope of big data analytics with IoT in Healthcare domain 2. Automated human cortical bone haversian canal Histomorphometric comparison system 3. Biomedical Instrument and automation: Automatic Instrumentation in Biomedical Engineering 4. Contribution of IoT and Big Data in Modern Health Care Applications in Smart City Mamata Rath and Vijender 5. Emerging Trends in IoT and Big Data Analytics for Biomedical and Healthcare Technologies 6. Recent Advances on Big Data Analysis for Malaria Prediction and Various Diagnosis Methodologies 7. Semantic Interoperability in IoT and Big Data for Healthcare: A Collaborative Approach 8. Why Big Data, and what its: Basics-to Advance Big Data Journey for medical industry 9. Semi-Supervised Fuzzy Clustering Methods for X-Ray Image Segmentation
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Balas, Valentina E.
Dr. Valentina E. Balas is currently Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, University Aurel Vlaicu, Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is the author of more than 170 research papers in refereed journals and international conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is Editor-in-Chief of the International Journal of Advanced Intelligence Paradigms (IJAIP), member of editorial boards for national and international journals, serves as a reviewer for many international journals and conferences and is an evaluating expert for national and international projects. She has participated in many international conferences as General Chair, Organizer, Session Chair and member of international program committees. She has been a mentor for many student teams in the Microsoft Imagine Cup, Google, and IEEE competitions over the several years. She is member of EUSFLAT, ACM and a Senior Member of IEEE, TC - Emergent Technologies (IEEE CIS) and TC - Soft Computing (IEEE SMCS). Dr. Balas is Vice-president (Awards) of IFSA International Fuzzy Systems Association Council and Joint Secretary of the Governing Council of the Forum for Interdisciplinary Mathematics (FIM), Multidisciplinary Academic Body, India. She is a Senior Member of IEEE.
Solanki, Vijender Kumar
Vijender Kumar Solanki, Ph.D., is an Associate Professor in Department of Computer Science & Engineering, CMR Institute of Technology (Autonomous), Hyderabad, TS, India. He has more than 11 years of academic experience in network security, IoT, Big Data, Smart City and IT. Prior to his current role, he was associated with Apeejay Institute of Technology, Greater Noida, UP, KSRCE (Autonomous) Institution, Tamilnadu, India & Institute of Technology & Science, Ghaziabad, UP, India. He has attended an orientation program at UGC-Academic Staff College, University of Kerala, Thiruvananthapuram, Kerala & Refresher course at Indian Institute of Information Technology, Allahabad, UP, India.He has authored or co-authored more than 25 research articles that are published in journals, books and conference proceedings. He has edited or co-edited 4 books in the area of Information Technology. He teaches graduate & post graduate level courses in IT at ITS. He received Ph.D in Computer Science and Engineering from Anna University, Chennai, India in 2017 and ME, MCA from Maharishi Dayanand University, Rohtak, Haryana, India in 2007 and 2004, respectively and a bachelor's degree in Science from JLN Government College, Faridabad Haryana, India in 2001.He is Editor in International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) ISSN 2581-3242, Associate Editor in International Journal of Information Retrieval Research (IJIRR), IGI-GLOBAL, USA,ISSN: 2155-6377 | E-ISSN: 2155-6385 also serving editorial board members with many reputed journals. He has guest edited many volumes, with IGI-Global, USA, InderScience & Many more reputed publishers.
Kumar, Raghvendra
Dr. Raghvendra Kumar is working as Associate Professor in Computer Science and Engineering Department at GIET University, India. He received B. Tech, M.Tech and Ph.D. in Computer Science and Engineering, India, and Postdoc Fellow from Institute of Information Technology, Virtual Reality and Multimedia, Vietnam. He serves as Series Editor Internet of Everything (IOE): Security and Privacy Paradigm, Green Engineering and Technology: Concepts and Applications, publishes by CRC press, Taylor & Francis Group, USA, and Bio-Medical Engineering: Techniques and Applications, Publishes by Apple Academic Press, CRC Press, Taylor & Francis Group, USA. He also serves as acquisition editor for Computer Science by Apple Academic Press, CRC Press, Taylor & Francis Group, USA. He has published number of research papers in international journal (SCI/SCIE/ESCI/Scopus) and conferences including IEEE and Springer as well as serve as organizing chair (RICE-2019, 2020), volume Editor (RICE-2018), Keynote speaker, session chair, Co-chair, publicity chair, publication chair, advisory board, Technical program Committee members in many international and national conferences and serve as guest editors in many special issues from reputed journals (Indexed By: Scopus, ESCI, SCI). He also published 13 chapters in edited book published by IGI Global, Springer and Elsevier. His researches areas are Computer Networks, Data Mining, cloud computing and Secure Multiparty Computations, Theory of Computer Science and Design of Algorithms. He authored and Edited 23 computer science books in field of Internet of Things, Data Mining, Biomedical Engineering, Big Data, Robotics, and IGI Global Publication, USA, IOS Press Netherland, Springer, Elsevier, CRC Press, USA. He is Managing Editor in International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) ISSN 2581-3242.
Khari, Manju
Manju Khari, Ph.D., is Assistant Professor at the Ambedkar Institute of Advanced Communication Technology and Research, under Govt. Of NCT Delhi, affiliated with Guru Gobind Singh Indraprastha University), India. She is also Professor In-charge of the IT Services of the Institute and has more than twelve years' experience in Network Planning & Management. She holds a Ph.D. in Computer Science & Engineering from the National Institute of Technology, Patna and received her Master's degree in Information Security from Ambedkar Institute Technology of Advanced Communication Technology and Research, Delhi, India. Her research interests are in software testing, software quality, software metrics, information security and nature-inspired algorithms. She has published 60 papers in refereed national and International journals and conferences, and has authored 6 book chapters and co-authored two books. She is a life member of various International and national research societies (SDIWC, IAENG, etc.). She also guest Editor of the International Journal of Advanced Intelligence Paradigms, reviewer for the International Journal of Forensic Engineering, and Editorial Board Member of the International Journal of Software Engineering and Knowledge Engineering.
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