Solanki / Khari / Kumar | Handbook of Data Science Approaches for Biomedical Engineering | Buch | 978-0-12-818318-2 | sack.de

Buch, Englisch, 318 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 610 g

Solanki / Khari / Kumar

Handbook of Data Science Approaches for Biomedical Engineering

Buch, Englisch, 318 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 610 g

ISBN: 978-0-12-818318-2
Verlag: Elsevier Science Publishing Co Inc


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.
Solanki / Khari / Kumar Handbook of Data Science Approaches for Biomedical Engineering jetzt bestellen!

Weitere Infos & Material


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


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
Raghvendra Kumar is working as an Associate Professor in Computer Science and Engineering Department at GIET University, India. He received BTech, MTech, and PhD in Computer Science and Engineering, India, and Postdoc Fellow from the Institute of Information Technology, Virtual Reality and Multimedia, Vietnam. He has published a number of research papers in international journals and conferences. His research 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 IoT, data mining, and biomedical engineering.

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.


Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.