Big Data for Remote Sensing: Visualization, Analysis and Interpretation
Digital Earth and Smart Earth
Häftad, Engelska, 2018
2 039 kr
Produktinformation
- Utgivningsdatum2018-12-22
- Mått155 x 235 x 10 mm
- Vikt265 g
- FormatHäftad
- SpråkEngelska
- Antal sidor154
- FörlagSpringer Nature Switzerland AG
- ISBN9783030078959
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Nilanjan Dey is an Assistant Professor at the Department of Information Technology, Techno India College of Technology, Kolkata, W.B., India. He holds an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA and Research Scientist of Laboratory of Applied Mathematical Modeling in Human Physiology, Territorial Organization of- Scientific and Engineering Unions, BULGARIA. Associate Researcher of Laboratoire RIADI, University of Manouba, TUNISIA. His research topic is Medical Imaging, Soft computing, Data mining, Machine learning, Rough set, Computer Aided Diagnosis, Atherosclerosis. He has 20 books and 300 international conferences and journal papers. He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence (IGI Global), US, International Journal of Rough Sets and Data Analysis (IGI Global), US, the International Journal of Synthetic Emotions (IJSE), IGI Global, US, and International Journal of Natural ComputingResearch (IGI Global), US. Series Editor of Advances in Geospatial Technologies (AGT) Book Series, (IGI Global), US, Executive Editor of International Journal of Image Mining (IJIM), Inderscience, and Associated Editor of IEEE Access journal and the International Journal of Service Science, Management, Engineering and Technology, IGI Global. He is a life member of IE, UACEE, ISOC Chintan Bhatt is an Assistant Professor of U & P U Patel Department of Computer Engineering at Charotar University of Science And Technology. His PhD in Computer Science, he was M.Tech. in Computer Engineering, Dharmsinh Desai University, 2009 - 2011, B.E. in Computer Engineering, Gujarat University (Charotar Institute of Technology), 2005 – 2009. His research interests include Data Mining, Software Engineering, Networking, Big Data, Internet of Things (IoT), Mobile Computing. He received an award on 2015, Paper Publication at International Conference Award and Faculty with Maximum Publication in CSIC Award during CSI Annual Convention, New Delhi. He had organized special sessions on Internet of Things (IoT), CSNT, Gwalior during 4-6 April, 2015 and on Internet of Things (IoT) and big data in IoT , ICTCS, at Udaipur during 14-16 November, 2014. He is an active reviewer in the Wireless Communications, IEEE and Internet of Things Journal, IEEE, as well as Mobile Networks and Applications, Springer. He has several publications in repute journals and two books.Amira S. Ashour is currently an Assistant Professor and Head of Department-EEC, Faculty of Engineering, Tanta University, Egypt. She has been the Vice Chair of Computer Engineering Department, Computers and Information Technology College, Taif University, KSA for one year from 2015. She has been the vice chair of CS department, CIT college, Taif University, KSA for 5 years. Her research interests are Smart antenna, Direction of arrival estimation, Targets tracking, Image processing, Medical imaging,Machine learning, Signal/image/video processing, Image analysis, Computer vision, and Optimization. She has 6 books and about 70 published journal papers. She is an Editor-in-Chief for the International Journal of Synthetic Emotions (IJSE), IGI Global, US. She is an Associate Editor for the IJRSDA, IGI Global, US as well as the IJACI, IGI Global, US. She is an Editorial Board Member of the International Journal of Image Mining (IJIM), Inderscience.
- (It will be properly included - PDF attached)Big data approach for managing the information from genomics, proteomics, and wireless sensing in e-Health.- Aerial and Satellite imagery and big data: blending old technologies with new trends.- Structure and Dynamics of Many-Particle Systems: Big Data Sets and Data Analysis.- Earth Science [Big] Data Analytics.- Retrieval of Urban Surface Temperature using Remote Sensing Satellite Imagery.
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