Smart Data Intelligence
Language: English
Published by Springer, Springer Jul 2025, 2025
- Softcover
- New
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Add to basketItem description from seller
This item is printed on demand - Print on Demand Titel. Neuware -This book presents high-quality research papers presented at 4th International Conference on Smart Data Intelligence (ICSMDI 2024) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during February 2024. This book brings out the new advances and research results in the fields of algorithmic design, data analysis, and implementation on various real-time applications. It discusses many emerging related fields like big data, data science, artificial intelligence, machine learning, and deep learning which have deployed a paradigm shift in various data-driven approaches that tends to evolve new data-driven research opportunities in various influential domains like social networks, health care, information, and communication applications.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 692 pp. Englisch.
Seller Inventory # 9789819731930
- Title
- Smart Data Intelligence
- Author
- R. Asokan
- Publisher
- Springer, Springer Jul 2025
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 9819731933
- ISBN 13
- 9789819731930
- Item weight
- 1,156 grams
- Dimensions
- 235x155x35 mm
This book presents high-quality research papers presented at 4th International Conference on Smart Data Intelligence (ICSMDI 2024) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during February 2024. This book brings out the new advances and research results in the fields of algorithmic design, data analysis, and implementation on various real-time applications. It discusses many emerging related fields like big data, data science, artificial intelligence, machine learning, and deep learning which have deployed a paradigm shift in various data-driven approaches that tends to evolve new data-driven research opportunities in various influential domains like social networks, health care, information, and communication applications.
"Synopsis" may belong to another edition of this title.
About the Author
R. Asokan received his B.E. degree in electronics and communication from Bharathiar University and M.S. degree in electronics and control from Birla Institute of Technology. He obtained M.Tech. degree in electronics and communication from Pondicherry Engineering College, with distinction. He obtained Ph.D. in information and communication engineering from Anna University, Chennai. He is currently the principal, Kongunadu College of Engineering and Technology, Thottiyam, Tamil Nadu, India. He has published more than 65 papers in national and international journals and conferences. He has over 25 years of teaching experience. He is a member of various scientific and professional societies. His areas of interest include wireless networks, network security, and image processing.
Diego P. Ruiz received the M.S. and Ph.D. degrees in Physics from the University of Granada, Spain, in 1991 and 1995, respectively. He was a teacher in the University of Malaga in 1994–95, and he is currently an associate professor at the Faculty of Sciences of the University of Granada. He is also a coordinator of courses in the open training classroom of the University of Granada. He is interested and participates in several commissions and projects for the assessment of teaching quality and teaching innovation and collaborates in science dissemination activities through the Scientific Culture Unit of the University of Granada. His current research interests are environmental pollution and its modeling, especially acoustic and electromagnetic pollution, signal processing, and energy efficiency in buildings. His main contributions have been in the development of signal processing algorithms for the automatic classification of radar objects, analysis, and modeling of data coming from physical agents (noise and vibrations), development of indoor air quality indices, and new technologies for pollution control.
Selwyn Piramuthu is Professor of Information Systems at the University of Florida, where he has taught since Fall 1991. Trained in machine learning, his research interests also include cryptography with applications related to IoT/RFID, privacy/security, supply chain management, among others. His (co-authored with Wei Zhou) book titled, “RFID and Sensor Network Automation in the Food Industry” was published by Wiley in 2016. He received his B.Tech., M.S., and Ph.D. respectively from IIT Madras, University of Arizona, and University of Illinois at Urbana-Champaign.
"About the title" may belong to another edition of this title.
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