Innovations in VLSI, Signal Processing and Computational Technologies
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore Jan 2025, 2025
- Softcover
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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This item is printed on demand - it takes 3-4 days longer - Neuware -This volume comprises the select proceedings of the 2nd International Conference on Women Researchers in Electronics and Computing (WREC 2023). The content discusses novel contributions and the latest developments in signal/image processing, VLSI design, futuristic communication, and computational technologies. The contents include papers on signal processing for communications & networking, machine learning and deep learning for signal processing, human-computer interface, 5G/6G wireless technologies, green and energy efficient wireless networks, software-defined networking (SDN), optical communications and networks, mobility management and models, VLSI testing, ASIC/FPGA design, analog/digital and mixed signals ICs, biosensors and bioelectronics, knowledge engineering, 3D printing and scanning, computational intelligence, among others. This volume will be of immense interest to researchers in academia and industry working in electronics, communication, and signal processing. 612 pp. Englisch.…
Seller Inventory # 9789819970797
- Title
- Innovations in VLSI, Signal Processing and Computational Technologies
- Author
- Gayatri Mehta
- Publisher
- Springer Nature Singapore, Springer Nature Singapore Jan 2025
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 9819970792
- ISBN 13
- 9789819970797
- Item weight
- 1,025 grams
- Dimensions
- 235x155x31 mm
This volume comprises the select proceedings of the 2nd International Conference on Women Researchers in Electronics and Computing (WREC 2023). The content discusses novel contributions and the latest developments in signal/image processing, VLSI design, futuristic communication, and computational technologies. The contents include papers on signal processing for communications & networking, machine learning and deep learning for signal processing, human-computer interface, 5G/6G wireless technologies, green and energy efficient wireless networks, software-defined networking (SDN), optical communications and networks, mobility management and models, VLSI testing, ASIC/FPGA design, analog/digital and mixed signals ICs, biosensors and bioelectronics, knowledge engineering, 3D printing and scanning, computational intelligence, among others. This volume will be of immense interest to researchers in academia and industry working in electronics, communication, and signal processing.
"Synopsis" may belong to another edition of this title.
About the Author
Deepti Kakkar pursued her Bachelor of Technology in Electronics and Communication Engineering from Himachal Pradesh University, India in 2003 and her Masters of Engineering in Electronics Product Design and Technology from Punjab University, India. Dr. Kakkar obtained her Ph.D. in spectrum sensing in cognitive radios from Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, India. She has a total academic experience of 18 years and is currently an Associate professor in the Electronics and Communication department with Dr. B. R. Ambedkar National Institute of Technology. She has guided more than 50 postgraduate engineering dissertations and several projects. She is currently guiding 3 Ph.D. scholars and 1 Ph.D. has submitted under her guidance. She has more than 50 papers in various international journals and conferences.
Nilmini Wickramasinghe, as of August 1 2023, Professor Wickramasinghe is the Professor and Optus chair of Digital Health at La Trobe University within the School of Engineering. She also holds honorary research professor positions at the Peter MacCallum Cancer Centre, MCRI, Epworth HealthCare and Northern Health. After completing 5 degrees at the University of Melbourne, she completed PhD studies at Case Western Reserve University, and later executive education at Harvard Business School, USA in Value-based HealthCare. For over 20 years, she has been actively, researching and teaching within the health informatics/digital health domain with over 350 scholarly publications, a patent, 25 books, numerous posters and book chapters and a very successful grant funding portfolio. In 2020, she was awarded the prestigious Alexander von Humboldt award for her outstanding contribution to digital health.
"About the title" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
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