Applied Artificial Intelligence (ePub)
A Biomedical Perspective
(Sprache: Englisch)
This book explores the advancements and future challenges in biomedical application developments using breakthrough technologies like AI, IoT, and Signal Processing. It will also contribute to biosensors, MEMS, and related research.
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This book explores the advancements and future challenges in biomedical application developments using breakthrough technologies like AI, IoT, and Signal Processing. It will also contribute to biosensors, MEMS, and related research.
Autoren-Porträt
Dr. Swati V. Shinde has a Ph.D. in Computer Science and Engineering, from Swami Ramanand Teerth Marathwada University, Nanded. She has 20 years of teaching experience and is currently working as a Professor at Pimpri Chinchwad College of Engineering (PCCoE), Pune. She has worked as a HOD-IT for seven years in PCCoE. Her research interests include Machine Learning, Deep Learning, Soft Computing, Artificial Neural Network, and Fuzzy Logic.Dr. Varsha Bendre received a Bachelor's degree in Electronics and Telecommunication Engineering from Saint Gadge Baba Amravati University, Amravati, and M.E degree from Savitribai Phule Pune University in 2000 and 2010 respectively. She completed a Ph.D. in the area of Nanotechnology and Low Power VLSI from Savitribai Phule Pune University, Pune, and Maharashtra, India in Jan 2020. Her research work is focused on analog circuit design at very deep submicron technology using Carbon Nanotube Field-Effect Transistors.
Dr. D. Jude Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006, and Ph.D. from Karunya University in 2013. His research areas include Computational Intelligence and Image processing.
Dr. MA Balafar completed his Ph.D. in IT from UPM, Malaysia. He has 16 years of teaching experience and is working as an Assistant Professor at the University of Tabriz, Iran. His research interests are AI, computer vision, Fuzzy Logic, Deep Learning, Machine Learning, and information security.
Bibliographische Angaben
- 2023, 1. Auflage, 410 Seiten, Englisch
- Herausgegeben: Swati V. Shinde, Varsha Bendre, D. Jude Hemanth, M. A. Balafar
- Verlag: Taylor & Francis
- ISBN-10: 100089620X
- ISBN-13: 9781000896206
- Erscheinungsdatum: 29.09.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 14 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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