Applied MATLAB
Autor Komal Mishra, Keshav Kumaren Limba Engleză Paperback – 28 mar 2027
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Specificații
Ilustrații: Approx. 300 p.
Dimensiuni: 155 x 235 mm
Ediția:First Edition
Editura: APRESS L.P.
Colecția Apress
Notă biografică
Dr. Komal Mishrais an Artificial Intelligence and Machine Learning specialist, researcher, and scholar specializing in deep learning, image processing, data analytics, machine learning, and artificial intelligence. Currently, she is associated with Chandigarh University, Punjab, India where she is actively engaged in teaching, research, and curriculum development. Having been in the academic field for more than 12 years, she has taught computer applications and science to both undergraduate and postgraduate students. Dr. Mishra has published several research papers in various IEEE conferences and international journals. Her research interests lie in the application of AI techniques and real-world problem solving using modern computational approaches. She has supervised a number of student projects and research works which were market-oriented or covered trends in the academic field. Her areas of expertise are deep learning, image processing, data analytics, machine learning, and MATLAB-based computing. She has been a teacher of Python programming, data structures, artificial intelligence, machine learning, and MATLAB.
Keshav Kumar is pursuing his PhD in Hardware Security from Lingaya's Vidyapeeth (university), Faridabad, Haryana, India and is also working as an Assistant Professor in the Department of Electronics and Communication Engineering, Pranveer Singh Institute of Technology Kanpur, India. He also has worked with Cha University, Punjab, India (NIRF 29). He has completed his Master of Engineering in ECE with a specialization in Hardware Security from Chitkara University, Punjab, India. He has also worked as a JRF with NIT Patna and as an Assistant Lecturer at Chitkara University, Punjab, India. Keshav has authored and co-authored three books with CRC Press and Taylor & Francis, and another book with Nova Science. He has written more than 45 research papers in the fields of hardware security, green communication, low-power VLSI design, machine learning techniques, and IoT. He also has worked with professors from 20 countries. His areas of specialization include deep learning, hardware security, green communication, low-power VLSI design, machine learning techniques, WSN, and IoT. Keshav has experience teaching Python programming, embedded systems, IoT, computer networks, and digital electronics. He is also associated with Gyancity Research Consultancy Pvt Ltd. He is a member of IAENG. And he has approximatey 600 citations (Google Scholar), 14 H-index (Google Scholar), and 11 H-Index (Scopus).