Produktbild: Generative Adversarial Networks for Image-to-Image Translati
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.06.2021

Herausgeber

Arun Solanki + weitere

Verlag

Elsevier Science & Technology

Seitenzahl

444

Maße (L/B/H)

19,2/23,3/2,5 cm

Gewicht

450 g

Sprache

Englisch

ISBN

978-0-12-823519-5

Beschreibung

Portrait

Dr. Arun Solanki is Assistant Professor in the Department of Computer Science and Engineering, Gautam Buddha University, Greater Noida, India. He received his Ph.D. in Computer Science and Engineering from Gautam Buddha University. He has supervised more than 60 M.Tech. Dissertations under his guidance. His research interests span Expert System, Machine Learning, and Search Engines. Dr. Solanki is an Associate Editor of the
International Journal of Web-Based Learning and Teaching Technologies from IGI Global. He has been a Guest Editor for special issues of Recent Patents on Computer Science, from Bentham Science Publishers. Dr. Solanki is the editor of the books Green Building Management and Smart Automation and Handbook of Emerging Trends and Applications of Machine Learning, both from IGI Global.

Dr. Anand Nayyar received his Ph.D (Computer Science) from Desh Bhagat University in 2017 in Wireless Sensor Networks and Swarm Intelligence. He is currently working in Graduate School, Faculty of Information Technology- Duy Tan University, Vietnam. He has published numerous research papers in various high-impact journals and holds 10 Australian patents and 1 Indian Design to his credit in the area of Wireless Communications, Artificial Intelligence, IoT and Image Processing.

Dr. Mohd Naved is an Associate Professor at Jaipuria Institute of Management in Noida, India, with over a decade of experience in Business Analytics, Data Science, and Artificial Intelligence. His research focuses on the applications of business analytics, data science, and artificial intelligence across various industries.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.06.2021

Herausgeber

Verlag

Elsevier Science & Technology

Seitenzahl

444

Maße (L/B/H)

19,2/23,3/2,5 cm

Gewicht

450 g

Sprache

Englisch

ISBN

978-0-12-823519-5

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