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  • Produktbild: Artificial Intelligence and Machine Learning in Smart City P
  • Produktbild: Artificial Intelligence and Machine Learning in Smart City P

Artificial Intelligence and Machine Learning in Smart City P

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.01.2023

Herausgeber

Vedik Basetti + weitere

Verlag

Elsevier Science & Technology

Seitenzahl

362

Maße (L/B/H)

22,9/15,2/1,9 cm

Gewicht

485 g

Sprache

Englisch

ISBN

978-0-323-99503-0

Beschreibung

Portrait

Vedik Basetti earned his PhD degree from the National Institute of Technology, Hamirpur, India, in 2016. Dr. B. Vedik joined the Department of Electrical and Electronics Engineering, SR University, Warangal, T.S., India, as faculty in 2016, where presently he is working as Associate Professor. His research work has been published in various reputed international journals and international conferences. His research interest includes soft computing techniques, smart grid, smart transmission system, and power system state estimation. Dr. B. Vedik is an IEEE member and a professional member of ACM.Chandan Kumar Shiva has completed his BTech in electrical and electronics engineering from Ran Vijay Singh College of Engineering & Technology, Jamshedpur, India. He holds a PhD from the Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India. At present, he is Assistant Professor in the Department of Electrical and Electronics Engineering at SR University, Warangal, India. His field of interest comprises artificial intelligent techniques, smart grid, automatic generation control, and power system optimization.Mohan Rao Ungarala is a lecturer in the Department of Applied Sciences at Université du Québec à Chicoutimi (UQAC), Québec, Canada. Since 2018, he is also a postdoctoral researcher at UQAC with the Research Chair on the Aging of Power Network Infrastructure. Dr. Mohan is a senior member of the IEEE and a member of the IEEE DEIS. Since 2019, he is an active member of the IEEE DEIS Technical Committee on "Liquid Dielectrics”, and led an IEEE International Study Group on "Pre-breakdown in Ester Liquids”. His main research interests include aging phenomena of high-voltage insulation, condition monitoring of electrical apparatus, alternative dielectric materials, transformer insulation in cold countries, and AIML applications.Shriram S. Rangarajan is Associate Professor at SR University, Warangal, India. His industrial and R&D experience includes working as Test Engineer at M.S. Kennedy Corporation in New York, Research Associate and Planning Engineer at London Hydro Inc. in Canada, Global Research Consultant at General Electric in Bangalore, and Research Assistant at Duke Energy eGrid-Clemson University Restoration Institute in United States.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.01.2023

Herausgeber

Verlag

Elsevier Science & Technology

Seitenzahl

362

Maße (L/B/H)

22,9/15,2/1,9 cm

Gewicht

485 g

Sprache

Englisch

ISBN

978-0-323-99503-0

EU-Ansprechpartner

Elsevier B.V.
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1043 NX Amsterdam
NL
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Herstelleradresse

Elsevier Science & Technology
London Wall 125
EC2Y 5AS London
GB
tradeorders@elsevier.com

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  • Produktbild: Artificial Intelligence and Machine Learning in Smart City P
  • Produktbild: Artificial Intelligence and Machine Learning in Smart City P
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