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Bio-Inspired Data-driven Distributed Energy in Robotics and Enabling Technologies
ISBN/GTIN

Bio-Inspired Data-driven Distributed Energy in Robotics and Enabling Technologies

LivreRelié
Classement des ventes 2822dans
CHF195.00

Description

This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure.

Détails

ISBN/GTIN978-1-032-64063-1
Type de produitLivre
ReliureRelié
Date de parution30.10.2024
Edition1. A.
SérieIntelligent Data-Driven Systems and Artificial Intelligence
LangueAnglais
DimensionsLargeur 156 mm, Hauteur 234 mm
IllustrationsFarb., s/w. Abb.
N° article50419678
CataloguesBuchzentrum
Source des données n°46540923
Plus de détails

Série

Auteur

Abhishek Kumar is currently working as Associate Professor, Chandigarh University, India and is doing Post-Doctoral Fellow in Ingenium Research Group Ingenium Research Group Lab, Universidad De Castilla- La Mancha, Ciudad Real, and Ciudad Real Spain.He has more than 170 publications in reputed, peer-reviewed National International Journals, Conferences.Hemant Kumar Saini is currently working as an Assistant Professor in the Computer Science & Engineering Department at Chandigarh University, Punjab, India. He had been honoured by Governor of Rajasthan for his research works in 2015. He is a TEQIP-III coordinator. Dr. Saini has delivered many expert talks in ATAL sponsored Faculty Development Programs and keynote talks in many National and International Conferences.Ashutosh Kumar Dubey is an Associate Professor in the Department of Computer Science at Chitkara University School of Engineering and Technology, situated in Himachal Pradesh, India. He is a Postdoctoral Fellow at the Ingenium Research Group Lab, Universidad de Castilla-La Mancha, Ciudad Real, Spain.Vicente García-Díaz is an Associate Professor in the Department of Computer Science at the University of Oviedo, Spain. He is a Software Engineer, PhD in Computer Science. He has a Master´s in Occupational Risk Prevention and the qualification of University Expert in Blockchain Application Development. He is part of the editorial and advisory board of several indexed journals and conferences and has been editor of several special issues in books and indexed journals. He has supervised 100+academic projects and published 100+ research papers in journals, conferences, and books. His teaching interests are primarily in the design and analysis of algorithms and the design of domain-specific languages. His current research interests include decision support systems, health informatics and eLearning.

Mot-clé