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Neural Networks and Graph Models for Traffic and Energy Systems

Pankaj Bhambri Jose Anand

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Paperback

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English
IGI Global
21 February 2025
Neural networks and graph models play a transformative role in optimizing traffic and energy systems, offering advanced solutions for managing complex, interconnected infrastructures. Neural networks can predict traffic patterns, optimize routes, and improve the efficiency of energy distribution networks by learning from real-time data. Graph models help represent and analyze the relationships and flows within transportation and energy systems, enabling more accurate modeling of networks and their interactions. Together, these technologies allow for smarter traffic management, reduced congestion, and enhanced energy grid efficiency. As cities and industries continue to grow, integrating neural networks and graph models into traffic and energy systems is essential in creating sustainable, efficient, and resilient urban environments. Neural Networks and Graph Models for Traffic and Energy Systems explores the sophisticated techniques and practical uses of artificial intelligence in improving and overseeing traffic and energy networks. It examines the connection between neural networks and graph theory, showing how these technologies might transform the effectiveness, sustainability, and robustness of urban infrastructure. This book covers topics such as sustainable development, energy science, traffic systems, and is a useful resource for energy scientists, computer engineers, urban developers, academicians, and researchers.
Edited by:   ,
Imprint:   IGI Global
Country of Publication:   United States [Currently unable to ship to USA: see Shipping Info]
Dimensions:   Height: 254mm,  Width: 178mm, 
ISBN:   9798337302911
Pages:   476
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Pankaj Bhambri is affiliated with the Department of Information Technology at Guru Nanak Dev Engineering College in Ludhiana. Additionally, he fulfills the role of the Convener for his Departmental Board of Studies. He possesses nearly two decades of teaching experience. His research work has been published in esteemed worldwide and national journals, as well as conference proceedings. Dr. Bhambri has garnered extensive experience in the realm of academic publishing, having served as an editor for a multitude of books in collaboration with esteemed publishing houses such as CRC Press, Elsevier, Scrivener, and Bentham Science. In addition to his editorial roles, he has demonstrated his scholarly prowess by authoring numerous books and contributing chapters to distinguished publishers within the academic community. Dr. Bhambri has been honored with several prestigious accolades, including the ISTE Best Teacher Award in 2023 and 2022, the I2OR National Award in 2020, the Green ThinkerZ Top 100 International Distinguished Educators award in 2020, the I2OR Outstanding Educator Award in 2019, the SAA Distinguished Alumni Award in 2012, the CIPS Rashtriya Rattan Award in 2008, the LCHC Best Teacher Award in 2007, and numerous other commendations from various government and non-profit organizations. He has provided guidance and oversight for numerous research projects and dissertations at the postgraduate and Ph.D. levels. He successfully organized a diverse range of educational programmes, securing financial backing from esteemed institutions such as the AICTE, the TEQIP, among others. Dr. Bhambri’s areas of interest encompass machine learning, bioinformatics, wireless sensor networks, and network security. A. Jose Anand received his Diploma from the state board of Technical Education, Tamil Nadu in 1995, Bachelor of Engineering Degree from Institution of Engineers (INDIA), Calcutta in 2003, Master of Engineering in Embedded System Technologies from Anna University, Chennai in 2006, Master of Arts in Public Administration from Annamalai University in 2000 Master of Business Administration from Alagappa University in 2007, and Ph.D (Information and Communication Engineering) from Anna University in 2017. He received State 3rd Rank in Bachelor of Engineering. He is a Member of CSI, IEI, IET, IETE, ISTE, INS, QCFI and EWB. He has one year of industrial experience and twenty-three years of teaching experience. He presented several papers in National Conferences and International Conferences. He published several papers in National Journal and International Journal, and also published books for polytechnic & Engineering subjects. He is recognized as research supervisor from Anna University.

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