Physics

1. Dimitris A. Chalkias
2. Elias Stathatos

The Emergence of Agrivoltaics

This book assists in the adoption of the sustainable cross-sectoral nexus approach of agrivoltaics, which can provide a quite significant untapped potential for the sustainable development of humanity.

1. Thomas Brewer

Climate Change

Thomas Brewer is a member of the Emeritus Faculty of the Georgetown University School of Business, where he taught a course on energy and climate change issues in business. He has authored and co-authored numerous articles, chapters, and conference presentations related to climate change, black carbon, and emissions. He has been a consultant to the World Bank, the United Nations Conference on Trade and Development (UNCTAD), and the Organisation for Economic Cooperation and Development (OECD). He has been a visiting scholar at the MIT Center for Energy and Environmental Policy Research (CEEPR), a visiting senior research fellow at Oxford University in the Smith School for Enterprise and the Environment, and a Schöller Foundation senior research fellow at Friedrich-Alexander University in Nuremberg, Germany.

1. Michael S. , Zhdanov

Advanced Methods of Joint Inversion and Fusion of Multiphysics Data

Different physical or geophysical methods provide information about distinctive physical properties of the objects, e.g., rock formations and mineralization. In many cases, this information is mutually complementary, which makes it natural for consideration in a joint inversion of the multiphysics data. Inversion of the observed data for a particular experiment is subject to considerable uncertainty and ambiguity. One productive approach to reducing uncertainty is to invert several types of data jointly. Nonuniqueness can also be reduced by incorporating additional information derived from available a priori knowledge about the target to reduce the search space for the solution. This additional information can be incorporated in the form of a joint inversion of multiphysics data.Generally established joint inversion methods, however, are inadequate for incorporating typical physical or geological complexity. For example, analytic, empirical, or statistical correlations between different physical properties may exist for only part of the model, and their specific form may be unknown. Features or structures that are present in the data of one physical method may not be present in the data generated by another physical method or may not be equally resolvable.This book presents and illustrates several advanced, new approaches to joint inversion and data fusion, which do not require a priori knowledge of specific empirical or statistical relationships between the different model parameters or their attributes. These approaches include the following novel methods, among others: 1) the Gramian method, which enforces the correlation between different parameters; 2) joint total variation functional or joint focusing stabilizers, e.g., minimum support and minimum gradient support constraints; 3) data fusion employing a joint minimum entropy stabilizer, which yields the simplest multiphysics solution that fits the multi-modal data. In addition, the book describes the principles of using artificial intelligence (AI) in solving multiphysics inverse problems. The book also presents in detail both the mathematical principles of these advanced approaches to joint inversion of multiphysics data and successful case histories of regional-scale and deposit-scale geophysical studies to illustrate their indicated advantages.

Optimized Energy Management Strategies for Electric Vehicles

Parita Jain completed her Ph.D. Degree from Amity University, Noida, and M. M.Tech. (IT) from CDAC, Noida. Having vast teaching experience of approx. 14 years. Currently, she is working as an associate professor and assistant dean (academics and autonomous) in the Department of Computer Science and Engineering of the KIET Group of Institutions, Ghaziabad. Her research interests include Software Engineering, Machine Learning, Data Mining, and Mobile Computing. She has published more than 40 research papers in various international conferences and journals. Puneet Kumar Aggarwal completed his Ph.D. degree from Amity University, Noida, and his M.Tech. (IT) degree from CDAC, Noida. Having vast teaching experience of approx. 14 years. Currently, he is working as an associate professor in computer science and engineering-data science at ABES Engineering College, Ghaziabad. His research interests include Machine Learning, Internet of Things, Data Mining and Mobile Computing. He has published more than 45 research papers in various international conferences and journals. Mandeep Singh is an accomplished academician and Assistant Professor in the School of Computer Science, Engineering, and Technology (SCSET) at Bennett University, Greater Noida, India. He holds a Master’s degree with Distinction in Information Security from Ambedkar Institute of Advanced Communication Technologies and Research (AIACTR) (now NSUT East Campus). With over nine years of teaching experience, he is currently pursuing a Ph.D. in Computer Science & Engineering from Dr. B.R. Ambedkar National Institute of Technology (NIT) Jalandhar, where he completed his coursework with Distinction (8.00 CGPA). Mr. Singh's expertise spans Computer Networks, Mobile Ad Hoc Networks (MANETs), Machine Learning, and Deep Learning. His research contributions include book chapters, international journals, and conference proceedings, alongside a notable track record of patent publications. Some of his patents address cybersecurity in email communication, AI-powered agricultural robotics, and intelligent machine vision systems. Additionally, he actively reviews papers for international conferences and journals and has held special sessions at prestigious events, including the International Conference on Computing and Communication Networks (ICCCNet). His dedication to excellence has earned him awards and recognition from the Institute of Industrial Development (IID) and MSME, Government of India for contributions to research and entrepreneurship. Sushil Kumar Singh is an Associate Professor in the Department of Computer Engineering at Marwadi University, Rajkot, India. He received Ph.D. degree from Seoul National University of Science and Technology, Seoul, South Korea. He received M.Tech. Degree in Computer Science and Engineering from Uttarakhand Technical University, Dehradun, India. He also received an M.E. degree in Information Technology from Karnataka State University, Mysore, India. He has also been the lab leader of the UCS Lab at the Department of Computer Science Engineering, Seoul National University of Science and Technology, Seoul, South Korea. He has received the Best Lab Leadership Award from UCS Lab for 2019-2021. He has more than 12 years of experience teaching in the field of computer science. He has published Four Books: Computer C Programming, Cyber Security, Big Data Analytics, and Mobile Computing. He has also published many high-quality papers (Q1, Top 10% JCR Rank) in international journals and conferences. He has already delivered international lectures in many countries. His research interests include Blockchain, Artificial Intelligence, Big Data, Internet of Things, Smart City Security, and Cyber-Physical Systems. He is an Associate Editor in the HCIS (Human-centric Computation and Information Sciences) Journal and Editor in IGI Global Publication. He is a reviewer of the IEEE Wireless Communication Magazine, IEEE SYSTEMS, IEEE Internet of Things, FGCS, TETT, EXSY, JISA, Computer Network, MDPI, CIE, HCIS, JIPS, Computing (COMP), Multimedia Tools & Applications, and SCIS Journal. Shailendra Rathore is working as a Lecturer in Division of Cybersecurity at Abertay University, UK and has more than 2 years of working experience as a lecturer at universities based in UK. He is also an active member of the cyberQuarter team, which is a new £18m cybersecurity research and development center located at Abertay University. Prior to joining Abertay, he was a lecturer in cybersecurity at Plymouth University and was associated with the £3 million Research England-supported Cyber-SHIP Lab project. He received a Ph.D. degree from the Graduate School of Computer Science and Engineering at Seoul National University of Science and Technology, Seoul, South Korea. His broad research interests include Cybersecurity, Artificial Intelligence, Blockchain, and Machine Learning. Dr. Rathore has published his research outcomes in various top-tier international journals, including IEEE Communication Magazine, IEEE Network, IEEE Consumer Electronics, FGCS, Information Sciences, and IEEE Access. He has also served as a chair, program committee member or organizing committee chair for many international conferences and workshops, including IEEE and ACM events.

1. Vincent Peltier

Influence of Compressor Bleed Air System Components Interaction on Its Performance

Renewable Energy and the Economic Welfare of Society