Overview

A smart city utilizes ICT technologies to improve the working effectiveness, share various data with the citizens, and enhance political assistance and societal wellbeing. The fundamental needs of a smart and sustainable city are utilizing smart technology for enhancing municipal activities, expanding monetary development, and improving citizens' standards of living. Data-Driven Mathematical Modeling in Smart Cities discusses new mathematical models in smart and sustainable cities using big data, visualization tools in mathematical modeling, machine learning-based mathematical modeling, and more. It further delves into privacy and ethics in data analysis. Covering topics such as deep learning, optimization-based data science, and smart city automation, this premier reference source is an excellent resource for mathematicians, statisticians, computer scientists, civil engineers, government officials, students and educators of higher education, librarians, researchers, and academicians.

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9781668464090

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Sabyasachi Pramanik is a Professional IEEE member. He obtained a Ph.D. in Computer Science and Engineering from the Sri Satya Sai University of Technology and Medical Sciences, Bhopal, India. Presently, he is an Assistant Professor, Department of Computer Science and Engineering, Haldia Institute of Technology, India. He has many publications in various reputed international conferences, journals, and online book chapter contributions (Indexed by SCIE, Scopus, ESCI, etc.). He is doing research in the field of Artificial Intelligence, Data Privacy, IoT, Network Security, and Machine Learning. He is also serving as the editorial board member of many international journals. He is a reviewer of journal articles from IEEE, Springer, Elsevier, Inderscience, IET, and IGI Global. He has reviewed many conference papers, has been a keynote speaker, session chair and has been a technical program committee member in many international conferences. He has authored a book on Wireless Sensor Network. Currently, he is editing 6 books from IGI Global, CRC Press, EAI/Springer and Scrivener-Wiley Publications. K. Martin Sagayam received his PhD in Electronics and Communication Engineering (Signal image processing using machine learning algorithms) from Karunya University. He received Master of Engineering in Communication Systems from Anna University, Chennai and received Bachelor of Enigeering in Electronics and Communication Engineering from Anna University. Currently, he is working as Assistant Professor in the Department of ECE, Karunya Institute Technology and Sciences, Coimbatore, India. He has authored/ co-authored more than 30 referred International Journals. He has also presented more than 20 papers in reputed international and national conferences. He has authored 10 book chapters with reputed international publishers like Elsevier, Springer, IGI Global and CRC press. He has editor in the reputed book and book series with reputed international publishers like IGI Global, and CRC Press. He has reviewed research articles from the journal of Signal, Image and Video Processing, Intelligent Decision Technologies, International Journal of Engineering Research & Technology, Pattern analysis and its applications and Informing Science Institute. He is an active member of professional bodies such as Engineering and Scientific Research Groups, International Society of Promising Computer Engineers, Copernicus, Scientific Engineering Research Corporation, International Association of Computer Science and Information Technology, International Association of Engineers, Indian Society of Electronics and Communication Engineering and Orcid. His area of interest includes Communication systems, signal and image processing, machine learning and virtual reality.

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