Paperback. The integration of machine learning, predictive analytics, and optimization techniques revolutionizes the understanding and management of complex systems. From supply chains and energy grids to healthcare and financial markets, these systems are characterized by dynamic interactions, uncertainty, and large data amounts. Machine learning enables insights into data patterns, analytics predict future behaviors, and optimization methods guide decision-making. When combined, these tools offer solutions for enhancing system performance, resilience, and adaptability. As complexity grows, their collaboration becomes vital for creating intelligent, responsive, and sustainable systems. Machine Learning, Predictive Analytics, and Optimization in Complex Systems examines the integration of intelligent technologies into system design and management, and data analysis. It explores strategies for data-informed decisions, intelligent technology utilization, and security optimization. This book covers topics such as computer engineering, smart ecosystems, and system design, and is a useful resource for computer engineers, data analysts, academicians, researchers, and scientists. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Bibliographic Details

Title: Machine Learning, Predictive Analytics, and Optimization in Complex Systems (Paperback)
Publisher: IGI Global, Hershey
Publication Date: 2025
Language: English
ISBN 13: 9798337352046
Binding: Paperback
Condition: new

About this title

Synopsis

The integration of machine learning, predictive analytics, and optimization techniques revolutionizes the understanding and management of complex systems. From supply chains and energy grids to healthcare and financial markets, these systems are characterized by dynamic interactions, uncertainty, and large data amounts. Machine learning enables insights into data patterns, analytics predict future behaviors, and optimization methods guide decision-making. When combined, these tools offer solutions for enhancing system performance, resilience, and adaptability. As complexity grows, their collaboration becomes vital for creating intelligent, responsive, and sustainable systems. Machine Learning, Predictive Analytics, and Optimization in Complex Systems examines the integration of intelligent technologies into system design and management, and data analysis. It explores strategies for data-informed decisions, intelligent technology utilization, and security optimization. This book covers topics such as computer engineering, smart ecosystems, and system design, and is a useful resource for computer engineers, data analysts, academicians, researchers, and scientists.

About the Authors

Dr Ferdin Joe John Joseph is currently an Assistant Professor with the faculty of information technology, Thai Nichi Institute of technology Bangkok. He graduated his bachelor and masters degrees in computer science and engineering from Anna University Chennai during 2009 and 2011 respectively. He got his PhD in Computer Science and Information Systems from the National Institute of Development Administration Bangkok during 2015. His area of research includes deep learning, IoT and Blockchain technology. He has nearly a decade experience in teaching. He has published in peer reviewed international conferences and journals. He is certified as the "Most Valuable Professional" (MVP) with Alibaba Cloud since 2021. He is teaching as per academic curriculum to students, recognizing, nurturing the creative potential of each student. Teach students using a systematic instructional methodology comprising lecture plans (following the credit allotted to each subject), discussion groups, seminars, case studies, field assignments, and independent and/or group projects. Recently, he has been the technique program committee, the technique reviews, and the track chair for international conferences published by Springer Series. He is serving in the editor in chief, the editorial board of international journals, and he authored/edited different books and filed so many Patents. Finally, he is a member of ISTE, IET, Etc…

Prof. Karthikeyan Chinnusamy , Sr Principal with more than 25 years of experience in IT, Product Dev, R&D and Education fields. Fellow IETE, Fellow IE, Sr Member IEEE,Sr Member ACM, Project management Institute (PMI), Reviewer, Editorial Board Member of R&D Journals. Board Member & Program Director SF DAMA. SME in Data Governance, GDPR, HIPAA Compliance, Data Management, Data Architecture, Master Data, Data Quality, AI/ML, Analytics and reporting in Payment processing, Customer, Finance, CRM and License domains. Mentor in SFDC Mig, Data.com, ERP, Architecture, R&D, Embedded systems, VLSI,Adv Information processing. I am also reviewer for IEEE Silicon Valley Sr Member Elevation and Speaker, Volunteer for SFBay ACM. Reviewer of Journals in Springer Nature.

Dr. Joseph Jeganathan earned his Ph.D. in Psychiatric Nursing from Rajiv Gandhi University of Health Sciences, National Consortium for Ph.D. Nursing, (Indian Nursing Council), Bangalore, Karnataka, India in 2019. He completed his Postgraduate studies at the National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India 2011. He is working as an assistant professor in the Mental Health Nursing Department at the University of Bahrain, Kingdom of Bahrain. He has more than 16 years of Undergraduate and Postgraduate teaching experience. He has worked as a Professor at SGT University, Gurugram, Dept. of Nursing, IES University, Bhopal; Associate Professor Akal College of Nursing, Eternal University, Baru Sahib, India; and also worked as a teaching faculty in various nursing colleges in India and Nepal. Dr. Joseph Jeganathan has published many research articles in National and international Nursing Journals. His areas of research interest are Adolescent mental health, Life skills training, and Substance use disorders.

Ahmed J. Obaid , is a full assistant professor at the Department of Computer Science, Faculty of Computer Science and Mathematics, University of Kufa, He received his BSC in Information Systems (IS) in 2005, from faculty of computer science, University of Anbar in 2005. M.Tech in Computer Science and Engineering from SIT, JNTUH, India in 2012, and PhD in Web Mining and Data Mining from University of Babylon in 2017. His main line of research is Web mining Techniques and Application, Image processing in the Web Platforms, Image processing, Genetic Algorithm and information theory. Ahmed J. Obaid, is an Associated Editor in Brazilian Journal of Operations & Production Management (ESCI), Guest Editor in KEM (Key Engineering Material, Scopus) Journal, Guest Editor of MAICT-19 and ICMAICT-20 issues in IOP journal of Physics, Scopus indexed proceeding. Guest Editor in JESTEC journal (Scopus, WOS) Journal, Managing Editor in American Journal of Business and Operations Research (AJBOR), USA. Associate Editor in IJAST Scopus Journal. Ahmed J. Obaid also Reviewer in many Scopus Journals (Scientific publication, Taylor and Francis, ESTA, and many others). He is leader of ICPAS, MAICT-19, MAICT-20, IHICPS, IICPS Conferences. Ahmed J. Obaid has supervised several final projects of Bachelor and Master in His main line of work. He has edited Some books, such as Advance Material Science and Engineering (ISBN: 9783035736779, Scientific.net publisher), Computational Intelligence Techniques for Combating COVID-19, A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems. He has authored and co-authored several scientific publications in journals and conferences and is a frequent reviewer of international journals and international conferences.

S. Suman Rajest is the Dean of Research and Development (R&D) and International Student Affairs (ISA) at Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India. He is an Editor in Chief of the International Journal of Human Computing Studies and The International Journal of Social Sciences World, He is the Chief Executive Editor of the International Journal of Advanced Engineering Research and Science, International Journal of Advanced Engineering, Management and Science, The International Journal of Health and Medicines, The International Journal of Management Economy and Accounting Fields and The International Journal of Technology Information and Computer and also he is an Editorial Board Member in International Journal of Management in Education, Scopus, Inderscience, EAI Endorsed Transactions on e-Learning, and Bulletin of the Karaganda university Pedagogy series. He is also a Book Series Editor at IGI Global Publisher, Springer, etc. All of his writing, including his research, involves elements of creative nonfiction in the Human Computing learning system. He is also interested in creative writing and digital media, Learning, AI, student health learning, etc. He has published 400 papers in peer-reviewed international journals. He has authored and co-authored several scientific book publications in journals and conferences and is a frequent reviewer of international journals and conferences. He also reviews Inderscience, EAI Journals, IGI Global, Science Publications, etc.

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