This book explores the latest advancements in computational techniques and communication technologies that address engineering challenges. The focus is on leveraging modern algorithms, such as machine learning, optimization, and signal processing, alongside communication methods like 5G, IoT, and edge computing, to enhance system efficiency and decision-making.
The book is organized into distinct sections, each dedicated to a key topic in communication and computational theory and algorithms. The authors present advanced optimization methods that transform how engineers tackle complex challenges, enabling them to find solutions with greater speed and efficiency. The book highlights the transformative role of artificial intelligence and machine learning in engineering applications, showcasing how intelligent systems are revolutionizing various industries. It explores the potential of algorithms in performance optimization and intelligent decision-making, offering readers insights into technologies such as pattern recognition, data mining, deep learning, and neural networks.
Key techniques and tools from data science and big data analytics are also examined, demonstrating how vast datasets can yield actionable insights. Through topics like data visualization, predictive modeling, clustering, and anomaly detection, the book illustrates how algorithms uncover patterns and trends that empower engineers to make informed decisions. The book delves into numerical techniques, finite element analysis, computational fluid dynamics, and other simulation methods, emphasizing their impact on improving engineering system design and performance.
This book serves as a vital resource for researchers, engineers, and students eager to expand their expertise in this rapidly evolving domain. Its comprehensive coverage and diverse topics inspire readers to push the boundaries of computational theory and algorithms, fostering further innovation. Through its focus on practical applications and theoretical advancements, the book provides readers with a deeper understanding of how algorithms and computational theory are reshaping engineering landscapes, unlocking new possibilities, and driving industrial transformation.
About the Author :
Dr. Sanjeev Kumar did his Ph.D. from Department of Electronics and Communication Engineering, Jaypee University of Engineering & Technology, Guna, Madhya Pradesh, in year 2019 with the specialization in MIMO antenna with ML and M.Tech. in 2012 from University of Delhi with specialization in RF device. He has completed his graduation in 2009 with bachelor of technology degree in electronics and communication engineering from RGPV, Bhopal. He has more than 11 years of teaching and research experience for UG and PG courses of ECE and computer science engineering. He has more than 75 research papers published in reputed international journals and conferences with a citation more than 580. He is the reviewer of various peer-reviewed journals. His current research interests include biomedical antenna design for wearable applications using machine learning. He has organized and attended many workshops, seminars, FDP, and national and international conferences in India.
Dr. Mahesh Kumar Singh did his Ph.D. from Department of Electronics and Communication Engineering, Jaypee University of Engineering & Technology, Guna, Madhya Pradesh, in year 2020 with the specialization in speech signal processing using machine learning and M.Tech. in 2011 from Jaypee University of Engineering & Technology, Guna, with specialization in digital signal processing. He has completed his graduation in 2009 with bachelor of technology degree in electronics and communication engineering from Uttar Pradesh Technical University, Lucknow, Uttar Pradesh. He has more than 12 years of teaching and research experience for UG and PG courses of ECE and computer science engineering. He is an active researcher in the field of speech and image signal processing using machine learning. He has more than 60 research papers published in reputed international journals and conferences with a citation more than 700. He is the reviewer of various peer-reviewed journals.
