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.
| ISBN: | 9783032139641 |
| Publication date: | 27th June 2026 |
| Author: | Sanjeev Kumar, Mahesh Kumar Singh |
| Publisher: | Springer an imprint of Springer Nature Switzerland |
| Format: | Hardback |
| Pagination: | 429 pages |
| Series: | Advances in Science, Technology & Innovation |
| Genres: |
Computer networking and communications Machine learning Society and culture: general |
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.
Recent Developments in Communication and Computational Algorithms for Engineering Application features in the following genres: Computer networking and communications, Machine learning, Society and culture: general
Recent Developments in Communication and Computational Algorithms for Engineering Application is available in Hardback
Recent Developments in Communication and Computational Algorithms for Engineering Application was written by Sanjeev Kumar, Mahesh Kumar Singh and published by Springer an imprint of Springer Nature Switzerland
Recent Developments in Communication and Computational Algorithms for Engineering Application has 429 pages
Yes it is part of Advances in Science, Technology & Innovation series
£197.99