Models and Methods for Systems Engineering
Series: Studies in Big Data; 165;
- Publisher's listprice EUR 213.99
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90 774 Ft (86 451 Ft + 5% VAT)
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90 774 Ft
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Product details:
- Edition number 2025
- Publisher Springer
- Date of Publication 30 May 2025
- Number of Volumes 1 pieces, Book
- ISBN 9783031764394
- Binding Hardback
- No. of pages391 pages
- Size 235x155 mm
- Language English
- Illustrations 41 Illustrations, black & white; 110 Illustrations, color 700
Categories
Short description:
This book compiles high-quality research contributions from leading experts, providing both theoretical foundations and practical methodologies that are shaping the future of engineering systems. In an era where technological innovation drives every industry, this book offers a comprehensive exploration of cutting-edge approaches in systems optimization, artificial intelligence, and digital transformation.
Divided into three distinct sections?Advanced Technologies in Control, Optimization, and Communication Systems; Artificial Intelligence, Machine Learning, and Cybersecurity; and Human-Computer Interaction, Digital Transformation, and Future Internet Technologies?this book covers a wide range of topics essential for today?s engineers and researchers. From the latest advancements in spacecraft orbit control and energy-efficient IoT data management to groundbreaking work in medical diagnostics using AI, the book delivers a diverse array of applications across industries.
This book is an invaluable resource for scientists, engineers, IT specialists, and students seeking to understand the complexities and opportunities in modern systems engineering. Whether you are a researcher looking for state-of-the-art techniques or a professional seeking practical solutions for engineering challenges, this book is designed to equip you with the tools and knowledge to succeed in a rapidly evolving field.
Discover how the latest models and methods in systems engineering are reshaping technology and driving innovation across industries.
This essential guide is perfect for professionals in fields such as computational intelligence, control engineering, artificial intelligence, signal processing, and digital transformation. It also serves as a robust reference for academic researchers, and students involved in engineering and applied science disciplines.
MoreLong description:
This book compiles high-quality research contributions from leading experts, providing both theoretical foundations and practical methodologies that are shaping the future of engineering systems. In an era where technological innovation drives every industry, this book offers a comprehensive exploration of cutting-edge approaches in systems optimization, artificial intelligence, and digital transformation.
Divided into three distinct sections?Advanced Technologies in Control, Optimization, and Communication Systems; Artificial Intelligence, Machine Learning, and Cybersecurity; and Human-Computer Interaction, Digital Transformation, and Future Internet Technologies?this book covers a wide range of topics essential for today?s engineers and researchers. From the latest advancements in spacecraft orbit control and energy-efficient IoT data management to groundbreaking work in medical diagnostics using AI, the book delivers a diverse array of applications across industries.
This book is an invaluable resource for scientists, engineers, IT specialists, and students seeking to understand the complexities and opportunities in modern systems engineering. Whether you are a researcher looking for state-of-the-art techniques or a professional seeking practical solutions for engineering challenges, this book is designed to equip you with the tools and knowledge to succeed in a rapidly evolving field.
Discover how the latest models and methods in systems engineering are reshaping technology and driving innovation across industries.
This essential guide is perfect for professionals in fields such as computational intelligence, control engineering, artificial intelligence, signal processing, and digital transformation. It also serves as a robust reference for academic researchers, and students involved in engineering and applied science disciplines.
MoreTable of Contents:
Logarithmic Manifold Based Adaptive Orbit Control of Spacecraft Around Asteroids.- An Optimization Method for Designing Analog Frequency Sampling Filters.- MTPA Strategy for Induction Machine Predictive Control.- Local Search Algorithms for a Railway Scheduling Problem Under Maintenance and Cost Criteria.- Improving the Spectral Efficiency in the MIMO OFDM System for Optical Wireless Communications.
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