Artificial Intelligence for System Oriented Design (Paperback)

Radek Silhavy

ISBN 10: 3031967976 / ISBN 13: 9783031967979

Published by Springer International Publishing AG, Cham, 2025

About this Item

Paperback. This book bridges theory and practice in modern computing, showcasing the latest research in systems design, software engineering, and innovative problem-solving. Across the book, contributors introduce fresh methods for modeling, testing, and optimization, while demonstrating how data-driven techniques and thoughtfully crafted architectures boost system reliability. By bringing together specialists from a wide range of fields, the proceedings foster meaningful collaboration and knowledge-sharing. Detailed case studies illuminate common hurdles and offer practical, evidence-based solutions, giving industry professionals, academic researchers, and students techniques they can immediately apply to real-world projects and future challenges. With its clear focus on forward progress, this collection serves as an essential guide to the next phase of computational development. Detailed case studies illuminate common hurdles and offer practical, evidence-based solutions, giving industry professionals, academic researchers, and students techniques they can immediately apply to real-world projects and future challenges. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9783031967979

Bibliographic Details

• Title: Artificial Intelligence for System Oriented Design (Paperback)
• Publisher: Springer International Publishing AG, Cham
• Publication Date: 2025
• Language: English
• ISBN 10: 3031967976
• ISBN 13: 9783031967979
• Binding: Paperback
• Condition: new

About this title

Synopsis

This book bridges theory and practice in modern computing, showcasing the latest research in systems design, software engineering, and innovative problem-solving. Across the book, contributors introduce fresh methods for modeling, testing, and optimization, while demonstrating how data-driven techniques and thoughtfully crafted architectures boost system reliability. By bringing together specialists from a wide range of fields, the proceedings foster meaningful collaboration and knowledge-sharing. Detailed case studies illuminate common hurdles and offer practical, evidence-based solutions, giving industry professionals, academic researchers, and students techniques they can immediately apply to real-world projects and future challenges. With its clear focus on forward progress, this collection serves as an essential guide to the next phase of computational development.