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.

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Detalles bibliogr�ficos

T�tulo

Artificial Intelligence for System Oriented Design (Paperback)

Editor

Springer International Publishing AG, Cham

Fecha de publicaci�n

2025

Idioma

Ingl�s

ISBN 10

3031967976

ISBN 13

9783031967979

Encuadernaci�n

Paperback

Estado

new

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Sinopsis

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.

De la contraportada

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.

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