Advances in artificial intelligence applications in industrial and systems engineering / edited by Waldemar Karwowski, Vincent Duffy, Gavriel Salvendy.
Contributor(s): Salvendy, Gavriel [editor.] | Karwowski, Waldemar [editor.] | Duffy, Vincent G [editor]
Language: English Series: Advances in industrial and systems engineering ; book 1Publisher: Hoboken, New Jersey : John Wiley & Sons, Inc., [2025]Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781394257065; 9781394257096; 1394257090Subject(s): Artificial intelligence -- Industrial applications | Industrial engineering | Systems engineeringGenre/Form: Electronic books.DDC classification: 006.3 LOC classification: TA347.A78 | A3856 2025Online resources: Full text is available at Wiley Online Library. Click here to view. Summary: "This book focuses on the recent developments, challenges, risks, and promising applications of artificial intelligence (AI) systems and technologies to the broad field of industrial and systems engineering (ISE). Over the past five years, the field of AI has been rapidly growing in theory and applications. Responsible implementation of AI in industry necessitates intentional strategic planning, collaboration of various stakeholders, investment in human resources and infrastructure, and ongoing monitoring of AI integration. It also requires compliance with regulatory requirements and adherence to ethical guidelines and norms that align with societal values. The adoption and continued success of AI system applications in ISE are fraught with many challenges. These include issues related to data quality and access, gaps in talent and skills, explainability, integration with existing systems, change management, cost-effectiveness, regulatory and legal concerns, privacy and security, ethical considerations, and gaining trust and acceptance. Chapter 1 introduces the AI concepts and techniques and discusses the benefits of their potential applications in ISE. Chapter 2 explores the applications of autonomous systems and intelligent agents in ISE. Chapter 3 examines the applications of natural language processing (NLP) in selected applications in ISE. Chapter 4 covers the applications of AI in smart manufacturing and robotics. Chapter 5 provides an overview of the applications of AI in healthcare. Chapter 6 outlines the applications of AI to ensure security for ISE systems. Chapter 7 discusses the applications of AI in the defense sector. Chapter 8 focuses on the applications of AI in systems engineering and management. Chapter 9 explains how machine learning can assist in forecasting the cryptocurrency markets. Chapter 10 describes recent applications of AI in the field of civil aviation. Chapter 11 assesses the benefits and challenges of using AI for personalized learning and education. Chapter 12 explains the process of securing AI systems in the era of large language models. Chapter 13 outlines the responsible applications of AI for social good. Finally, Chapter 14 projects future directions of AI applications in ISE."-- Provided by publisher.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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COLLEGE LIBRARY | COLLEGE LIBRARY | 006.3 Ad955 2025 (Browse shelf) | Available (In Process) |
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Includes index.
"This book focuses on the recent developments, challenges, risks, and promising applications of artificial intelligence (AI) systems and technologies to the broad field of industrial and systems engineering (ISE). Over the past five years, the field of AI has been rapidly growing in theory and applications. Responsible implementation of AI in industry necessitates intentional strategic planning, collaboration of various stakeholders, investment in human resources and infrastructure, and ongoing monitoring of AI integration. It also requires compliance with regulatory requirements and adherence to ethical guidelines and norms that align with societal values. The adoption and continued success of AI system applications in ISE are fraught with many challenges. These include issues related to data quality and access, gaps in talent and skills, explainability, integration with existing systems, change management, cost-effectiveness, regulatory and legal concerns, privacy and security, ethical considerations, and gaining trust and acceptance. Chapter 1 introduces the AI concepts and techniques and discusses the benefits of their potential applications in ISE. Chapter 2 explores the applications of autonomous systems and intelligent agents in ISE. Chapter 3 examines the applications of natural language processing (NLP) in selected applications in ISE. Chapter 4 covers the applications of AI in smart manufacturing and robotics. Chapter 5 provides an overview of the applications of AI in healthcare. Chapter 6 outlines the applications of AI to ensure security for ISE systems. Chapter 7 discusses the applications of AI in the defense sector. Chapter 8 focuses on the applications of AI in systems engineering and management. Chapter 9 explains how machine learning can assist in forecasting the cryptocurrency markets. Chapter 10 describes recent applications of AI in the field of civil aviation. Chapter 11 assesses the benefits and challenges of using AI for personalized learning and education. Chapter 12 explains the process of securing AI systems in the era of large language models. Chapter 13 outlines the responsible applications of AI for social good. Finally, Chapter 14 projects future directions of AI applications in ISE."-- Provided by publisher.
Description based on online resource; title from digital title page (viewed on August 21, 2025).
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