John Soldatos Primary Author mixed material bibliography Cham Springer Nature 2024 en English

Ebook

505 Halaman This open access book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state of the art flexible production lines including both cyber-physical production systems (Industry 4.0) and emerging trustworthy and human-centered manufacturing systems (Industry 5.0). From a technology perspective, the book addresses a wide range of AI paradigms such as deep learning, reinforcement learning, active learning, agent-based systems, explainable AI, industrial robots, and AI-based digital twins. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers’ training, supply chain management, as well as various production optimization scenarios. This is an open access book. Teknik Industri Ilmu Komputer Manufaktur Kecerdasan Buatan 670 9783031464522 Perpustakaan UMA Online Public Access Catalog (OPAC) 670 Joh a EB26000237 Perpustakaan Pusat UMA 670 Joh a Artificial Intelligence in Manufacturing 978-3-031-46452-2.pdf.jpg.jpg 23693 2026-09-03 10:42:05 2026-09-24 10:55:48 machine generated