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Judul Artificial Intelligence and Control Systems for Industry 4.0 and 5.0 / Filipe Pereira
Pengarang Filipe Pereira
Paulo Leitao
Penerbitan 4052 Basel, Switzerland : MDPI, 2026
Deskripsi Fisik 228 :ill
ISBN 978-3-7258-8870-2
Subjek Computer Science & Mathematics; Engineering; Artificial intelligence — Industrial applications
Catatan "Summary Artificial Intelligence and advanced control technologies are reshaping industrial systems, enabling higher levels of autonomy, efficiency, sustainability, and human-centered manufacturing. This Reprint presents recent research contributions addressing key challenges and emerging trends associated with Industry 4.0 and the transition towards Industry 5.0. The published works cover topics including artificial intelligence, machine learning, deep learning, industrial automation, intelligent control, digital twins, Industrial Internet of Things, robotics, smart manufacturing, cybersecurity, and data-driven decision making. Collectively, these contributions highlight current technological advances while identifying existing research gaps and future opportunities for academia and industry. This Reprint serves as a valuable reference for researchers, engineers, practitioners, and graduate students working on next-generation intelligent industrial systems."
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Lokasi Akses Online https://www.mdpi.com/books/reprint/13529-artificial-intelligence-and-control-systems-for-industry-4-0-and-5-0

 
No Barcode No. Panggil Akses Lokasi Ketersediaan
450126192 006.3 Fil a Baca Online Perpustakaan Pusat - Online Resources
Ebook
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300 # # $a 228 : $b ill
505 # # $a "Summary Artificial Intelligence and advanced control technologies are reshaping industrial systems, enabling higher levels of autonomy, efficiency, sustainability, and human-centered manufacturing. This Reprint presents recent research contributions addressing key challenges and emerging trends associated with Industry 4.0 and the transition towards Industry 5.0. The published works cover topics including artificial intelligence, machine learning, deep learning, industrial automation, intelligent control, digital twins, Industrial Internet of Things, robotics, smart manufacturing, cybersecurity, and data-driven decision making. Collectively, these contributions highlight current technological advances while identifying existing research gaps and future opportunities for academia and industry. This Reprint serves as a valuable reference for researchers, engineers, practitioners, and graduate students working on next-generation intelligent industrial systems."
650 # # $a Computer Science & Mathematics; Engineering; Artificial intelligence — Industrial applications
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