
| Judul | Artificial Intelligence and Control Systems for Industry 4.0 and 5.0 / Filipe Pereira and Paulo Leitao |
| Pengarang | Pereira, Filipe Leitao,Paulo |
| Penerbitan | Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute, 2026 |
| Deskripsi Fisik | 230 :ilus ;25 cm |
| ISBN | 978-3-7258-8870-2 |
| Subjek | ARTIFICIAL INTELLIGENCE |
| Catatan | 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. |
| Bentuk Karya | Tidak ada kode yang sesuai |
| Target Pembaca | Tidak ada kode yang sesuai |
| Lokasi Akses Online |
https://mdpi-res.com/bookfiles/book/13529/Artificial_Intelligence_and_Control_Systems_for_Industry_40_and_50.pdf?v=1792655191 |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 432126192 | 006.3 Per a | Baca Online | Perpustakaan Pusat - Online Resources Ebook |
Tersedia |
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| 001 | INLIS000000000171288 | ||
| 005 | 20261022030339 | ||
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| 245 | 1 | # | $a Artificial Intelligence and Control Systems for Industry 4.0 and 5.0 /$c Filipe Pereira and Paulo Leitao |
| 260 | # | # | $a Basel, Switzerland :$b MDPI - Multidisciplinary Digital Publishing Institute,$c 2026 |
| 300 | # | # | $a 230 : $b ilus ; $c 25 cm |
| 505 | # | # | $a 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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| 700 | 0 | # | $a Leitao,Paulo |
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