Handbook of research on AI and ML for intelligent machines and systems:
The Handbook of Research on AI and ML for Intelligent Machines and Systems offers a comprehensive exploration of the pivotal role played by artificial intelligence (AI) and machine learning (ML) technologies in the development of intelligent machines. As the demand for intelligent machines continues...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2024]
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| Schriftenreihe: | Advances in computational intelligence and robotics (ACIR) book series
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| Schlagworte: | |
| Online-Zugang: | DE-91 DE-898 DE-1050 URL des Erstveröffentlichers |
| Zusammenfassung: | The Handbook of Research on AI and ML for Intelligent Machines and Systems offers a comprehensive exploration of the pivotal role played by artificial intelligence (AI) and machine learning (ML) technologies in the development of intelligent machines. As the demand for intelligent machines continues to rise across various sectors, understanding the integration of these advanced technologies becomes paramount. While AI and ML have individually showcased their capabilities in developing robust intelligent machine systems and services, their fusion holds the key to propelling intelligent machines to a new realm of transformation. By compiling recent advancements in intelligent machines that rely on machine learning and deep learning technologies, this book serves as a vital resource for researchers, graduate students, PhD scholars, faculty members, scientists, and software developers. It offers valuable insights into the key concepts of AI and ML, covering essential security aspects, current trends, and often overlooked perspectives that are crucial for achieving comprehensive understanding. It not only explores the theoretical foundations of AI and ML but also provides guidance on applying these techniques to solve real-world problems. Unlike traditional texts, it offers flexibility through its distinctive module-based structure, allowing readers to follow their own learning paths. |
| Beschreibung: | 1 Online-Ressource (xxvii, 503 Seiten) Illustrationen, Diagramme |
| ISBN: | 9798369300008 |
| DOI: | 10.4018/978-1-6684-9999-3 |
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| doi_str_mv | 10.4018/978-1-6684-9999-3 |
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| index_date | 2024-07-03T23:14:18Z |
| indexdate | 2025-01-10T17:13:57Z |
| institution | BVB |
| isbn | 9798369300008 |
| language | English |
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| spelling | Handbook of research on AI and ML for intelligent machines and systems Brij B. Gupta, Francesco Colace Handbook of research on artificial intelligence and machine learning for intelligent machines and systems Hershey PA, USA IGI Global [2024] © 2024 1 Online-Ressource (xxvii, 503 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Advances in computational intelligence and robotics (ACIR) book series The Handbook of Research on AI and ML for Intelligent Machines and Systems offers a comprehensive exploration of the pivotal role played by artificial intelligence (AI) and machine learning (ML) technologies in the development of intelligent machines. As the demand for intelligent machines continues to rise across various sectors, understanding the integration of these advanced technologies becomes paramount. While AI and ML have individually showcased their capabilities in developing robust intelligent machine systems and services, their fusion holds the key to propelling intelligent machines to a new realm of transformation. By compiling recent advancements in intelligent machines that rely on machine learning and deep learning technologies, this book serves as a vital resource for researchers, graduate students, PhD scholars, faculty members, scientists, and software developers. It offers valuable insights into the key concepts of AI and ML, covering essential security aspects, current trends, and often overlooked perspectives that are crucial for achieving comprehensive understanding. It not only explores the theoretical foundations of AI and ML but also provides guidance on applying these techniques to solve real-world problems. Unlike traditional texts, it offers flexibility through its distinctive module-based structure, allowing readers to follow their own learning paths. Artificial intelligence Industrial applications Machine learning Industrial applications Robotik (DE-588)4261462-4 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Maschinelles Lernen (DE-588)4193754-5 s Robotik (DE-588)4261462-4 s DE-604 Gupta, Brij 1982- (DE-588)1103817469 edt Colace, Francesco (DE-588)1098191765 edt Erscheint auch als Druck-Ausgabe, Hardcover 978-1-6684-9999-3 Erscheint auch als Druck-Ausgabe 1-6684-9999-1 https://doi.org/10.4018/978-1-6684-9999-3 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Handbook of research on AI and ML for intelligent machines and systems Artificial intelligence Industrial applications Machine learning Industrial applications Robotik (DE-588)4261462-4 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4261462-4 (DE-588)4193754-5 (DE-588)4143413-4 |
| title | Handbook of research on AI and ML for intelligent machines and systems |
| title_alt | Handbook of research on artificial intelligence and machine learning for intelligent machines and systems |
| title_auth | Handbook of research on AI and ML for intelligent machines and systems |
| title_exact_search | Handbook of research on AI and ML for intelligent machines and systems |
| title_exact_search_txtP | Handbook of research on AI and ML for intelligent machines and systems |
| title_full | Handbook of research on AI and ML for intelligent machines and systems Brij B. Gupta, Francesco Colace |
| title_fullStr | Handbook of research on AI and ML for intelligent machines and systems Brij B. Gupta, Francesco Colace |
| title_full_unstemmed | Handbook of research on AI and ML for intelligent machines and systems Brij B. Gupta, Francesco Colace |
| title_short | Handbook of research on AI and ML for intelligent machines and systems |
| title_sort | handbook of research on ai and ml for intelligent machines and systems |
| topic | Artificial intelligence Industrial applications Machine learning Industrial applications Robotik (DE-588)4261462-4 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Artificial intelligence Industrial applications Machine learning Industrial applications Robotik Maschinelles Lernen Aufsatzsammlung |
| url | https://doi.org/10.4018/978-1-6684-9999-3 |
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