Handbook of research on deep learning techniques for cloud-based industrial IoT:
Deep Learning Techniques for Cloud-Based Industrial IoT aims to demonstrate how computer scientists and engineers of today might employ artificial intelligence in practical applications with the emerging cloud and IoT technologies. The book also gathers recent research works in emerging artificial i...
Gespeichert in:
| Weitere Verfasser: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2023]
|
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-706 DE-83 DE-898 DE-1050 Volltext |
| Zusammenfassung: | Deep Learning Techniques for Cloud-Based Industrial IoT aims to demonstrate how computer scientists and engineers of today might employ artificial intelligence in practical applications with the emerging cloud and IoT technologies. The book also gathers recent research works in emerging artificial intelligence methods and applications for processing and storing the data generated from the cloud-based Internet of Things. Covering key topics such as data, cybersecurity, blockchain, and artificial intelligence, this premier reference source is ideal for industry professionals, engineers, computer scientists, researchers, scholars, academicians, practitioners, instructors, and students |
| Beschreibung: | 1 Online-Ressource (xxxi, 432 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781668481004 |
| DOI: | 10.4018/978-1-6684-8098-4 |
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| 245 | 1 | 0 | |a Handbook of research on deep learning techniques for cloud-based industrial IoT |c P. Swarnalatha (Department of Information Security, School of Computer Science and Engineering, Vellore Institute of Technology, India), S. Prabu (Department Banking Technology, Pondicherry University, India) |
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| institution | BVB |
| isbn | 9781668481004 |
| language | English |
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| spelling | Handbook of research on deep learning techniques for cloud-based industrial IoT P. Swarnalatha (Department of Information Security, School of Computer Science and Engineering, Vellore Institute of Technology, India), S. Prabu (Department Banking Technology, Pondicherry University, India) Research on deep learning techniques for cloud-based industrial IoT Handbook of research on deep learning techniques for cloud-based industrial internet of things Research on deep learning techniques for cloud-based industrial internet of things Advances in computational intelligence and robotics (ACIR) Hershey PA, USA IGI Global [2023] 1 Online-Ressource (xxxi, 432 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Deep Learning Techniques for Cloud-Based Industrial IoT aims to demonstrate how computer scientists and engineers of today might employ artificial intelligence in practical applications with the emerging cloud and IoT technologies. The book also gathers recent research works in emerging artificial intelligence methods and applications for processing and storing the data generated from the cloud-based Internet of Things. Covering key topics such as data, cybersecurity, blockchain, and artificial intelligence, this premier reference source is ideal for industry professionals, engineers, computer scientists, researchers, scholars, academicians, practitioners, instructors, and students Internet of things Industrial applications Deep learning (Machine learning) Cloud computing Swarnalatha, P. 1977- (DE-588)1161222057 edt Prabu, S. 1981- edt Erscheint auch als Druck-Ausgabe 1668480980 Erscheint auch als Druck-Ausgabe 9781668480984 https://doi.org/10.4018/978-1-6684-8098-4 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Handbook of research on deep learning techniques for cloud-based industrial IoT Internet of things Industrial applications Deep learning (Machine learning) Cloud computing |
| title | Handbook of research on deep learning techniques for cloud-based industrial IoT |
| title_alt | Research on deep learning techniques for cloud-based industrial IoT Handbook of research on deep learning techniques for cloud-based industrial internet of things Research on deep learning techniques for cloud-based industrial internet of things Advances in computational intelligence and robotics (ACIR) |
| title_auth | Handbook of research on deep learning techniques for cloud-based industrial IoT |
| title_exact_search | Handbook of research on deep learning techniques for cloud-based industrial IoT |
| title_exact_search_txtP | Handbook of research on deep learning techniques for cloud-based industrial IoT |
| title_full | Handbook of research on deep learning techniques for cloud-based industrial IoT P. Swarnalatha (Department of Information Security, School of Computer Science and Engineering, Vellore Institute of Technology, India), S. Prabu (Department Banking Technology, Pondicherry University, India) |
| title_fullStr | Handbook of research on deep learning techniques for cloud-based industrial IoT P. Swarnalatha (Department of Information Security, School of Computer Science and Engineering, Vellore Institute of Technology, India), S. Prabu (Department Banking Technology, Pondicherry University, India) |
| title_full_unstemmed | Handbook of research on deep learning techniques for cloud-based industrial IoT P. Swarnalatha (Department of Information Security, School of Computer Science and Engineering, Vellore Institute of Technology, India), S. Prabu (Department Banking Technology, Pondicherry University, India) |
| title_short | Handbook of research on deep learning techniques for cloud-based industrial IoT |
| title_sort | handbook of research on deep learning techniques for cloud based industrial iot |
| topic | Internet of things Industrial applications Deep learning (Machine learning) Cloud computing |
| topic_facet | Internet of things Industrial applications Deep learning (Machine learning) Cloud computing |
| url | https://doi.org/10.4018/978-1-6684-8098-4 |
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