Katalog der Deutschen Nationalbibliothek
Ergebnis der Suche nach: "Machine Learning"
Treffer 189 von 42816
|
|
| Link zu diesem Datensatz | https://d-nb.info/1387620665 |
| Titel | Reliability in Cyber-Physical Systems: The Human Factor Perspective / edited by Gururaj H. L., Vinayakumar Ravi, Hoang Pham, Dayananda P. |
| Person(en) |
H. L., Gururaj (Herausgeber) Ravi, Vinayakumar (Herausgeber) Pham, Hoang (Herausgeber) P., Dayananda (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, XII, 282 p. 92 illus., 80 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-032-09916-7 Printed edition:: ISBN: 978-3-032-09918-1 Printed edition:: ISBN: 978-3-032-09919-8 |
| Inhalt | Recurrent integrated CNN gate (RICG): A dynamic deep learning model for security and efficiency enhancement in cyber-physical systems -- A cognitive workload-aware machine learning model for performance enhancement in cyber-physical systems -- Audio driven detection of hate speech in Telugu: Toward ethical and secure CPS -- Vision transformer-based audio analysis for depression detection: A human factor in reliable CPS -- A distributed approach based on Catboost, BlockChain and edge computing for IoT security -- An improved anomaly detection based on ensemble learning and deep Q-network for mobile edge computing monitoring -- Efficient anomaly detection for cyber-physical leveraging knowledge distillation and model quantization -- Interpretable anomaly detection for cyber-physical system risk mitigation using CNN and SHAP -- Intrusion detection approaches in healthcare systems: An overview -- Optimizing intrusion detection systems: A machine learning-based feature selection approach for enhanced cybersecurity -- Human factors in cyber-physical systems: Bridging the gap between humans and technology -- Ensemble-based cognitive IDS for IIoT in cyber-physical environments -- Towards reliable and secure IoMT: A deep learning perspective on cyber-physical threats -- Improved computational diffie-hellman-based mechanism for cyber-physical security -- Enhancing PE malware detection: A comparative study of feature-based and image-based representations -- A lightweight attention-enhanced deep learning framework for malware detection in IoT: A comparative study of structured and image-based data representations -- Machine learning for cyber-physical systems: A short survey -- Formal methods for cyber-physical systems |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2601220307335.878695044776 DOI: 10.1007/978-3-032-09917-4 |
| URL | https://doi.org/10.1007/978-3-032-09917-4 |
| ISBN/Einband/Preis | 978-3-032-09917-4 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Springer Series in Reliability Engineering |
| DDC-Notation | 620.004 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 620 Ingenieurwissenschaften und Maschinenbau |
| Online-Zugriff | Archivobjekt öffnen |
Treffer 189 von 42816
Administration
