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Ergebnis der Suche nach: tit all "Machine Learning Techniques"
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| Link zu diesem Datensatz | https://d-nb.info/1343656966 |
| Titel | Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications / edited by V. Ajantha Devi |
| Person(en) | Devi, V. Ajantha (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2024 |
| Verlag | Singapore : Springer Nature Singapore, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2024 |
| Umfang/Format | Online-Ressource, VII, 175 p. 81 illus., 73 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-981-9753-64-2 Printed edition:: ISBN: 978-981-9753-66-6 Printed edition:: ISBN: 978-981-9753-67-3 |
| Inhalt | Leveraging IoT Based CNN for Streamlining Business Application -- Intelligent Electric Vehicles: Leveraging AI-IoT for Sustainable Mobility -- Internet of Things Enabled Deep Convolutional Neural Network Model for Breast Cancer Classification -- Application of Machine Learning in Cyber Security: A Technological Perceptive -- Statistical Surveillance for Host-based Intrusion Detection System (HIDS): An Intelligent System for Automation -- IoT for Healthcare: A Sustainable Approach -- A NOVEL TRUST BASED FRAMEWORK FOR SECURED VANETs IN FUTURE -- Big Data and IOT based Flood Monitoring using Deep Neural Network -- Role of Artificial Intelligence in Design & Implementation of Healthcare Web Based Application “Carefree Bharat” focusing Sustainable Development |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2410010457599.763458784777 DOI: 10.1007/978-981-97-5365-9 |
| URL | https://doi.org/10.1007/978-981-97-5365-9 |
| ISBN/Einband/Preis | 978-981-97-5365-9 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Contributions to Environmental Sciences & Innovative Business Technology |
| DDC-Notation | 658.5 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 650 Management |
| Online-Zugriff | Archivobjekt öffnen |

