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2024 | OriginalPaper | Buchkapitel

Artificial Intelligence and Machine Learning with IoT

verfasst von : Shailendra W. Shende, Jitendra V. Tembhurne, Tapan Kumar Jain

Erschienen in: Modern Approaches in IoT and Machine Learning for Cyber Security

Verlag: Springer International Publishing

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Abstract

Dieses Kapitel vertieft sich in die Schnittmenge von künstlicher Intelligenz, maschinellem Lernen und Deep Learning mit dem Internet der Dinge (IoT). Es beginnt mit der Definition zentraler Begriffe und Konzepte wie KI, ML und DL und ihrer Beziehung. Das Kapitel untersucht dann verschiedene Algorithmen des maschinellen Lernens, einschließlich überwachter Lernmethoden wie k-Nearest Neighbors und Support Vector Machines, unbeaufsichtigter Lerntechniken wie Principal Component Analysis und K-means Clustering sowie Verstärkungslernen. Darüber hinaus werden die Herausforderungen und das Potenzial von KI und ML in IoT-Anwendungen wie Datenaggregation, Routing und Sicherheit diskutiert. Das Kapitel schließt mit der Betonung der Bedeutung dieser Technologien für die Verbesserung der Leistung und Sicherheit von IoT-Systemen, insbesondere im Gesundheitswesen und in der Smart-Home-Industrie.

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Titel: Artificial Intelligence and Machine Learning with IoT
verfasst von: Shailendra W. Shende
Jitendra V. Tembhurne
Tapan Kumar Jain
Verlag: Springer International Publishing
Buch: Modern Approaches in IoT and Machine Learning for Cyber Security
Print ISBN: 978-3-031-09954-0

Electronic ISBN: 978-3-031-09955-7

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-09955-7_10

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