Anomaly Detection

Anomalies are early whispers of malfunction, intrusion, or even discovery. Anomaly Detection - Methods, Complexities, and Applications offers a concise, practice-oriented guide to turning those whispers into actionable insights. Blending attention‑enhanced supervision, ensemble learning, and variati...

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Format: Online
Sprog:engelsk
Udgivet: IntechOpen 2026
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collection Directory of Open Access Books
description Anomalies are early whispers of malfunction, intrusion, or even discovery. Anomaly Detection - Methods, Complexities, and Applications offers a concise, practice-oriented guide to turning those whispers into actionable insights. Blending attention‑enhanced supervision, ensemble learning, and variational auto‑encoders with sector‑specific experience from smart manufacturing, renewable‑rich power grids, secure e‑commerce platforms, and astrophysical observatories, the volume gives readers a panoramic view of data pre‑processing, imbalance handling, explainability, edge deployment, and real‑time analytics. By uniting algorithmic rigor with implementation detail, the book equips engineers, researchers, and graduate students to design resilient monitoring systems, reduce operational risk, and unlock new knowledge from large, noisy datasets.
format Online
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institution Directory of Open Access Books
language eng
publishDate 2026
publishDateRange 2026
publishDateSort 2026
publisher IntechOpen
publisherStr IntechOpen
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spelling doab-20.500.12854ir-1719062026-02-12T17:25:36Z Anomaly Detection Delgado-Prieto, Miguel Computers / Intelligence (AI) & Semantics thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence Anomalies are early whispers of malfunction, intrusion, or even discovery. Anomaly Detection - Methods, Complexities, and Applications offers a concise, practice-oriented guide to turning those whispers into actionable insights. Blending attention‑enhanced supervision, ensemble learning, and variational auto‑encoders with sector‑specific experience from smart manufacturing, renewable‑rich power grids, secure e‑commerce platforms, and astrophysical observatories, the volume gives readers a panoramic view of data pre‑processing, imbalance handling, explainability, edge deployment, and real‑time analytics. By uniting algorithmic rigor with implementation detail, the book equips engineers, researchers, and graduate students to design resilient monitoring systems, reduce operational risk, and unlock new knowledge from large, noisy datasets. 2026-02-12T17:25:33Z 2026-02-12T17:25:33Z 2025 book 2633-1403 9781836343585 9781836343592 9781836343608 https://directory.doabooks.org/handle/20.500.12854/171906 eng Artificial Intelligence image/jpeg n/a https://www.intechopen.com/books/1004167 https://intech-files.s3.amazonaws.com/a04Tc000003OliTIAS/0016071_Authors_Book%20%282025-10-23%2008%3A40%3A13%29.pdf IntechOpen IntechOpen 10.5772/intechopen.1004507 10.5772/intechopen.1004507 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781836343585 9781836343592 9781836343608 IntechOpen 37 138 open access
spellingShingle Computers / Intelligence (AI) & Semantics
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
Anomaly Detection
title Anomaly Detection
title_full Anomaly Detection
title_fullStr Anomaly Detection
title_full_unstemmed Anomaly Detection
title_short Anomaly Detection
title_sort anomaly detection
topic Computers / Intelligence (AI) & Semantics
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
topic_facet Computers / Intelligence (AI) & Semantics
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
url 2633-1403