We review state-of-the-art methods that may be employed to detect anomalies in the specific area of sensor systems, which poses hard challenges.
Oct 27, 2020 · We review state-of-the-art methods that may be employed to detect anomalies in the specific area of sensor systems, which poses hard challenges.
Oct 31, 2020 · The review takes into account the most interesting smart sensing methods, and identifies a set of appealing open issues and challenges. Anomaly ...
Smart Anomaly Detection in Sensor Systems: · 1. Introduction ing out important information about the system function- · 2.3. Anomaly detection datasets 3.1.
Oct 27, 2020 · This work provides a scoping overview of research from recent advances in anomaly detection in smart grids, and categorizes the study from ...
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Oct 22, 2024 · Extensive experiments demonstrate that our proposed multi-perspective approach exceeds the state-of-the-art single-perspective anomaly detection ...
This is the first work that focuses on addressing multi-perspective anomaly detection in images by jointly using different perspectives together with one ...
Aug 3, 2023 · Anomaly detection in sensor data is crucial for optimizing operations, mitigating risks, and driving efficiency across industries. Real-time ...
A good anomaly detection methodology should be able to accurately identify many types of anomaly, be robust, require relatively few resources, and perform ...
Jun 30, 2024 · This research aims to develop an adaptive and automated anomaly detection model using the Naive Bayes algorithm and cross-validation.