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   Articles with "isolation forest" as a keyword



Fault detection method for electric vehicle battery pack based on improved kurtosis and isolation forest

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recommendations! Published in 2024 at "International Journal of Green Energy"

DOI: 10.1080/15435075.2024.2422463

Abstract: ABSTRACT Early detection of abnormal battery characteristics is crucial for ensuring personnel safety and minimizing property damage. Conventional fault diagnosis methods often struggle to detect minor faults in their early stages. To address this challenge,… read more here.

Keywords: improved kurtosis; battery; method; isolation forest ... See more keywords

Out-of-Distribution Detection for Deep Neural Networks With Isolation Forest and Local Outlier Factor

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recommendations! Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3108451

Abstract: Deep Neural Networks (DNNs) are extensively deployed in today’s safety-critical autonomous systems thanks to their excellent performance. However, they are known to make mistakes unpredictably, e.g., a DNN may misclassify an object if it is… read more here.

Keywords: detection; deep neural; neural networks; isolation forest ... See more keywords

Isolation Forest Based on Minimal Spanning Tree

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3190505

Abstract: Detecting anomalies in data sets has been one of the most studied issues in modern data analysis. Therefore, there is a plethora of applications in a very wide range of fields of science and technology.… read more here.

Keywords: forest based; based minimal; minimal spanning; isolation forest ... See more keywords

Isolation Forest With Exclusion of Attributes Based on Shapley Index

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3432174

Abstract: Recognizing anomalies is an extremely important process in data analysis, aimed at identifying patterns in data that deviate from known norms or typical standards. These anomalies are often indicative of significant, and sometimes critical, issues… read more here.

Keywords: forest algorithm; methodology; isolation forest; anomaly detection ... See more keywords
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Isolation Forest Based Anomaly Detection Framework on Non-IID Data

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recommendations! Published in 2021 at "IEEE Intelligent Systems"

DOI: 10.1109/mis.2021.3057914

Abstract: Anomaly detection is a significant but challenging data mining task in a wide range of applications. Different domains usually use different ways to measure the characteristics of data and to define the anomaly types. As… read more here.

Keywords: forest based; isolation forest; anomaly detection; isolation ... See more keywords

A Docker Container Anomaly Monitoring System Based on Optimized Isolation Forest

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recommendations! Published in 2022 at "IEEE Transactions on Cloud Computing"

DOI: 10.1109/tcc.2019.2935724

Abstract: Container-based virtualization has gradually become a main solution in today‘s cloud computing environments. Detecting and analyzing anomaly in containers present a major challenge for cloud vendors and users. This paper proposes an online container anomaly… read more here.

Keywords: system; based optimized; isolation forest; container anomaly ... See more keywords

Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery

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recommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2020.2978491

Abstract: Hyperspectral anomaly detection (HAD) has drawn a significant attention of late due to its importance in many military and civilian applications. In this article, a fast hyperspectral anomaly detector that combines multiple features and isolation… read more here.

Keywords: multiple features; anomaly detector; isolation forest; features isolation ... See more keywords

Intelligent Cross-Working Condition Fault Detection and Diagnosis Using Isolation Forest and Adversarial Discriminant Domain Adaptation

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recommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2024.3457923

Abstract: The increasing complexity and varying operational conditions of today’s rotating machinery present significant challenges for automated fault diagnosis. While data-driven fault diagnosis methods have grown in popularity, they often rely heavily on full-cycle data, making… read more here.

Keywords: diagnosis; adversarial discriminant; isolation forest; discriminant domain ... See more keywords

ITrust: An Anomaly-Resilient Trust Model Based on Isolation Forest for Underwater Acoustic Sensor Networks

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recommendations! Published in 2022 at "IEEE Transactions on Mobile Computing"

DOI: 10.1109/tmc.2020.3028369

Abstract: Underwater acoustic sensor networks (UASNs) have been widely promoted for developing various categories of marine applications, where the sensor nodes cooperate to complete specific tasks. Given the fact that the sensor nodes are unattended while… read more here.

Keywords: trust model; isolation forest; trust; model ... See more keywords

Epileptic Seizure Detection by Cascading Isolation Forest-Based Anomaly Screening and EasyEnsemble

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recommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"

DOI: 10.1109/tnsre.2022.3163503

Abstract: The electroencephalogram (EEG), for measuring the electrophysiological activity of the brain, has been widely applied in automatic detection of epilepsy seizures. Various EEG-based seizure detection algorithms have already yielded high sensitivity, but training those algorithms… read more here.

Keywords: forest based; seizure; based anomaly; isolation forest ... See more keywords

Devising Isolation Forest-Based Method to Investigate the sRNAome of Mycobacterium tuberculosis Using sRNA-seq Data

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recommendations! Published in 2024 at "Bioinformatics and Biology Insights"

DOI: 10.1177/11779322241263674

Abstract: Small non-coding RNAs (sRNAs) regulate the synthesis of virulence factors and other pathogenic traits, which enables the bacteria to survive and proliferate after host infection. While high-throughput sequencing data have proved useful in identifying sRNAs… read more here.

Keywords: isolation forest; seq data; tuberculosis; isolation ... See more keywords