Works about ANOMALY detection (Computer security)
Results: 2338
A Strategy for Predicting the Performance of Supervised and Unsupervised Tabular Data Classifiers.
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- Data Science & Engineering, 2025, v. 10, n. 1, p. 75, doi. 10.1007/s41019-024-00264-9
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- Article
Making a Real-Time IoT Network Intrusion-Detection System (INIDS) Using a Realistic BoT–IoT Dataset with Multiple Machine-Learning Classifiers.
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- Applied Sciences (2076-3417), 2025, v. 15, n. 4, p. 2043, doi. 10.3390/app15042043
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- Article
Multi-Head Attention Enhanced Parallel Dilated Convolution and Residual Learning for Network Traffic Anomaly Detection.
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- Computers, Materials & Continua, 2025, v. 82, n. 2, p. 2159, doi. 10.32604/cmc.2024.058396
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- Article
Synthetic Data Generation for AI-Informed End-of-Line Testing for Lithium-Ion Battery Production.
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- World Electric Vehicle Journal, 2025, v. 16, n. 2, p. 75, doi. 10.3390/wevj16020075
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- Article
SCConv-Denoising Diffusion Probabilistic Model Anomaly Detection Based on TimesNet.
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- Electronics (2079-9292), 2025, v. 14, n. 4, p. 746, doi. 10.3390/electronics14040746
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- Article
CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting.
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- Scientific Data, 2025, v. 12, n. 1, p. 1, doi. 10.1038/s41597-025-04603-x
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- Article
TOCA-IoT: Threshold Optimization and Causal Analysis for IoT Network Anomaly Detection Based on Explainable Random Forest.
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- Algorithms, 2025, v. 18, n. 2, p. 117, doi. 10.3390/a18020117
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- Article
Enhanced Hybrid Deep Learning Models-Based Anomaly Detection Method for Two-Stage Binary and Multi-Class Classification of Attacks in Intrusion Detection Systems.
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- Algorithms, 2025, v. 18, n. 2, p. 69, doi. 10.3390/a18020069
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- Article
Helicopter Turboshaft Engines' Neural Network System for Monitoring Sensor Failures.
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- Sensors (14248220), 2025, v. 25, n. 4, p. 990, doi. 10.3390/s25040990
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- Article
Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning.
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- Journal of Artificial Intelligence Research, 2024, v. 80, p. 127, doi. 10.1613/jair.1.14741
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- Publication type:
- Article
A Principled Distributional Approach to Trajectory Similarity Measurement and its Application to Anomaly Detection.
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- Journal of Artificial Intelligence Research, 2024, v. 79, p. 865, doi. 10.1613/jair.1.15849
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- Publication type:
- Article
conDENSE: Conditional Density Estimation for Time Series Anomaly Detection.
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- Journal of Artificial Intelligence Research, 2024, v. 79, p. 801, doi. 10.1613/jair.1.14849
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- Article
Toward Supervised Anomaly Detection.
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- Journal of Artificial Intelligence Research, 2013, v. 46, p. 235
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- Article
Masked feature regeneration based asymmetric student–teacher network for anomaly detection.
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- Multimedia Tools & Applications, 2024, v. 83, n. 42, p. 90573, doi. 10.1007/s11042-024-18512-5
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- Article
Image manipulation localization using reconstruction attention.
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- Multimedia Tools & Applications, 2024, v. 83, n. 41, p. 89173, doi. 10.1007/s11042-024-19014-0
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- Publication type:
- Article
Channel based approach via faster dual prediction network for video anomaly detection.
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- Multimedia Tools & Applications, 2024, v. 83, n. 33, p. 79281, doi. 10.1007/s11042-024-18707-w
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- Article
Human activity-based anomaly detection and recognition by surveillance video using kernel local component analysis with classification by deep learning techniques.
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- Multimedia Tools & Applications, 2024, v. 83, n. 35, p. 82419, doi. 10.1007/s11042-024-18711-0
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- Publication type:
- Article
Leveraging feature subset selection with deer hunting optimizer based deep learning for anomaly detection in secure cloud environment.
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- Multimedia Tools & Applications, 2024, v. 83, n. 25, p. 65949, doi. 10.1007/s11042-024-18162-7
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- Article
Retraction Note: Soft multimedia anomaly detection based on neural network and optimization driven support vector machine.
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- 2024
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- Correction Notice
Intelligent anomaly detection for dynamic high-frequency sensor data of road underground structure.
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- Multimedia Tools & Applications, 2024, v. 83, n. 22, p. 62287, doi. 10.1007/s11042-023-16645-7
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- Publication type:
- Article
Anomaly detection in WSN IoT (Internet of Things) environment through a consensus-based anomaly detection approach.
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- Multimedia Tools & Applications, 2024, v. 83, n. 20, p. 58915, doi. 10.1007/s11042-023-17894-2
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- Article
Conjoined triple deep network for video anomaly detection.
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- Multimedia Tools & Applications, 2024, v. 83, n. 20, p. 59491, doi. 10.1007/s11042-023-17842-0
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- Article
PA2Dnet based ensemble classifier for the detection of crowd anomaly detection.
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- Multimedia Tools & Applications, 2024, v. 83, n. 18, p. 53635, doi. 10.1007/s11042-023-17627-5
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- Publication type:
- Article
MTM-net: a multidimensional two-stage memory-guided network for vedio abnormal detection.
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- Multimedia Tools & Applications, 2024, v. 83, n. 17, p. 50493, doi. 10.1007/s11042-023-17164-1
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- Publication type:
- Article
Semi-supervised anomaly detection in video surveillance by inpainting.
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- Multimedia Tools & Applications, 2024, v. 83, n. 16, p. 47677, doi. 10.1007/s11042-023-17294-6
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- Publication type:
- Article
Appearance-motion heterogeneous networks for video anomaly detection.
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- Multimedia Tools & Applications, 2024, v. 83, n. 15, p. 44023, doi. 10.1007/s11042-023-17382-7
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- Article
Memory enhancement method based on Skip-GANomaly for anomaly detection.
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- Multimedia Tools & Applications, 2024, v. 83, n. 7, p. 19501, doi. 10.1007/s11042-023-16317-6
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- Article
Jaywalking detection and localization in street scene videos using fine-tuned convolutional neural networks.
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- Multimedia Tools & Applications, 2023, v. 82, n. 22, p. 34771, doi. 10.1007/s11042-023-14922-z
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- Article
Fast anomaly detection in video surveillance system using robust spatiotemporal and deep learning methods.
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- Multimedia Tools & Applications, 2023, v. 82, n. 22, p. 34259, doi. 10.1007/s11042-023-14840-0
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- Article
HN-MUM: heterogeneous video anomaly detection network with multi-united-memory module.
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- Multimedia Tools & Applications, 2023, v. 82, n. 20, p. 31521, doi. 10.1007/s11042-023-15154-x
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- Article
Detection and localization of anomalies in video surveillance using novel optimization based deep convolutional neural network.
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- Multimedia Tools & Applications, 2023, v. 82, n. 19, p. 28895, doi. 10.1007/s11042-023-14917-w
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- Article
Analysis of anomaly detection in surveillance video: recent trends and future vision.
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- Multimedia Tools & Applications, 2023, v. 82, n. 8, p. 12635, doi. 10.1007/s11042-022-13954-1
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- Article
MPAT: multi-path attention temporal method for video anomaly detection.
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- Multimedia Tools & Applications, 2023, v. 82, n. 8, p. 12557, doi. 10.1007/s11042-022-13834-8
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- Article
Attention-guided residual frame learning for video anomaly detection.
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- Multimedia Tools & Applications, 2023, v. 82, n. 8, p. 12099, doi. 10.1007/s11042-022-13643-z
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- Article
Generic and scalable periodicity adaptation framework for time-series anomaly detection.
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- Multimedia Tools & Applications, 2023, v. 82, n. 2, p. 2731, doi. 10.1007/s11042-022-13304-1
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- Article
The utility of datasets in crowd modelling and analysis: a survey.
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- Multimedia Tools & Applications, 2022, v. 81, n. 30, p. 43947, doi. 10.1007/s11042-022-13227-x
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- Article
Surveillance video anomaly detection via non-local U-Net frame prediction.
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- Multimedia Tools & Applications, 2022, v. 81, n. 19, p. 27073, doi. 10.1007/s11042-021-11550-3
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- Publication type:
- Article
A modified densenet approach with nearmiss for anomaly detection in industrial control systems.
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- Multimedia Tools & Applications, 2022, v. 81, n. 16, p. 22573, doi. 10.1007/s11042-021-11618-0
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- Article
Is Cybersecurity a Public Good?
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- 2019
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- Publication type:
- Editorial
Intraday Anomalies and Market Efficiency: A Trading Robot Analysis.
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- Computational Economics, 2016, v. 47, n. 2, p. 275, doi. 10.1007/s10614-015-9484-9
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- Publication type:
- Article
Anomaly detection in a mobile communication network.
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- Computational & Mathematical Organization Theory, 2007, v. 13, n. 4, p. 407, doi. 10.1007/s10588-007-9018-7
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- Publication type:
- Article
Transfer Learning with Transformer-Based Models for Mine Water Inrush Prediction: A Multivariate Analysis Using Sparse and Imbalanced Monitoring Data.
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- Mine Water & the Environment, 2024, v. 43, n. 4, p. 707, doi. 10.1007/s10230-024-01011-2
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- Publication type:
- Article
Detecting Anomalies in Daily Activity Routines of Older Persons in Single Resident Smart Homes: Proof-of-Concept Study.
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- JMIR Aging, 2022, v. 5, n. 2, p. 1, doi. 10.2196/28260
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- Article
A CNN Based Anomaly Detection Network for Utility Tunnel Fire Protection.
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- Fire (2571-6255), 2022, v. 5, n. 6, p. 212, doi. 10.3390/fire5060212
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- Publication type:
- Article
Weakly supervised anomaly detection based on sparsity prior.
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- Electronic Research Archive, 2024, v. 32, n. 6, p. 1, doi. 10.3934/era.2024169
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- Article
A taxi detour trajectory detection model based on iBAT and DTW algorithm.
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- Electronic Research Archive, 2022, v. 30, n. 12, p. 1, doi. 10.3934/era.2022229
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- Publication type:
- Article
Ship detention prediction using anomaly detection in port state control: model and explanation.
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- Electronic Research Archive, 2022, v. 30, n. 10, p. 1, doi. 10.3934/era.2022188
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- Publication type:
- Article
Evaluating the impact of generative adversarial models on the performance of anomaly intrusion detection.
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- IET Networks (Wiley-Blackwell), 2024, v. 13, n. 1, p. 28, doi. 10.1049/ntw2.12098
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- Article
基于 GRU-UAE 的无监督航迹异常检测方法.
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- Command Control & Simulation / Zhihui Kongzhi yu Fangzhen, 2023, v. 45, n. 5, p. 51, doi. 10.3969/j.issn.1673-3819.2023.05.008
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- Article
E-commerce Transactions of Behaviors Anomaly Detection System.
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- Iraqi Journal of Information Technology, 2018, v. 9, n. 1, Part 1&2, p. 137
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- Publication type:
- Article