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abnormally detection paper

时间: 2024-03-03 19:33:31 浏览: 144

There are many papers related to abnormality detection in various fields such as computer vision, medical imaging, cybersecurity, and more. Here are some examples: 1. "Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications" by Wenxiao Chen et al. This paper proposes an unsupervised anomaly detection method based on variational auto-encoder for seasonal key performance indicators in web applications. 2. "Abnormal Event Detection in Videos using Spatiotemporal Autoencoder" by Sangmin Lee et al. This paper presents a spatiotemporal autoencoder-based abnormal event detection method for surveillance videos. 3. "Anomaly Detection in ECG Signals Based on Deep Autoencoder Neural Networks" by Xiaoyu Zhang et al. This paper proposes a deep autoencoder neural network-based approach for detecting anomalies in electrocardiogram signals. 4. "Detecting Cyber Security Threats with Deep Learning Techniques: A Review" by Nidhi et al. This paper reviews the use of deep learning techniques for detecting cybersecurity threats and anomalies. 5. "Deep Learning-based Anomaly Detection in Endoscopy Images" by Koji Fujita et al. This paper proposes a deep learning-based approach for detecting anomalies in endoscopy images. These are just a few examples, and there are many more papers on abnormality detection in various fields.

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