… 影片異常偵測(Video anomaly detection) 在影片認知中是一項越來越重要且有發展性的任務,它…
data and identified the outliers as anomalies. Common deep learning-based methods are …

… The integration of AI techniques, particularly machine learning and deep learning
algorithms, has revolutionized the field of real-time data monitoring and anomaly detection. AI …

… models is still poor in multiple scenarios. Currently,autoencoder-based deep learning
methods are introduced in video anomaly … Conclusion We develop a video anomaly detection …

… , a new deep learning technology called deep Gaussian … to extract features and detect anomaly
in one model. The results on … 1 The flow chart of video anomaly detection based on deep …

… This thesis focuses on anomaly detection for non-stationary and non-periodic time series, …
anomaly detection for such a type of time series. This thesis proposes an anomaly detection …

… behavior, video anomaly detection has always been a challenging problem in the field of
computer vision. Existing anomaly detection methods based on deep learning often use a …

… Second, the application frontiers of predictive power systems based on deep learning are
reviewed, which include civil and industrial scenarios, photovoltaic and wind power, …

… Fault detection of autonomous vehicle based on bi-layer hybrid ensemble[J]. Journal of …
Anomaly detection for power consumption patterns based on unsupervised learning[J]. …

… The main aim of this research paper is to detect moving objects from video sequences in …
The Visor (videos of different human action) dataset and UCSD (peds2) anomaly detection …

… of moneymule and non-moneymule, and then through interviews with … in the video, the data
is imbalance, so we use the deep learning model, bi-LSTM (Long Short-term memory model) …