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Anomalous-Aggressive Event Detection Techniques
Human behavior refers to the way humans interact with their surroundings. It can be classified as either being normal or anomalous behavior....
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Using k-means assistant event selection strategy to study anomalous quartic gauge couplings at muon colliders
The search for new physics beyond the Standard Model is one of the central problems of current high energy physics interest. As the luminosities of...
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Dual-Channel Autoencoder with Key Region Feature Enhancement for Video Anomalous Event Detection
Video anomaly event detection is crucial for analyzing surveillance videos. Existing methods have limitations: frame-level detection fails to remove...
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A multi-stage fusion instance learning method for anomalous event detection in videos
Anomalous event detection in giant amount surveillance footage in real world is currently an active research area. Variery and rareness of the...
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Unsupervised anomalous event detection in videos using spatio-temporal inter-fused autoencoder
Automatic detection, localization and interpretation of an unusual event in a sequence of video is a challenging task due to its equivocal and...
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Anomalous event detection and localization in dense crowd scenes
Recognizing and localizing anomalous events in crowd scenes is a challenging problem that has attracted the attention of researchers in computer...
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Anomalous sound event detection: A survey of machine learning based methods and applications
With the development of multi-modal man-machine interaction, audio signal analysis is gaining importance in a field traditionally dominated by video....
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Analysis of Anomalous Event GLE66 on October 29, 2003
AbstractEvent GLE66 (October 29, 2003) is the least studied of three GLE events that occurred in the fall of 2003. This is because of the powerful...
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Atlantic-origin water extension into the Pacific Arctic induced an anomalous biogeochemical event
The Arctic Ocean is facing dramatic environmental and ecosystem changes. In this context, an international multiship survey project was undertaken in...
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Dealing with Uncertainty in Anomalous Audio Event Detection Using Fuzzy Modeling
Surveillance systems are getting more and more multimodal. The availability of audio motivates a method for anomalous audio event detection...
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Anomalous human activity detection in videos using Bag-of-Adapted-Models-based representation
Anomalous human activity detection is highly essential due to its numerous uses in both public and private safety. Autoencoders-based normality...
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Detecting Anomalous Events in Object-Centric Business Processes via Graph Neural Networks
Detecting anomalies is important for identifying inefficiencies, errors, or fraud in business processes. Traditional process mining approaches focus...
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Coastal ecological disasters triggered by an extreme rainfall event thousands of kilometers inland
The world is experiencing an increase in the frequency and intensity of extreme weather events, yet the influences of remote inland extreme weather...
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Spectro Temporal Fusion with CLSTM-Autoencoder based approach for Anomalous Sound Detection
Deep learning models are proved efficient for complex learning tasks. Anomalous sound detection is one such complex task for which self-supervised...
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Record-high Antarctic Peninsula temperatures and surface melt in February 2022: a compound event with an intense atmospheric river
The Antarctic Peninsula (AP) experienced a new extreme warm event and record-high surface melt in February 2022, rivaling the recent temperature...
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Anomalous networks under the multispecies coalescent: theory and prevalence
Reticulations in a phylogenetic network represent processes such as gene flow, admixture, recombination and hybrid speciation. Extending definitions...
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The Anomalous Magnetic Moment of the Muon: A Theoretical Introduction
In February 2001, the Muon (g-2) Collaboration of the E821 experiment at the Brookhaven AGS released a new value of the anomalous magnetic moment of...
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Anomalous temperature dependence of elastic limit in metallic glasses
Understanding the atomistic mechanisms of inelastic deformation in metallic glasses (MGs) remains challenging due to their amorphous structure, where...
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Improved forecasting via physics-guided machine learning as exemplified using “21·7” extreme rainfall event in Henan
As a natural disaster, extreme precipitation is among the most destructive and influential, but predicting its occurrence and evolution accurately is...
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