Results 51 to 60 of about 107,551 (188)

Towards Effective Parkinson’s Monitoring: Movement Disorder Detection and Symptom Identification Using Wearable Inertial Sensors

open access: yesAlgorithms
Parkinson’s disease lacks a cure, yet symptomatic relief can be achieved through various treatments. This study dives into the critical aspect of anomalous event detection in the activities of daily living of patients with Parkinson’s disease and the ...
Umar Khan   +4 more
doaj   +1 more source

Abnormal Event Detection in Videos using Spatiotemporal Autoencoder

open access: yes, 2017
We present an efficient method for detecting anomalies in videos. Recent applications of convolutional neural networks have shown promises of convolutional layers for object detection and recognition, especially in images.
Chong, Yong Shean, Tay, Yong Haur
core   +1 more source

Early Detection of Freeway Traffic Anomalies With a Cycle-Consistent Bidirectional Generative Adversarial Network

open access: yesIEEE Access
Rapidly identifying anomalous events on freeways can significantly improve emergency response time and reduce congestion. However, the unpredictable nature of these incidents, along with the limitations of current monitoring systems, makes accurate and ...
Mina Nouri, Mohammad Ilbeigi
doaj   +1 more source

Evidence for an Excess of Soft Photons in Hadronic Decays of Z^0

open access: yes, 2006
Soft photons inside hadronic jets converted in front of the DELPHI main tracker (TPC) in events of qqbar disintegrations of the Z^0 were studied in the kinematic range 0.2 < E_gamma < 1 GeV and transverse momentum with respect to the closest jet ...
141   +408 more
core   +4 more sources

An Ionospheric Anomaly Monitor Based on the One Class Support Vector Algorithm for the Ground-Based Augmentation System

open access: yesRemote Sensing, 2021
An ionospheric anomaly is the irregular change of the ionosphere. It may result in potential threats for the ground-based augmentation system (GBAS) supporting the high-level precision approach.
Zhen Gao   +4 more
doaj   +1 more source

Anomaly Detection Based on Local Nearest Neighbor Distance Descriptor in Crowded Scenes

open access: yesThe Scientific World Journal, 2014
We propose a novel local nearest neighbor distance (LNND) descriptor for anomaly detection in crowded scenes. Comparing with the commonly used low-level feature descriptors in previous works, LNND descriptor has two major advantages.
Xing Hu   +4 more
doaj   +1 more source

An Adaptive Profile-Based Approach for Detecting Anomalous Traffic in Backbone

open access: yesIEEE Access, 2019
Anomaly detection is the first step with a challenging task of securing a communication network, as the anomalies may indicate suspicious behaviors, attacks, network malfunctions, or failures.
Xiao-Dong Zang, Jian Gong, Xiao-Yan Hu
doaj   +1 more source

Semantic anomaly detection in school-aged children during natural sentence reading - A study of fixation-related brain potentials.

open access: yesPLoS ONE, 2018
In this study, we investigated the effects of context-related semantic anomalies on the fixation-related brain potentials of 12-13-year-old Finnish children in grade 6 during sentence reading. The detection of such anomalies is typically reflected in the
Otto Loberg   +3 more
doaj   +1 more source

Multi-criteria Anomaly Detection using Pareto Depth Analysis [PDF]

open access: yes, 2012
We consider the problem of identifying patterns in a data set that exhibit anomalous behavior, often referred to as anomaly detection. In most anomaly detection algorithms, the dissimilarity between data samples is calculated by a single criterion, such ...
Calder, Jeff   +3 more
core  

Model-free detection of unique events in time series

open access: yesScientific Reports, 2022
Recognition of anomalous events is a challenging but critical task in many scientific and industrial fields, especially when the properties of anomalies are unknown.
Zsigmond Benkő   +2 more
doaj   +1 more source

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