Results 71 to 80 of about 107,551 (188)
Heuristic Optimal Scheduling for Road Traffic Incident Detection Under Computational Constraints
SensorsThe intelligent monitoring of road surveillance videos is a crucial tool for detecting and predicting traffic anomalies, swiftly identifying road safety risks, rapidly addressing potential hazards, and preventing accidents or secondary incidents.
Hao Wu +3 more
doaj +1 more source
A New Correlator to Detect and Characterize the Chiral Magnetic Effect
, 2018 A charge-sensitive in-event correlator is proposed and tested for its efficacy to detect and characterize charge separation associated with the Chiral Magnetic Effect (CME) in heavy ion collisions.
Ajitanand, N. +4 more
core +1 more source
Sensors, 2017 One of the main aspects affecting the quality of life of people living in urban and suburban areas is their continued exposure to high Road Traffic Noise (RTN) levels.
Joan Claudi Socoró +2 more
doaj +1 more source
Anomaly Detection in Data Center IT & Physical Infrastructure [PDF]
EPJ Web of ConferencesAnomaly detection in data center IT and physical infrastructure is challenging due to the amount of heterogeneous data to be analyzed. Defining a solution that early identifies unexpected anomalies is particularly important to prevent data losses ...
Ronchieri Elisabetta +6 more
doaj +1 more source
Sampling techniques applied to anomalous events detection
, 2022 Nowadays, one of the major worries about a network is security. Since the network has become the big platform it is, the number of attacks or attempts to steal information or just harm someone or something is getting bigger to handle or harder to find. Sampling techniques help to solve these problems as they are used to reduce the scope of the analysis,
openaire +1 more source
On-board Clutch Slippage Detection and Diagnosis in Heavy Duty Machine
International Journal of Prognostics and Health Management, 2018 In order to reduce unnecessary stops and expensive downtime originating from clutch failure of construction equipment machines; adequate real time sensor data measured on the machine in combination with feature extraction and classification methods may ...
Elisabeth Källström +4 more
doaj +1 more source
STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection
2017 IEEE International Conference on Data Mining (ICDM), 2017 Understanding newly emerging events or topics associated with a particular region of a given day can provide deep insight on the critical events occurring in highly evolving metropolitan cities. We propose herein a novel topic modeling approach on text documents with spatio-temporal information (e.g., when and where a document was published) such as ...
Sungbok Shin +10 more
openaire +2 more sources
Energetic Neutral Atoms Detected in the 2022 February 15 Solar Energetic Particle Event
The Astrophysical Journal LettersEnergetic neutral atoms (ENAs) are expected to be produced near the Sun during large solar energetic particle (SEP) events. However, their detection by SEP instruments near 1 au has been limited.
C. M. S. Cohen +3 more
doaj +1 more source
Anomaly Detection in the CMS L1 Trigger [PDF]
EPJ Web of ConferencesWe present the preparation, deployment, and testing of an autoen-coder trained for unbiased detection of new physics signatures in the CMS experiment Global Trigger (GT) test crate FPGAs during LHC Run 3.
Quinnan Melissa
doaj +1 more source
Combined Data Augmentation on EANN to Identify Indoor Anomalous Sound Event
Applied SciencesIndoor abnormal sound event identification refers to the automatic detection and recognition of abnormal sounds in an indoor environment using computer auditory technology.
Xiyu Song +4 more
doaj +1 more source