Results 251 to 260 of about 3,234,615 (293)

Review of Machine Learning for Single-Particle Tracking: Methods, Challenges, and Biophysical Insights. [PDF]

Chem Biomed Imaging
Zhang C, Liu R, Ding Z, Lu P, Tian W, Zhao Y, He J, Hou S.   +7 more
europepmc   +1 more source

Spatiotemporal Anomaly Detection in Distributed Acoustic Sensing Using a GraphDiffusion Model. [PDF]

Sensors (Basel)
Jeong S, Kim H, Kim YH, Park CS, Jung H, Kim HK.   +5 more
europepmc   +1 more source

ZuraNet: a hybrid rule-based intrusion detection system with deep learning for securing SCADA-driven cyber-physical systems. [PDF]

Sci Rep
Sridevi K, Masood W, Tanveer S, Mirza OM, Sivakumar NR, Selvarajan S.   +5 more
europepmc   +1 more source

Size Sound Symbolism Modulates Linguistic Processing: An ERP Study. [PDF]

Psychophysiology
Glim S, Rummer R.
europepmc   +1 more source

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An anomalous sound detection methodology for predictive maintenance

Expert Systems With Applications, 2022
In the last decade, Anomalous Sound Detection (ASD) is becoming an increasingly challenging task for a plethora of applications due to the widespread diffusion of Deep Neural Networks. Nevertheless, the arise of recent cyber–physical attacks (i.e. Triton or Stuxnet), that deceive monitoring platforms, pose novel and challenging issues. For this reason,
Antonio Galli, Vincenzo Moscato, Giancarlo Sperli   +2 more
exaly   +4 more sources

Sub-Cluster AdaCos: Learning Representations for Anomalous Sound Detection [PDF]

2021 International Joint Conference on Neural Networks (IJCNN), 2021
When training a model for anomalous sound detection, one usually needs to estimate the underlying distribution of the normal data. By doing so, anomalous data has a lower probability in view of this distribution than normal data and thus can easily be detected.
Wilkinghoff, Kevin
core   +4 more sources

Anomalous sound detection using sound image and CTF-bilateral filter

Neurocomputing
Jiyu Lu
exaly   +3 more sources

Deep Recurrent Interpolation Networks for Anomalous Sound Detection

2021 International Joint Conference on Neural Networks (IJCNN), 2021
An anomalous sound detection (ASD) system detects substantial deviations from the norm and reports the degree of abnormality through an anomaly score. An important application scenario is the detection of malfunctions in factory machinery. Recent approaches train autoencoders on small segments of the sound's time-frequency representation and use the ...
Robert Müller 0005, Steffen Illium, Claudia Linnhoff-Popien   +2 more
openaire   +2 more sources

Anomalous Sound Event Detection Based on WaveNet

2018 26th European Signal Processing Conference (EUSIPCO), 2018
This paper proposes a new method of anomalous sound event detection for use in public spaces. The proposed method utilizes WaveNet, a generative model based on a convolutional neural network, to model in the time domain the various acoustic patterns which occur in public spaces.
Tomoki Hayashi, Tatsuya Komatsu, Reishi Kondo, Tomoki Toda, Kazuya Takeda   +4 more
openaire   +1 more source

Hyperbolic Unsupervised Anomalous Sound Detection

2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2023
François G. Germain, Gordon Wichern, Jonathan Le Roux   +2 more
openaire   +2 more sources