Results 191 to 200 of about 352,249 (316)

Construction and evaluation of an anomaly detection system using System Invariant Analysis Technology(SIAT) for sound data

, 2023
Tomoya Soma, Akiko Sasaki
openalex   +2 more sources

Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics

Advanced Science, EarlyView.
Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma, Ting‐Ting Gao, Wei Cui, Attilio Frangi, Gang Yan, Lin Zhao   +5 more
wiley   +1 more source

Climate Action Impacts on Steelmaking Emissions of Persistent Organic Pollutants Highlight a Gap Between the Paris Agreement and the Stockholm Convention

Advanced Science, EarlyView.
Emissions of unintentionally produced persistent organic pollutants (UPOPs) and global warming are two major environmental challenges. But their governance has largely evolved in parallel, leaving the toxicity implications of climate‐driven industrial transitions poorly understood.
Yuxiang Sun, Qiuting Yang, Jianghui Yun, Yujue Yang, Junhao Tang, Qian Liu, Minghui Zheng, Guorui Liu   +7 more
wiley   +1 more source

Anomaly detection of hyperspectral images based on improved isolation forest algorithm. [PDF]

Sci Rep
Li A.
europepmc   +1 more source

Functional Mapping of Neurodevelopmental Disease Pathways to Key Neurodevelopmental Processes Represented in the Developmental Neurotoxicity In Vitro Testing Battery

Advanced Science, EarlyView.
Human‐relevant methods are essential for modern chemical safety assessment. This study helps define the capabilities and boundaries of an in vitro testing battery for developmental neurotoxicity by exploring its biological applicability domain. By linking neurodevelopmental disease‐related pathways to key neurodevelopmental processes, the work enhances
Eliska Kuchovska, Kristina Bartmann, Georgea Raad, Mats Schade, Luiz Ladeira, Arif Dönmez, Jördis Klose, Nicolai Görts, Denis Polozij, Lynn‐Christin Saborowski, Farina Bendt, Bernard Staumont, Liesbet Geris, Katharina Koch, Ellen Fritsche   +14 more
wiley   +1 more source

Intelligent monitoring and anomaly detection for power service processes based on spatiotemporal attention mechanism. [PDF]

Sci Rep
Lin N, Wen X, Wu J, Huang X, Wen H.
europepmc   +1 more source

An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process [PDF]

, 2018
Yuanzhi Huang, Eamonn Ahearne, Szymon Baron, Andrew Parnell   +3 more
openalex   +1 more source

T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities

Advanced Science, EarlyView.
T cell exhaustion limits immunotherapy efficacy. This article delineates its progression from stem‐like to terminally exhausted states, governed by persistent antigen, transcription factors, epigenetics, and metabolism. It maps the exhaustion landscape in the TME and proposes integrated reversal strategies, providing a translational roadmap to overcome
Yang Yu, Xiaoyu Yao, Qingyang Wang, Mengrui Yang, Runze Li, Jiangjiang Qin, Jing Zhuang, Changgang Sun   +7 more
wiley   +1 more source

A Visual Dataset for Anomaly Detection in Self-Driving Laboratories. [PDF]

Sci Data
Lin S, Chen Z, Jia X, Wang Y, Wang C, Zhang S, Ding X, Du B, Ding W, Liu H.   +9 more
europepmc   +1 more source

Machine learning for time series anomaly detection

, 2019
Ihssan. Tinawi
openalex   +1 more source