Results 301 to 310 of about 5,378,381 (364)

Anomaly detection in smart power grids with graph-regularized MS-SVDD: a multimodal subspace learning approach. [PDF]

Sci Rep
Debelle T, Sohrab F, Abrahamsson P, Gabbouj M.   +3 more
europepmc   +1 more source

Anomaly detection of fermi surface morphology in Co2MnGaxGe1-x via interpretable machine learning. [PDF]

Sci Rep
Ishikawa D, Fuku K, Miura Y, Igarashi Y, Iwasaki Y, Sakuraba Y, Yaji K, Foggiatto AL, Yamazaki T, Nagamura N, Kotsugi M.   +10 more
europepmc   +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

Optimization of hospital resource scheduling efficiency based on dynamic weighted distance anomaly detection algorithm. [PDF]

Sci Rep
Liu Y, Mai L, Huang F, Zeng Z.
europepmc   +1 more source

Modular, On-Site Solutions with Lightweight Anomaly Detection for Sustainable Nutrient Management in Agriculture. [PDF]

ACS ES T Eng
Cohen AR, Sun Y, Qin Z, Muriki HS, Xiao Z, Lee Y, Housley M, Sharkey AF, Ferrarezi RS, Li J, Gan L, Chen Y.   +11 more
europepmc   +1 more source

Anomaly-Detection-Driven Screening of Thermodynamic Stability from Composition Descriptors Alone. [PDF]

J Phys Chem Lett
Makino K, Yamaguchi Y, Tanibata N, Takeda H, Kobayashi R, Karasuyama M, Nakayama M.   +6 more
europepmc   +1 more source

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Anomaly detection

ACM Computing Surveys, 2009
Anomaly detection is an important problem that has been researched within diverse research areas and application domains. Many anomaly detection techniques have been specifically developed for certain application domains, while others are more generic.
Varun Chandola, Arindam Banerjee, Vipin Kumar   +2 more
exaly   +3 more sources