The core idea of prediction-based anomaly detection is to identify anomalies by constructing a prediction model and comparing predicted and observed values. However, most existing traffic flow prediction models primarily focus on spatio-temporal features,
Xianguang Jia +5 more
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Let's estimate all parameters as probabilities: Precise estimation using Chebyshev's inequality, Bernoulli distribution, and Monte Carlo simulations [PDF]
Lubomír Štěpánek +3 more
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The high cost of wind turbine maintenance has intensified the need for reliable fault detection and condition monitoring methods. While Supervisory Control and Data Acquisition (SCADA) systems provide valuable operational data, the raw signals often ...
Krzysztof Kijanowski +2 more
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Empirical Inferences Under Bayesian Framework to Identify Cellwise Outliers
Outliers are typically identified using frequentist methods. The data are classified as “outliers” or “not outliers” based on a test statistic that measures the magnitude of the difference between a value and the majority part of the data.
Luca Sartore, Lu Chen, Valbona Bejleri
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Upscaling between an agent-based model (smoothed particle approach) and a continuum-based model for skin contractions. [PDF]
Peng Q, Vermolen FJ.
europepmc +1 more source
On singular values of large dimensional lag-τ sample auto-correlation matrices. [PDF]
Long Z, Li Z, Lin R, Qiu J.
europepmc +1 more source
On free energy barriers in Gaussian priors and failure of cold start MCMC for high-dimensional unimodal distributions. [PDF]
Bandeira AS +3 more
europepmc +1 more source
Modeling and analysis of stochastic quantum magnetohydrodynamics equations with energy estimates. [PDF]
Divyabala K, Durga N.
europepmc +1 more source
Time-of-Flow Distributions in Discrete Quantum Systems: From Operational Protocols to Quantum Speed Limits. [PDF]
Beau M.
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Pseudorandom Hashing for Space-bounded Computation with Applications in Streaming. [PDF]
Kacham P, Pagh R, Thorup M, Woodruff DP.
europepmc +1 more source

