Citation: Priyanga Dilini Talagala, Rob J. Hyndman (2025). CRAN Task View: Anomaly Detection with R. Version 2025-03-15. This CRAN Task View provides a comprehensive list of R packages for anomaly ...
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To address this, we implemented an isolation forest (IF) algorithm for anomaly detection and model recalibration. The study shows that combining data-driven and model-based methods can enhance fault ...
DLAAD-deep learning algorithms assisted diagnosis of chest disease using radiographic medical images
Chest imaging diagnostics for pneumonia detection are subject to variability based on interpretation ... Using a single institutional dataset, DL systems can identify certain anomalies in chest X-rays ...
Objective To evaluate the feasibility of three-dimensional (3D) printing models of coronary artery anomalies based on cardiac CT data ... management and prognosis. The detection of coronary ...
Working at nanoscale dimensions, a team of scientists led by the Department of Energy's Oak Ridge National Laboratory revealed a new way to measure high-speed fluctuations in magnetic materials.
Abstract: Magnetic anomaly detection (MAD) is an effective technique for detecting ferromagnetic materials in the presence of the geomagnetic field. In this paper, by integrating and enhancing the ...
The site was selected to avoid magnetic anomalies that could disrupt operations of some instruments. The landing location also has few rocks on or below the surface that could prevent one ...
Shallow water environments like the Taiwan Strait reduce the effectiveness of traditional sonar systems, while technologies such as Magnetic Anomaly Detection (MAD) introduce new detection ...
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