Nelson, M. (2025) Closed System Greenhouse Effect Laboratory Experiment-Original Data. International Journal of Geosciences, ...
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 ...
MagNav.jl contains a full suite of tools for airborne Magnetic anomaly Navigation (MagNav), including flight path & INS data import or simulation, mapping, aeromagnetic compensation, and navigation.
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 ...
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 ...
According to André Dragosch, PhD, recent charts related to Bitcoin and macroeconomic indicators suggest potential market anomalies. These charts could indicate significant shifts in trading patterns ...
An Innovative Magnetic Anomaly Detection Method Based on Adaptive Triple-Stable Stochastic Resonance
Abstract: Magnetic anomaly detection (MAD) is a passive method for detecting magnetic targets. Stochastic resonance (SR)-based MAD is a widely utilized technique because it detects magnetic signals at ...
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