Results 121 to 130 of about 20,766 (186)

Interpretable Machine Learning: A Comprehensive Review of Foundations, Methods, and the Path Forward

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This systematic review of 352 studies establishes a comprehensive taxonomy for Interpretable Machine Learning, transitioning from foundational intrinsic models to advanced deep learning explanations. It reveals a critical paradigm shift toward “mechanistic interpretability” and actionable recourse, emphasizing that future AI systems must be rigorously ...
Shimon Fridkin, Michael Bendersky
wiley   +1 more source

A Simplified Ordinary Differential Equation for the Surface Temperature of Airless Bodies

open access: yesEarth and Space Science, Volume 13, Issue 3, March 2026.
Abstract In this work, we develop simplified surface temperature models for spherical bodies with insignificant atmospheres, able to produce a latitude/longitude temperature map that includes seasonality effects. We start from the commonly employed depth‐dependent model by Spencer et al. (1989, https://doi.org/10.1016/0019‐1035(89)90182‐6) based on the
Stefano Boccelli   +2 more
wiley   +1 more source

Fourier Neural Operator for Moonquake Detection

open access: yesEarth and Space Science, Volume 13, Issue 3, March 2026.
Abstract Moonquakes provide critical observations for probing the lunar interior, yet their analysis is hindered by the limited number of recordings and their inherently low signal‐to‐noise ratio (S/N). Conventional detection methods such as Short‐Term Average/Long‐Term Average (STA/LTA) perform poorly on lunar data, while standard deep learning models
Basem Al‐Qadasi, Umair Bin Waheed
wiley   +1 more source

A Thermodynamic Framework for Turing‐Type Instabilities in Porous Media: Part I Theory

open access: yesGeochemistry, Geophysics, Geosystems, Volume 27, Issue 3, March 2026.
Abstract Pattern formation in geological materials is commonly described using analogies to Turing‐type reaction–diffusion systems, yet a unifying thermodynamic explanation remains elusive. Here we develop a multiscale, thermodynamically consistent framework for pattern‐forming instabilities in porous media undergoing coupled thermo–hydro–mechanical ...
Klaus Regenauer‐Lieb   +5 more
wiley   +1 more source

Characterizing the Signals and Backgrounds in a Low Earth Orbiting Cherenkov Detector, and Background Mitigation Strategies

open access: yesJournal of Geophysical Research: Space Physics, Volume 131, Issue 3, March 2026.
Abstract Cherenkov detectors have been used in space for decades to measure Galactic Cosmic Rays (GCRs), Solar Energetic Particles (SEPs) and trapped particles. We present proof‐of‐concept GRAS/Geant4 simulations to both show that a cubic fused silica Cherenkov detector with SiPM in LEO has a good sensitivity to SEP and GCR protons as a function of cut‐
C. S. W. Davis   +6 more
wiley   +1 more source

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