Results 71 to 80 of about 169 (137)

Adaptive and Robust Control of Diamond Quantum Sensors via Meta‐Learning

open access: yesAdvanced Quantum Technologies, Volume 9, Issue 8, August 2026.
Quantum Meta‐Learning: Meta‐learning frameworks address pulse transferability in NV‐center quantum sensing. By training on diverse tasks that simulate experimental variations, robust surrogate models are created that rapidly adapt to new scenarios without extensive recalibration.
Isabell Jauch   +5 more
wiley   +1 more source

iS‐GNN: Interpolation of Crustal Stress Maps Using a Graph Neural Network Model

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Estimating the orientation of the maximum horizontal stress (SHmax) from sparse and unevenly distributed geophysical observations remains a persistent challenge in tectonic and geomechanical stress studies. Classical interpolation methods often neglect the multiscale tectonic–geological heterogeneity of the crust, leading to biased estimates ...
Kwame A. Gyamfi, Michele M. C. Carafa
wiley   +1 more source

Sex, drugs, and arousal-two randomized trials on the effects of ketamine on sexual arousal and calcarine gyrus activity. [PDF]

open access: yesTher Adv Psychopharmacol
Klöbl M   +13 more
europepmc   +1 more source

Spatial Dependence of High‐Frequency Ground Motion Along the Chilean Subduction Zone From Aftershock Sequences of the Mw 8.8 Maule and Mw 8.2 Iquique Earthquakes

open access: yesEarth and Space Science, Volume 13, Issue 8, August 2026.
Abstract The Chilean subduction zone is a highly active seismic region, producing megathrust earthquakes approximately every decade. We apply a stochastic approach to assess spatial variations in seismic wave characteristics along the Chilean trench using weak motion data.
Asiye Aziz Zanjani, Robert B. Herrmann
wiley   +1 more source

Smoothing level selection for density estimators based on the moments. [PDF]

open access: yesJ Appl Stat
García-Fernández RM   +1 more
europepmc   +1 more source

Supervised Machine Learning Approach to Iron Meteorite Classification Using Random Forest: A Predictive Model to Classify Ungrouped Irons

open access: yesEarth and Space Science, Volume 13, Issue 8, August 2026.
Abstract Iron meteorites provide insight into the formation processes of planetary cores from the early Solar System. Through further classifying individual irons into specific groups, which are assumed to represent a common parent body, greater information can be yielded into the formation processes of those bodies.
A. F. Rogers   +4 more
wiley   +1 more source

Supervised machine learning intrusion detection review and multi-criteria evaluation. [PDF]

open access: yesSci Rep
Abu-Shareha AA   +5 more
europepmc   +1 more source

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