Results 181 to 190 of about 3,220 (254)

Integrating 2D Dermatological Photography with 3D Anatomical Surfaces. [PDF]

Proc SPIE Int Soc Opt Eng
Jiang B, Liu Y, McNeil AJ, Cho C, Saknite I, Pavletic SZ, Cowen EW, Weiss R, Landman BA, Dawant BM, Tkaczyk ER.   +10 more
europepmc   +1 more source

Nonlinear Kinematic Depth Inversion Coupled With a Spectral Wave Model

Journal of Geophysical Research: Oceans, Volume 131, Issue 8, August 2026.
Abstract We present a bidirectional coupling between a nonlinear kinematic depth inversion method and a phase‐averaged spectral wave model to evaluate the influence of wave nonlinearity over gently sloping nearshore bathymetry. Time‐resolved wave imagery provides spatially varying frequency–wavenumber fields, whereas the simulated significant wave ...
Byunguk Kim, Yong Sung Park, Hyoseob Noh, Seungjun Baek, Juyeong Hur   +4 more
wiley   +1 more source

GEORCE: a fast new control algorithm for computing geodesics. [PDF]

Inf Geom
Rygaard FM, Hauberg S.
europepmc   +1 more source

Fine‐Tuning a Weather Foundation Model With Lightweight Decoders for Unseen Physical Processes

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Recent advances in AI weather forecasting have led to the emergence of so‐called “foundation models”, typically defined by expensive pretraining and minimal fine‐tuning for downstream tasks. However, in the natural sciences, a desirable foundation model should also encode meaningful statistical relationships between the underlying physical ...
Fanny Lehmann, Firat Ozdemir, Benedikt Soja, Torsten Hoefler, Siddhartha Mishra, Sebastian Schemm   +5 more
wiley   +1 more source

Isometries of Spacetimes Without Observer Horizons. [PDF]

Commun Math Phys
García-Heveling L, Zeghib A.
europepmc   +1 more source

SlideDetect: Spatio‐Temporal Landslide Detection Using a Three‐Dimensional Convolutional Neural Network

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Landslides pose a serious and ongoing threat to both human lives and infrastructure worldwide; therefore, it is of interest to predict where and when landslides are likely to occur. Advances in machine learning techniques have spurred numerous studies aimed at estimating relative landslide propensity, but are limited to spatial (as opposed to ...
Max Sutton, Ben Mirus, George Hilley
wiley   +1 more source

Bio-Inspired Motion-Contour-Guided Visual System for Contrast-Independent Looming Perception. [PDF]

Biomimetics (Basel)
Yao J, Zhang J, Zhong Z, He H, Wang H.
europepmc   +1 more source

Automated Mineral Identification and Rock‐Type Classification of Lunar Mare Basalts Using SEM Images

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract We present an automated system for identifying minerals and classifying rock types in Apollo lunar mare basalts using scanning electron microscopy (SEM) imagery. Mineral segmentation is based on a U‐Net architecture, supplemented by two scale‐aware models designed to incorporate pixel size information.
Ji‐In Jung, Sonia M. Tikoo, Jaehong Chung, Claire I. O. Nichols   +3 more
wiley   +1 more source

Local expansion mechanisms for quantum-scale wormholes. [PDF]

Sci Rep
Dorau P, Much A.
europepmc   +1 more source

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

Journal 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