Results 161 to 170 of about 95,620 (293)
A Novel Deep Learning Approach for TEC Map Completion Using Image Equation‐Guided Loss
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.Abstract This study introduces the Image Equation Mechanism‐Completion Generative Adversarial Network (IEM‐CGAN), a groundbreaking deep learning framework that revolutionizes the reconstruction of large‐scale global ionospheric total electron content (TEC) maps.
Qingfeng Li +6 more
wiley +1 more source
An efficient technique based on the HAM with Green's function for a class of nonlocal elliptic boundary value problems [PDF]
, 2021 Randhir Singh
openalex +1 more source
Predicting animal movement with deepSSF: A deep learning step selection framework
Methods in Ecology and Evolution, Volume 17, Issue 2, Page 371-391, February 2026.Abstract Predictions of animal movement are vital for understanding and managing wild populations. However, the fine‐scale, complex decision‐making of animals can pose challenges for the accurate prediction of trajectories. Integrated step selection functions (iSSFs), a common tool for inferring relationships between animal movement and the environment,
Scott W. Forrest +6 more
wiley +1 more source
Optimal Energy Decay for a Transmission Problem of Waves Under a Nonlocal Boundary Control [PDF]
, 2019 Halim Atoui, Abbès Benaissa
openalex +1 more source
A complex network perspective on brain disease
Biological Reviews, Volume 101, Issue 1, Page 364-399, February 2026.ABSTRACT If brain anatomy and dynamics have a complex network structure as it has become standard to posit, it is reasonable to assume that such a structure should play a key role not only in brain function but also in brain dysfunction. However, exactly how network structure is implicated in brain damage and whether at least some pathologies can be ...
David Papo, Javier M. Buldú
wiley +1 more source
AIMNet2‐NSE: A Transferable Reactive Neural Network Potential for Open‐Shell Chemistry
Angewandte Chemie, Volume 138, Issue 5, 28 January 2026.AIMNet2‐NSE enables accurate modeling of open‐shell radical chemistry through neural spin‐charge equilibration (NSE). This machine learning interatomic potential predicts radical reaction energies, barriers, and spin‐crossing events with near‐DFT accuracy while offering five orders of magnitude computational speedup, making high‐throughput exploration ...
Bhupalee Kalita +7 more
wiley +2 more sources
Conservation Science and Practice, Volume 8, Issue 2, February 2026.Abstract Tourist visits to protected areas (PAs) are a widely promoted, yet largely untested, approach to achieve forest conservation and socioeconomic development. We assessed the impacts of annual tourist visits to 40 Madagascar PAs over 20 years on local deforestation in and around PA boundaries, using a two‐way fixed effects approach to control for
Camille M. M. DeSisto +3 more
wiley +1 more source
Optimal Solutions to Relaxation in Multiple Control Problems of Sobolev Type with Nonlocal Nonlinear Fractional Differential Equations [PDF]
, 2015 Amar Debbouche +2 more
openalex +1 more source
Models in Decision‐Making Under Risk and Uncertainty
Journal of Economic Surveys, Volume 40, Issue 1, Page 304-320, February 2026.ABSTRACT This paper systematically compares dominant frameworks for modeling decision‐making under risk and uncertainty, evaluating their theoretical trade‐offs and practical relevance for economic research. We establish key criteria for model selection—including predictive accuracy, descriptive realism, computational tractability, and ecological ...
Martin Höppner
wiley +1 more source