Results 61 to 70 of about 25,858 (137)
Wind Energy, Volume 29, Issue 2, February 2026.ABSTRACT The focus on wind power frequency regulation has largely been on individual wind farms, which presents challenges in meeting the coordinated operation needs of multiple stations within large‐scale installations. To address issues of model simplification and accuracy, we propose a large‐scale wind farm equivalent modeling method based on ...
Hongchun Shu +4 more
wiley +1 more source
A Logical Modeling of Severe Ignorance. [PDF]
J Philos Logic, 2023 Bonzio S +3 more
europepmc +1 more source
Differentiable River Routing for End‐to‐End Learning of Hydrological Processes
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.Abstract Deep Learning (DL) approaches have shown high accuracy in rainfall runoff modeling. Currently, however, large‐scale DL hydrological simulations at national and global scales still rely on external routing schemes to propagate runoff outputs through river networks, preventing them from leveraging the benefits of end‐to‐end learning of ...
Tristan Hascoet +3 more
wiley +1 more source
Algebras, Graphs and Ordered Sets - ALGOS 2020 & the Mathematical Contributions of Maurice Pouzet. [PDF]
Order (Dordr), 2023 Couceiro M, Duffus D.
europepmc +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
School Science and Mathematics, Volume 126, Issue 1, Page 9-23, February 2026.Abstract This study addresses the need for research that incorporates educational perspectives and theories to understand the impact of Artificial Intelligence (AI) on learning and teaching. Utilizing AI‐integrated mathematical problem‐posing (AIM) activities and the AI‐powered scaffolding (AIS) strategy, the research investigated preservice teachers’ (
Young Rae Kim, Mi Sun Park, Eunmi Joung
wiley +1 more source
Systems of Precision: Coherent Probabilities on Pre-Dynkin Systems and Coherent Previsions on Linear Subspaces. [PDF]
Entropy (Basel), 2023 Derr R, Williamson RC.
europepmc +1 more source
Cazenave‐Dickstein‐Weissler‐Type Extension of Fujita'S Problem on Heisenberg Groups
Mathematical Methods in the Applied Sciences, Volume 49, Issue 2, Page 499-511, 30 January 2026.ABSTRACT This paper investigates the Fujita critical exponent for a heat equation with nonlinear memory posed on the Heisenberg groups. A sharp threshold is identified such that, for exponent values less than or equal to this critical value, no global solution exists, regardless of the choice of nonnegative initial data. Conversely, for exponent values
Mokhtar Kirane +3 more
wiley +1 more source
Postulating the Unicity of the Macroscopic Physical World. [PDF]
Entropy (Basel), 2023 Van Den Bossche M, Grangier P.
europepmc +1 more source
On Multilevel Energy‐Based Fragmentation Methods
International Journal of Quantum Chemistry, Volume 126, Issue 3, January 30, 2026.We investigate the working equations of energy‐based fragmentation methods and present ML‐SUPANOVA, a Möbius‐inversion‐based multilevel fragmentation scheme that enables adaptive, quasi‐optimal truncations to efficiently approximate Born‐Oppenheimer potentials across hierarchies of electronic‐structure methods and basis sets.
James Barker +2 more
wiley +1 more source