Results 261 to 270 of about 50,402 (312)

Large Language Models as Calibration Agents in Hydrological Modeling: Feasibility and Limitations

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Large language models (LLMs) represent the forefront of artificial intelligence, exhibiting substantial potential for advancing understanding and reasoning in complex Earth system sciences. Hydrological modeling, essential for water resource management and Earth system knowledge, predominantly relies on traditional calibration paradigms and ...
Zhanliang Zhu, Yehai Tang, Xiongpeng Tang, Jianyun Zhang, Chao Gao, Silong Zhang, Haoting Xu, Tiesheng Guan   +7 more
wiley   +1 more source

Building retrofit multiobjective optimization using neural networks and genetic algorithm three for energy carbon and comfort. [PDF]

Sci Rep
Duan Z, Li B, Zi Y, Yao G.
europepmc   +1 more source

Assessing Future Changes in Daily Precipitation Extremes Across the Contiguous United States with the Extended Generalized Pareto Distribution

J. S. Nanditha, Gabriele Villarini, Philippe Naveau   +2 more
openalex   +1 more source

Modeling Uncertainty With Engression: A Deep Generative Time‐Series Approach

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Deep learning enables precise environmental predictions across spatial and temporal scales. However, reliable uncertainty estimation with generative capabilities remains crucial for actionable forecasting and simulation, yet robust quantification methods remain challenging.
Basil Kraft, Steven Stalder, William H. Aeberhard, Nicolás Harrington Ruiz, Nicolai Meinshausen, Xinwei Shen, Lukas Gudmundsson   +6 more
wiley   +1 more source

Multi-objective dung beetle optimization algorithm: A novel algorithm for solving complex multi-objective optimization problems. [PDF]

PLoS One
Wu W, Tian L, Wu J, Lin L.
europepmc   +1 more source

One‐Dimensional Finite Elements With Arbitrary Cross‐Sectional Displacement Fields

International Journal for Numerical Methods in Engineering, Volume 127, Issue 1, 15 January 2026.
ABSTRACT This paper introduces an unprecedented unified approach for developing structural theories with an arbitrary kinematic variable over the beam cross‐section. Each of the three displacement variables can be analyzed using an independent expansion function. Both the order of the expansion and the number of terms in each field can be any. That is,
E. Carrera, D. Scano, E. Zappino
wiley   +1 more source

Using Extreme Value Statistics to Reconceptualize Psychopathology as Extreme Deviations From a Normative Reference Model. [PDF]

Hum Brain Mapp
Fraza C, Zabihi M, Beckmann CF, Marquand AF.   +3 more
europepmc   +1 more source

THE GENERALIZED WEIBULL PARETO DISTRIBUTION; ITS PROPERTIES AND APPLICATION

, 2017
Abdulnasir Isah, Shu’aibu Bala
openalex   +1 more source

Distributions conditioned on extrapolated events via copula and extreme value theory. [PDF]

MethodsX
Chen Z, Johnsson C, D'Agostino C.
europepmc   +1 more source

Prediction of the Extreme Dynamic Amplification Factor Based on Bayesian Peaks-Over-Threshold–Generalized Pareto Distribution Method and Random Traffic–Bridge Interaction

Wasyhun Afework Kechine, Bin Wang, Cuipeng Xia, Yongle Li   +3 more
openalex   +1 more source