Results 211 to 220 of about 11,503,776 (284)

Riverine Flood Forecasting Using Advanced Deep Learning Approaches

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 5, October 2026.
ABSTRACT Accurate riverine flood forecasting is crucial for effective river management. This paper utilized the Time‐Series Dense Encoder (TiDE), Neural Hierarchical Interpolation for Time Series Forecasting (N‐HiTS), and Patch Time Series Transformer (PatchTST) to forecast riverine flood and benchmarked their results against Long Short‐Term Memory ...
Krishna Panthi, Mostafa Saberian, Vidya Samadi   +2 more
wiley   +1 more source

Aerodynamic performance modeling method of high-altitude propellers across the entire flight envelope. [PDF]

Sci Rep
Zhang M, Jiao J, Zhang J, Zhang Z.
europepmc   +1 more source

FedLucra: Federated Learning With Loss‐Utility Controlled Robust Aggregation

Expert Systems, Volume 43, Issue 10, October 2026.
ABSTRACT Federated learning enables collaborative model training without centralizing private data. However, conventional aggregation strategies generally determine client contributions primarily according to local data volume and do not directly consider differences in local model performance. To address this limitation, we propose FedLucra, a modular
Emin Akpinar, Murat Taskiran, Bulent Bolat   +2 more
wiley   +1 more source

Numerical investigation of the hydrodynamics of a submarine with pump-jet propulsor in oblique sailing under wave-current coupling. [PDF]

Sci Rep
Li XR, Ding Y.
europepmc   +1 more source

Forecasting and Explaining Ethanol Price Through Shapley Additive Explanations: Evidence From Two Decades of Panel Agroeconomic Data in Brazil

GCB Bioenergy, Volume 18, Issue 10, October 2026.
Explainable AI reveals how biological feedstock quality, energy markets, and policy factors jointly shape ethanol price dynamics. Deep learning improves forecasting accuracy while identifying sugarcane quality (TRS), gasoline prices, taxation, and macroeconomic variables as key drivers in a major bioenergy system.
Marilaine Colnago, Lucas A. B. de Matos, José Nuno Fidalgo, Rogério G. Negri, Wallace Casaca   +4 more
wiley   +1 more source

Resistance and propulsion performance of a twin skeg ship with different rudder angle. [PDF]

Sci Rep
Weimin C, Yongyue L, Lei X, Li Z, Xing C.   +4 more
europepmc   +1 more source

Optimized Schwarz Methods in Spherical Geometry with an Overset Grid System

, 2007
Jean Côté, Martin J. Gander, Lahcen Laayouni, Abdessamad Qaddouri   +3 more
openaire   +2 more sources

Beyond the Border Wars: Representation, Scale, and Multi‐Member Districts

Geographical Analysis, Volume 58, Issue 4, October 2026.
ABSTRACT Proposed redistricting reforms often focus on fixing gerrymandered maps or restructuring elections to boost proportionality. Recent work shows that, averaged across all 50 states, multi‐member districts paired with proportional ranked‐choice voting can deliver near‐proportional outcomes while curbing the gains available to a partisan map ...
Christopher S. Fowler, Linda L. Fowler
wiley   +1 more source

Numerical Simulation on Self-Propulsion Characteristics of Bionic Flexible Foil Considering Ground Wall Effect. [PDF]

Biomimetics (Basel)
Li Y, Zhang N, Tang X, Pan Z, Xu P.
europepmc   +1 more source

Navigating Supply Shocks: Sector Resilience and Production Prices Through Stochastic Input–Output Modeling

Mathematical Finance, Volume 36, Issue 4, Page 826-845, October 2026.
ABSTRACT This study develops a novel multivariate stochastic framework for assessing systemic risks, such as climate and nature‐related shocks, within production or financial networks. By embedding a linear stochastic fluid network, interpretable as a generalized vector Ornstein–Uhlenbeck process, into the production network of interdependent ...
Giovanni Amici, Gianluca Fusai, Anna Maria Gambaro, Daniele Marazzina   +3 more
wiley   +1 more source