Results 121 to 130 of about 59,698 (230)

Design of HAWT Rotor for Non‐Uniform Inflow Conditions: A Theoretical and Experimental Approach for Shear Flow

Energy Science &Engineering, Volume 14, Issue 4, Page 1935-1951, April 2026.
This paper aims to provide a robust design approach for HAWTs operating in shear flow. This study fills a critical research gap by integrating BEM and vortex theories for blade design in non‐homogeneous inflow conditions. The authors of the paper made an effort to develop and test an experimentally unsophisticated model of a turbine working in shear ...
Agnieszka Dorota Woźniak, Piotr Strzelczyk, Taeseong Kim   +2 more
wiley   +1 more source

On the divergence of Lagrange interpolation processes

Journal of Numerical Analysis and Approximation Theory, 1984
Not available.
Alexandru-Ioan Mitrea
doaj   +2 more sources

Lagrange Interpolation for Mobile Agent Connection Encryption

Ibn Al-Haitham Journal for Pure and Applied Sciences, 2017
A new proposed technique for secure agent communication is used to transfer data and instructions between agent and server in the local wireless network.
H. K. Homood
doaj  

Spatial–Temporal Graph Learning for Taxi Origin–Destination Demand Prediction

Transactions on Emerging Telecommunications Technologies, Volume 37, Issue 4, April 2026.
To address the challenges of origin–destination semantic differentiation and data sparsity in taxi origin–destination demand prediction, we propose a multilevel continuous‐time dynamic node‐ based attention network (MCNAT). The results show that MCNAT outperforms the base model in all metrics.
Mingxia Huang, Bingyan Zheng, Dan Peng
wiley   +1 more source

Application of High‐Order Direct Flux Reconstruction and Stiffness‐Resilient Time Integration to Simulations of Idealized Atmospheric Flows

International Journal for Numerical Methods in Fluids, Volume 98, Issue 4, Page 448-468, April 2026.
The proposed work implements a direct flux reconstruction method for spatial discretization and a stiffness‐resilient exponential time integration method for temporal discretization on the cube‐sphere grid. A space‐time tensor formalism is employed to provide a general representation in any curvilinear coordinate system. This combination enables highly
Stéphane Gaudreault, Christopher Subich, Shoyon Panday, Martin Charron, Vincent Magnoux, Valentin Dallerit, Mayya Tokman   +6 more
wiley   +1 more source

GloMarGridding: A Python Toolkit for Flexible Spatial Interpolation in Climate Applications

Geoscience Data Journal, Volume 13, Issue 2, April 2026.
Global surface climate datasets contain structural uncertainty that is difficult to attribute to individual processing steps. We present GloMarGridding, a Python package that isolates the spatial interpolation component using Gaussian Process Regression (or kriging) to generate spatially complete fields and uncertainty estimates. The techniques used in
Richard C. Cornes, Steven C. Chan, Archie Cable, Duo Chan, Agnieszka Faulkner, Elizabeth C. Kent, Joseph T. Siddons   +6 more
wiley   +1 more source

Inverse Design for Robust Inference in Integrated Computational Spectrometry

Nanophotonics, Volume 15, Issue 7, 13 April 2026.
This work demonstrates that integrated computational spectrometers can be inverse‐designed to substantially improve noise tolerance without relying on training data or specific inference algorithms, offering an alternative to conventional end‐to‐end co‐design strategies.
Wenchao Ma, Raphaël Pestourie, Zin Lin, Steven G. Johnson   +3 more
wiley   +1 more source

A Bayesian Approach to F‐Region Mesoscale Flow Estimation With EISCAT_3D

Earth and Space Science, Volume 13, Issue 4, April 2026.
Abstract The ionospheric electric field is a key parameter for understanding ionospheric electrodynamics and the magnetosphere–ionosphere coupling. Several methods have been developed to reconstruct the two‐dimensional distribution of the ionospheric electric field from line‐of‐sight (LOS) ion velocities observed by incoherent scatter radars ...
Mizuki Fukizawa, Yasunobu Ogawa, Koji Nishimura, Genta Ueno, Takanori Nishiyama, Taishi Hashimoto, Takuo T. Tsuda   +6 more
wiley   +1 more source

Technique For Image De-blurring Using Adaptive Wavelet Lagrange Fuzzy Filter

Ibn Al-Haitham Journal for Pure and Applied Sciences, 2016
A new de-blurring technique was proposed in order to reduced or remove the blur in the images. The proposed filter was designed from the Lagrange interpolation calculation with adjusted by fuzzy rules and supported by wavelet decomposing technique.
A. F. Sabeeh
doaj  

Application of Variational Autoencoder‐Based Clustering for Geophysical Fluid Circulations With Small Sample Size

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract The variational autoencoder (VAE), a deep generative model, can extract a good feature representation for clustering from complex data; however, the use of this algorithm in the geophysical fluid circulation has been limited. The sample size for a geophysical phenomenon is generally small because of a large dimensional size, especially for ...
Kunihiro Aoki, Hideyuki Nakano, Nariaki Hirose, Norihisa Usui, Kei Sakamoto, Takahiro Toyoda, Shogo Urakawa, Yuma Kawakami   +7 more
wiley   +1 more source