Results 111 to 120 of about 14,765 (135)

Machine Learning‐Based Analysis of Atmospheric Process Sensitivity to Land Surface Properties Over Complex Terrain

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 9, 16 May 2026.
Abstract This study investigates the sensitivity of numerical simulations of atmospheric processes over complex terrain to land surface model (LSM) parameters, focusing on thermally driven circulations in an idealized valley. The sensitivity analysis is performed using the Weather Research and Forecasting model coupled with the Noah‐MP LSM, for forest ...
Dario Di Santo, Cenlin He, Fei Chen, Andrea Zonato, Lorenzo Giovannini   +4 more
wiley   +1 more source

Symbol‐Level GRAND‐Assisted Detection for Polar‐Coded Spatial Modulation in MIMO Systems

International Journal of Communication Systems, Volume 39, Issue 7, 10 May 2026.
This research presents an integrated polar‐coded spatial modulation (PCSM) transceiver scheme for MIMO transmission over Rayleigh fading channels. The proposed architecture employs linear spatial signal processing for antenna and symbol estimation, followed by symbol‐level guessing random additive noise decoding (symbol‐level GRAND)–assisted detection ...
Abhilasha Gautam, Prabhat Thakur, Ghanshyam Singh   +2 more
wiley   +1 more source

Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling

Advanced Healthcare Materials, Volume 15, Issue 17, 8 May 2026.
Emerging advances in three‐dimensional bioprinting and computational modeling are reshaping cardiovascular (CV) research by enabling more realistic, patient‐specific tissue platforms. This review surveys cutting‐edge approaches that merge biomimetic CV constructs with computational simulations to overcome the limitations of traditional models, improve ...
Tanmay Mukherjee, Mehdi Salar Amoli, Sarah Rezapourdamanab, Lama Rita El Shammas, Martin L. Tomov, Emilio A. Mendiola, Vahid Serpooshan, Reza Avazmohammadi   +7 more
wiley   +1 more source

A Comprehensive Review of Traditional and Machine Learning‐Assisted Diffuse Optical Spectroscopy and Imaging Techniques for Dermatological Applications

Advanced Photonics Research, Volume 7, Issue 5, May 2026.
This review critically examines clinical studies on both conventional and machine learning (ML)‐integrated diffuse optical spectroscopy and imaging methods for dermatological applications, with a primary focus on the past decade and inclusion of earlier foundational work where appropriate.
Iftak Hussain, Li Xiuting, Randall Ang Jie, Keertana Vinod Ram, Mark Teo Ju Teng, Valerie Xinhui Teo, Malini Olivo, U. S. Dinish   +7 more
wiley   +1 more source

Solving some elementary geometrical problems by Euclidean geometry’s methods

Dong Thap University Journal of Science, 2023
The article introduces a method of exploiting the Euclidian geometry to find solutions for elementary geometry problems. By analyzing some special coordinates in the solution, we will detect some extra points or lines to help solve elementary problems.
Thi Thanh Loan Nguyen, Le Nam Tran, Thi Hiep Phan   +2 more
openaire   +1 more source

Discontinuous Normals in Non-Euclidean Geometries and Two-Dimensional Gravity

Symmetry, 2022
Emmanuele Battista, Giampiero Esposito
exaly  

Generalized Thomson problem in arbitrary dimensions and non-euclidean geometries

Physica A: Statistical Mechanics and Its Applications, 2016
Josep Batle, Armen G Bagdasaryan, Mahmoud Abdel-Aty   +2 more
exaly  

High Performance Non-Binary Quasi-Cyclic LDPC Codes on Euclidean Geometries LDPC Codes on Euclidean Geometries

IEEE Transactions on Communications, 2009
Zhi Ding
exaly  

Non-euclidean geometries: the Cayley-Klein approach

Journal of Geometry, 2010
Horst Struve, Rolf Struve
exaly  

Nonlinear operators in Euclidean spaces: an elementary ‘users guide’ for economists

Mathematical Social Sciences, 1990
Antonio Villar
exaly