Results 211 to 220 of about 39,047 (336)

Gpu, Model, Execution Time, Stencils, In-Plane, Cuda.

, 2016
Xiomara Ribero Figueroa
openalex   +1 more source

Fourier Neural Operator for Moonquake Detection

Earth and Space Science, Volume 13, Issue 3, March 2026.
Abstract Moonquakes provide critical observations for probing the lunar interior, yet their analysis is hindered by the limited number of recordings and their inherently low signal‐to‐noise ratio (S/N). Conventional detection methods such as Short‐Term Average/Long‐Term Average (STA/LTA) perform poorly on lunar data, while standard deep learning models
Basem Al‐Qadasi, Umair Bin Waheed
wiley   +1 more source

Blind Image Quality Assessment Using Convolutional Neural Networks. [PDF]

Sensors (Basel)
Frackiewicz M, Palus H, Trojanowski W.
europepmc   +1 more source

Corrigendum to "Isotopic insights from carpological remains: One of the first datasets for the Italian Bronze age" [Data in brief 57 (2024) 111000]. [PDF]

Data Brief
Cortese F, De Angelis F, Bontempo L, Carrara N, Cuda MT, Longa ED, Cecchi IM, Sarti L, Silvestri L, Rickards O, Rolfo MF.   +10 more
europepmc   +1 more source

Parallelization of the Algorithm WHAM with NVIDIA CUDA [PDF]

, 2014
Nicoló Savioli
openalex  

Multichannel Wavefield Reconstruction With Physics‐Informed Neural Networks and Transfer Learning

Geophysical Prospecting, Volume 74, Issue 3, March 2026.
ABSTRACT Multi‐component seismic data contain rich information essential for accurate subsurface imaging, but they are often sparse due to acquisition limitations and include noise. Robust interpolation techniques are therefore crucial to reconstruct missing traces and preserve wavefield integrity for reliable analysis and inversion. Thus, we propose a
Francesco Brandolin, Matteo Ravasi, Tariq Alkhalifah   +2 more
wiley   +1 more source

Investigating the Immune Effects of Radiotherapy in Non-Small Cell Lung Cancer-Results of the PD-RAD Study. [PDF]

Oncol Res
Cheng S, Kordbacheh T, Banyard A, Chaturvedi A, Sanchez Martinez D, Hiley CT, Harris M, Chan C, Faivre-Finn C, Illidge TM, Cheadle EJ.   +10 more
europepmc   +1 more source

CUDA Implementation of the Shchepetkin Density-Jacobian Pressure Gradient Scheme for ROMS

Pavel Munshi Alam
openalex   +1 more source

Algorithmic Bias in BERT for Response Accuracy Prediction: A Case Study for Investigating Population Validity

Journal of Educational Measurement, Volume 63, Issue 1, Spring 2026.
Abstract Pretrained large language models (LLMs) have gained popularity in recent years due to their high performance in various educational tasks such as learner modeling, automated scoring, automatic item generation, and prediction. Nevertheless, LLMs are black box approaches where models are less interpretable, and they may carry human biases and ...
Guher Gorgun, Seyma N. Yildirim‐Erbasli   +1 more
wiley   +1 more source

TiltRec: an ultra-fast and open-source toolkit for cryo-electron tomographic reconstruction. [PDF]

Bioinformatics
Jiao Y, Li H, Xue Y, Yang G, Qi L, Zhang F, Zang D, Han R.   +7 more
europepmc   +1 more source