Results 181 to 190 of about 39,047 (336)

Wearable Data‐Driven Transformer Model for Physical Load Assessment in Badminton Training

Engineering Reports, Volume 8, Issue 3, March 2026.
Through multi‐dimensional data fusion and innovative network architecture, the management from data collection to physical fitness evaluation is realized. ABSTRACT This study focuses on capturing the physiological state and action characteristics of badminton players in the high‐intensity and fast‐changing sports scene.
Manling Sun
wiley   +1 more source

Barracuda: a dynamic, Turing-complete GPU virtual machine for high-performance simulations. [PDF]

Med Biol Eng Comput
Duncan-Gelder P, O'Keeffe D, Bones PJ, Marsh S.   +3 more
europepmc   +1 more source

Long Short‐Term Memory Network and Statistical Time Series Analysis Forecast Models for 30 min Interval Wind Farm Power Output and Regional Price Variables

Environmetrics, Volume 37, Issue 2, March 2026.
ABSTRACT This study compares parametric statistical time series models, such as autoregressive moving average (ARMA), with nonparametric artificial neural networks, specifically long short‐term memory (LSTM) models, for univariate forecasting. Two time series are analyzed separately: wind power output from the Clements Gap wind farm and the regional ...
Luigi R. Cirocco, Joshua Chopin, Belinda Chiera, John W. Boland   +3 more
wiley   +1 more source

High performance GPU implementation of KNN algorithm: A review. [PDF]

MethodsX
Bidye P, Borkar P, Rakesh N.
europepmc   +1 more source

Cuda-based technology for improving the efficiency of the aircraft motion

, 2016
Serhii Tovkach
openalex   +1 more source

SegRef3D: A Versatile Open‐Source Platform for Artificial Intelligence‐Assisted Segmentation and Three‐Dimensional Reconstruction in Morphological Research

International Journal of Imaging Systems and Technology, Volume 36, Issue 2, March 2026.
SegRef3D is an open‐source GUI that integrates AI‐powered segmentation tools to enable streamlined workflows for 3D reconstruction. It supports 3D STL export with built‐in volume measurement and provides a versatile platform for integrative morphological and histological analysis. ABSTRACT Accurate and efficient image segmentation is crucial in anatomy,
Satoru Muro, Takuya Ibara, Akimoto Nimura, Keiichi Akita   +3 more
wiley   +1 more source

CCC-GPU: a graphics processing unit (GPU)-accelerated nonlinear correlation coefficient for large-scale transcriptomic analyses. [PDF]

Bioinformatics
Zhang H, Fotso KT, Subirana-Granés M, Pividori M.   +3 more
europepmc   +1 more source

Accelerating and analyzing performance of shortest path algorithms on GPU using CUDA platform: Bellman-Ford, Dijkstra, and Floyd-Warshall algorithms

Deep Bodra, S. Khairnar
openalex   +2 more sources

Medical Image Segmentation Using a Combination of Lattice Boltzmann Method and Fuzzy Clustering Based on GPU CUDA Parallel Processing

, 2021
Ignasius Boli Suban, Suyoto Suyoto, Pranowo Pranowo   +2 more
openalex   +2 more sources

Using Convolutional Neural Networks for the Classification of Suboptimal Chest Radiographs

Journal of Medical Radiation Sciences, Volume 73, Issue 1, Page 60-68, March 2026.
This study evaluated DenseNet121 and YOLOv8 neural networks in detecting suboptimal chest x‐rays for quality control. Through training, validation, and testing, both AI models effectively classified chest X‐ray quality, highlighting the potential to provide radiographers with feedback to enhance image quality.
Emily Huanke Liu, Daniel Carrion, Mohamed Khaldoun Badawy   +2 more
wiley   +1 more source