Results 161 to 170 of about 82,239 (329)

Ship Detection from SAR Imagery Using CUDA and Performance Analysis of the System

PRAMILA CHAWAN
openalex   +1 more source

Debunking the CUDA Myth Towards GPU-based AI Systems [PDF]

Yun-Jae Lee, Juntaek Lim, J. Bang, Cho, Eunyeong, Jeong, Huijong, Tae‐Su Kim, Hyungjun Kim, Joonhyung Lee, Jinwoo Im, Ranggi Hwang, Se Jung Kwon, Dong‐Soo Lee, Minsoo Rhu   +12 more
openalex   +1 more source

Hyperspectral tomographic diffractive microscopy: Development and applications

Journal of Microscopy, EarlyView.
Abstract Tomographic Diffractive Microscopy (TDM) provides label‐free three‐dimensional imaging of transparent samples with resolution surpassing confocal limits. At IRIMAS, successive instrumental developments since 2009 have enhanced TDM capabilities through transmission, reflection, isotropic, polarisation‐sensitive, and dual‐view configurations ...
Leonardo Pestana Legori, Carlos Alberto Chacón Ávila, Matthieu Debailleul, Nicolas Verrier, Olivier Haeberlé   +4 more
wiley   +1 more source

GPUSVM: a comprehensive CUDA based support vector machine package

Open Computer Science, 2011
Li Qi, Salman Raied, Test Erik, Strack Robert, Kecman Vojislav   +4 more
doaj   +1 more source

Performance evaluation of GPU-based parallel sorting algorithms. [PDF]

PLoS One
Ala'anzy MA, Tolendi N, Baubek B, Algarni A.   +3 more
europepmc   +1 more source

CATE - CUDA Accelerated Testing of Evolution

Deshan Perera
openalex   +1 more source

Artificial Intelligence‐Based Identification of Common Canine Skin Lesions From Clinical Images

Veterinary Dermatology, EarlyView.
Background: Accurate evaluation of skin lesions is an essential component of dermatological examination, yet it can be time‐consuming and subject to interobserver variability. While artificial intelligence (AI) models have shown reliability in diagnosing specific skin diseases, lesion‐level identification remains underexplored in veterinary dermatology.
Soh‐Yoon Kang, Yeong‐Hun Kang, Hyun‐Jung Kim, Eun‐A. Huh, Jong‐Soo Jeon, Hyun‐Su Kim, Min‐Sun Kim, Anisha Tiwari, Cheol‐Yong Hwang   +8 more
wiley   +1 more source

Protocol for quantitative analysis of adult zebrafish swimming behavior using DeepLabCut. [PDF]

STAR Protoc
Keerthisinghe P, Karim A, Basak A, Orengo JP.   +3 more
europepmc   +1 more source

Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan, Valerio Hoyos‐Villegas   +1 more
wiley   +1 more source

An accelerated framework for high-resolution X-ray holographic reconstruction. [PDF]

J Synchrotron Radiat
Hu J, Ji B, Hu Y, Wang L, Chang G, Shi J.   +5 more
europepmc   +1 more source