Results 161 to 170 of about 28,341 (292)

High performance IP lookup through GPU acceleration to support scalable and efficient routing in data driven communication networks. [PDF]

Sci Rep
Sonai V, Bharathi I, Alshathri S, El-Shafai W, Abdul Kadir MF.   +4 more
europepmc   +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

Accelign: a GPU-based library for accelerating pairwise sequence alignment. [PDF]

BMC Bioinformatics
Kallenborn F, Dabbaghie F, Steinegger M, Schmidt B.   +3 more
europepmc   +1 more source

Belief-Propagation Assisted Scheduling in Input-Queued Switches [PDF]

, 2012
Cuda, Davide, Giaccone, Paolo, Pretti, Marco, Atalla, Shadi   +3 more
core   +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

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

SelExNet: A Self‐Supervised Physics‐Informed Framework for Multi‐Channel Joint RF and Gradient Waveform Optimization in 2D Spatially Selective Excitation

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1219-1234, September 2026.
ABSTRACT Purpose To introduce SelExNet: a self‐supervised framework for two‐dimensional spatially selective excitation that jointly optimizes radiofrequency (RF) pulses and gradient waveforms, and extends to multi‐channel transmission MRI. Methods Building on prior RF‐only and joint RF‐gradient optimization approaches, SelExNet couples neural RF and ...
Yuliang Xiao, Jason Rock, Zhe Wu, Jamie Near, Mark Chiew, Simon J. Graham   +5 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

Enhanced Quantitative Phosphocreatine MR Imaging of Skeletal Muscle Using a Global–Local Two‐Branch Deep Learning Model

Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 741-755, August 2026.
ABSTRACT Purpose Phosphocreatine (PCr) is an essential marker of muscle metabolism, and accurate quantification of its (fs) and its exchange rate (ksw) is essential for diagnosing various muscular and neuromuscular diseases. Although chemical exchange saturation transfer (CEST) MRI can detect the saturation transfer effect from PCr, quantification of ...
Malvika Viswanathan, Leqi Yin, Yashwant Kurmi, Shuyang Chai, Xiaoyu Jiang, Yuankai Huo, Junzhong Xu, Limin Chen, John C. Gore, Zhongliang Zu   +9 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