Results 231 to 240 of about 79,266 (321)

Advancing Annotat3D with Harpia: A CUDA-Accelerated Library For Large-Scale Volumetric Data Segmentation

de Araujo, Camila Machado, Borges, Egon P. B. S., Grangeiro, Ricardo Marcelo Canteiro, Pinto, Allan   +3 more
openalex   +1 more source

Pediatric brain tumor classification using digital pathology and deep learning: Evaluation of SOTA methods on a multi‐center Swedish cohort

Brain Pathology, Volume 36, Issue 1, January 2026.
Deep learning‐based feature extractors pretrained on histopathology images can classify pediatric brain tumors when applied to a multi‐center Swedish dataset. Abstract Brain tumors are the most common solid tumors in children and young adults, but the scarcity of large histopathology datasets has limited the application of computational pathology in ...
Iulian Emil Tampu, Per Nyman, Christoforos Spyretos, Ida Blystad, Alia Shamikh, Gabriela Prochazka, Teresita Díaz de Ståhl, Johanna Sandgren, Peter Lundberg, Neda Haj‐Hosseini   +9 more
wiley   +1 more source

Preserving provability over GPU program optimizations with annotation-aware transformations. [PDF]

Form Methods Syst Des
Şakar Ö, Safari M, Huisman M, Wijs A.
europepmc   +1 more source

Neural Networks for Space Debris Classification

Expert Systems, Volume 43, Issue 1, January 2026.
ABSTRACT Significant research in the field of space domain awareness (SDA) has focused on improving AI‐driven data processing and classification tasks. Previous studies have explored the classification of orbiting man‐made object types such as satellites, rocket bodies, and debris, yet there is a noticeable gap in the literature concerning the ...
Anne Adriano, K. Andrea Scott, Haroon Oqab, George Dietrich, Nasser Lashgarian Azad   +4 more
wiley   +1 more source

A parallel CUDA implementation of the Gauss-Legendre-spherical-t method for electrostatic interactions. [PDF]

J Chem Phys
Gonzales JE, Hwang W, Brooks BR.
europepmc   +1 more source

Методы ускорения расчетов и повышения устойчивости полевой модели гидродинамических турбулентных процессов на CUDA

, 2018
Ясинский Игорь Федорович, Гудухина Александра Антоновна   +1 more
openalex   +1 more source

End‐to‐End Convolutional Neural Networks Training on Stable Diffusion Deepfake Imagery for Precise Early Weed Detection

Weed Research, Volume 66, Issue 1, January/February 2026.
ABSTRACT The integration of optical sensor systems with advancements in artificial intelligence for image processing presents a promising avenue for the broader implementation of site‐specific weed management (SSWM). Convolutional neural networks (CNNs) have significantly advanced the field of weed detection.
Adrià Gómez, Hugo Moreno, Dionisio Andújar   +2 more
wiley   +1 more source

ON-NSW: Accelerating High-Dimensional Vector Search on Edge Devices with GPU-Optimized NSW. [PDF]

Sensors (Basel)
Park T, Lee H, Na Y, Kim WH.
europepmc   +1 more source

Elastically deformable models based on the finite element method accelerated on graphics hardware using CUDA

, 2012
Mickeal Verschoor, AC Andrei Jalba
openalex   +2 more sources

Multi‐Teacher Knowledge Distillation Framework for Lightweight Deep Learning‐Based State‐of‐Health Estimation

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
While deep learning‐based approaches for state of health (SOH) estimation in lithium‐ion batteries have been actively studied, most models face deployment constraints in on‐device applications due to their high complexity and large number of parameters.
Yeonho Choi, Paul Jang, Jaejung Yun, Özgür Ömer Ersin   +3 more
wiley   +1 more source