Results 151 to 160 of about 79,266 (321)

TVB C++: A Fast and Flexible Back‐End for The Virtual Brain

Advanced Science, Volume 13, Issue 2, 9 January 2026.
TVB C++ is a streamlined and fast C++ Back‐End for The Virtual Brain (TVB), designed to make it as flexible as TVB, and FAST. Another pillar is to be fully compatible with TVB so easy bindings can be created from Python. Users can easily configure TVB C++ to execute the same code but with enhanced performance and parallelism.
Ignacio Martín, Gorka Zamora‐López, Jan Fousek, Michael Schirner, Petra Ritter, Viktor Jirsa, Gustavo Deco, Gustavo Patow   +7 more
wiley   +1 more source

NIRFASTerFF: an accessible, cross-platform Python package for fast photon modeling. [PDF]

J Biomed Opt
Cao J, Montero-Hernandez S, Mesquita RC, Eggebrecht AT, Dehghani H.   +4 more
europepmc   +1 more source

Efficient Partitioning Based Hierarchical Agglomerative Clustering Using Graphics Accelerators With Cuda

, 2013
Arul Shalom, Manoranjan Dash
openalex   +1 more source

Using CUDA architecture for computer simulations of thermomechanical phenomena [PDF]

, 2014
G. Michalski, Norbert Sczygiol, Siergiei Leonov   +2 more
openalex   +1 more source

Predicting MammaPrint Recurrence Risk from Breast Cancer Pathological Images Using a Weakly Supervised Transformer

Advanced Science, Volume 13, Issue 4, 19 January 2026.
This study presents CPMP, a weakly supervised transformer model that predicts MammaPrint recurrence risk directly from routine histopathological images of early‐stage HR+/HER2− breast cancer patients. CPMP enables spatial heatmap visualization, analysis of cellular‐level interaction patterns, and an in‐depth characterization of morphological phenotypes
Chaoyang Yan, Linwei Li, Xiaolong Qian, Yang Ou, Zhidong Huang, Zhihan Ruan, Wenting Xiang, Hong Liu, Jian Liu   +8 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

Function inference of million-scale microbiomes using multi-GPU acceleration. [PDF]

Microbiol Spectr
Zhang Y, Wang M, Sun Y, Gao H, Su X.
europepmc   +1 more source

DecGPU: distributed error correction on massively parallel graphics processing units using CUDA and MPI [PDF]

, 2011
Yongchao Liu, Bertil Schmidt, Douglas L. Maskell   +2 more
openalex   +1 more source

BiT‐HyMLPKANClassifier: A Hybrid Deep Learning Framework for Human Peripheral Blood Cell Classification Using Big Transfer Models and Kolmogorov–Arnold Networks

Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.
This study presents BiT‐HyMLPKANClassifier, a novel hybrid deep learning framework for automated human peripheral blood cell classification. Model combines Big Transfer models with multilayer perceptron and efficient Kolmogorov–Arnold Network architectures, achieving over 97% accuracy.
Ömer Miraç KÖKÇAM, Ferhat UÇAR
wiley   +1 more source

Load-Swing Attenuation in a Quadcopter-Payload System Through Trajectory Optimisation. [PDF]

Sensors (Basel)
Feng B, Khatamianfar A.
europepmc   +1 more source