GeNePi: a graphics processing unit enhanced next-generation bioinformatics pipeline for whole-genome sequencing analysis. [PDF]
Marangoni S +12 more
europepmc +1 more source
High performance IP lookup through GPU acceleration to support scalable and efficient routing in data driven communication networks. [PDF]
Sonai V +4 more
europepmc +1 more source
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam +3 more
wiley +1 more source
Function inference of million-scale microbiomes using multi-GPU acceleration. [PDF]
Zhang Y, Wang M, Sun Y, Gao H, Su X.
europepmc +1 more source
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source
Workflow Analysis for CGH Generation with Speckle Reduction and Occlusion Culling Using GPU Acceleration. [PDF]
Serón FJ, Blesa A, Sanz D.
europepmc +1 more source
ABSTRACT Large language models (LLMs) have made remarkable advances in natural language processing, demonstrating great potential in modelling structured sequences. However, adapting these capabilities to machine gaming tasks such as Go remains challenging due to limitations in strategy generalisation and optimisation efficiency.
Xiali Li +5 more
wiley +1 more source
Reconstruction of Axonal Projections of Single Neurons Using PointTree. [PDF]
Cai L, Qu X, Wang J, Shen Y, Quan T.
europepmc +1 more source
A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks
ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü +6 more
wiley +1 more source
Fully Automated AI-Based Lymph Node Measurements in Chest CT: Accuracy and Reproducibility Compared with Multi-Reader Assessment. [PDF]
Iuga AI +20 more
europepmc +1 more source

