Results 111 to 120 of about 16,671 (310)

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

An Integrated Hydrological–Hydrodynamic Model Based on GPU Acceleration for Catchment-Scale Rainfall Flood Simulation

Atmosphere
Extreme rainstorms are difficult to predict and often result in catchment-scale rainfall flooding, leading to substantial economic losses globally.
Ruixiao Ma, Hao Han, Zhaoan Zhang
doaj   +1 more source

Celeritas: Accelerating Geant4 with GPUs

EPJ Web of Conferences
Celeritas [1] is a new Monte Carlo (MC) detector simulation code designed for computationally intensive applications (specifically, High Lumi- nosity Large Hadron Collider (HL-LHC) simulation) on high-performance heterogeneous architectures. In the past two years Celeritas has advanced from prototyping a GPU-based single physics model in infinite ...
Johnson Seth R., Esseiva Julien, Biondo Elliott, Canal Philippe, Demarteau Marcel, Evans Thomas, Jun Soon Yung, Lima Guilherme, Lund Amanda, Romano Paul, Tognini Stefano C.   +10 more
openaire   +2 more sources

Suitability of Shallow Water Solving Methods for GPU Acceleration

, 2020
In the past 15 years the field of general purpose computing on graphics processing units, or GPUs, has become well developed and the practice is becoming more mainstream. Computational demands of simulation software are continuously increasing.
Buwalda, Floris (author)
core  

The genga code: gravitational encounters inn-body simulations with gpu acceleration [PDF]

, 2014
We describe an open source GPU implementation of a hybrid symplectic N-body integrator, GENGA (Gravitational ENcounters with Gpu Acceleration), designed to integrate planet and planetesimal dynamics in the late stage of planet formation and stability ...
Grimm, Simon L., Stadel, Joachim G., Grimm, Simon L, Stadel, Joachim G   +3 more
core   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

RETRACTED: Wang et al. Amplitude and Phase Computable Ocean Wave Real-Time Modeling with GPU Acceleration. J. Mar. Sci. Eng. 2022, 10, 1208

Journal of Marine Science and Engineering
The journal retracts the article titled “Amplitude and Phase Computable Ocean Wave Real-Time Modeling with GPU Acceleration” [...]
Guigui Wang, Shihan Tan, Ge Song, Sheng Wang   +3 more
doaj   +1 more source

Experiences with porting and modelling wavefront algorithms on many-core architectures [PDF]

, 2010
We are currently investigating the viability of many-core architectures for the acceleration of wavefront applications and this report focuses on graphics processing units (GPUs) in particular.
Pennycook, Simon J., Hammond, Simon D., Mudalige, Gihan R., Jarvis, Stephen A.   +3 more
core  

Parallel nonlinear dimensionality reduction using GPU acceleration

, 2021
Dimensionality reduction is usually an essential step in data mining and classical machine learning from high-dimensional data. Uniform Manifold Approximations Projections (UMAP) is a recently developed nonlinear dimensionality reduction method that is ...
Qu, Zhonglin (S33642), Qian, Yu, Nguyen, Quang Vinh (R12391), Tegegne, Yezihalem (S35494)   +3 more
core   +1 more source

Self‐Powered Bearing Sensing and Real‐Time Fault Diagnosis Enabled by Non‐Invasive Triboelectric Sensors and Edge AI Acceleration

Advanced Science, EarlyView.
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu, Zhongheng Liu, Xinming Li, Jinrui Zhang, Meng Li, Yiming Guo, Lihua Han, Yanxue Wang   +7 more
wiley   +1 more source