Results 101 to 110 of about 55,131 (288)

Large-scale acceleration algorithms for a deep convective physical parameterization scheme on GPU.

PLoS ONE
Early warning of geological hazards requires monitoring extreme weather conditions, such as heavy rainfall. Atmospheric circulation models are used for weather forecasting and climate simulation.
Yongfei Wang, Junping Wang, Jiarui Tian, Lin Li, Fangping Ma, Fang Peng, Hu Ke   +6 more
doaj   +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

GPU Accelerated ACF Detector

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2018
The field of pedestrian detection has come a long way in recent decades. In terms of accuracy, the current state-of-the-art is hands down reached by Deep Learning methods. However in terms of running speed this is not always the case, traditional methods are often still faster than their Deep Learning counterparts.
Van Ranst, Wiebe, De Smedt, Floris, Goedemé, Toon   +2 more
openaire   +2 more sources

GPU Accelerated Smith-Waterman [PDF]

, 2006
We present a novel hardware implementation of the double affine Smith-Waterman (DASW) algorithm, which uses dynamic programming to compare and align genomic sequences such as DNA and proteins. We implement DASW on a commodity graphics card, taking advantage of the general purpose programmability of the graphics processing unit to leverage its cheap ...
Liu, Y., Huang, W., Johnson, J., Vaidya, S.   +3 more
openaire   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

Intelligent Stain‐Free Histology on Structural Colorimetric Nanocavities

Advanced Science, EarlyView.
Chen and Gan et al. introduce a label‐free imaging platform using inexpensive Nanocavity‐on‐Silicon (NOS) slides. These slides transform subtle tissue variations into vivid structural colors, enabling high‐contrast histological imaging under a regular optical microscope. This stain‐free approach reveals morphological details comparable to traditional H&
Qizhe Chen, Yifei Ren, Lijie Hu, Yanyan Li, Wenyue Liang, Jin Wang, Han Gao, Xinhai Wang, Jiajun Li, Qiutao He, Yingfeng Zhu, Haifeng Hu, Qiwen Zhan, Imed Gallouzi, Jasmeen Merzaban, Di Wang, Zunguo Du, Xiaodong Gu, Qiaoqiang Gan   +18 more
wiley   +1 more source

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

Advanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li, Haifan Gong, Yue Wang, Yinuo Zhao, Lixiang Li, Peijing Bao, Qingzhou Kong, Jialu Fu, Boyao Wan, Yumeng Zhang, Jinghui Zhang, Jiekun Ni, Zhongxue Han, Xueping Nan, Kunping Ju, Longfei Sun, Yuerui Ma, Huijun Chang, Mengqi Zheng, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +23 more
wiley   +1 more source

NMF Clustering: Accessible NMF-based Clustering Utilizing GPU Acceleration. [PDF]

J Bioinform Syst Biol, 2023
Liefeld T, Huang E, Wenzel AT, Yoshimoto K, Sharma AK, Sicklick JK, Mesirov JP, Reich M.   +7 more
europepmc   +1 more source

Unveil Fundamental Graph Properties for Neural Architecture Search

Advanced Science, EarlyView.
This paper proposes NASGraph, a graph‐based framework that represents neural architectures as graphs whose structural properties determine performance. By revealing structure–performance relationships, NASGraph enables efficient neural architecture search with significantly reduced computation.
Zhenhan Huang, Tejaswini Pedapati, Pin‐Yu Chen, Chunheng Jiang, Jianxi Gao   +4 more
wiley   +1 more source

Moving-Target Position Estimation Using GPU-Based Particle Filter for IoT Sensing Applications

Applied Sciences, 2017
A particle filter (PF) has been introduced for effective position estimation of moving targets for non-Gaussian and nonlinear systems. The time difference of arrival (TDOA) method using acoustic sensor array has normally been used to for estimation by ...
Seongseop Kim, Jeonghun Cho, Daejin Park
doaj   +1 more source