LATENT

作品数:398被引量:927H指数:14
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Study on micromechanical behavior and energy evolution of granular material generated by latent diffusion model under rotation of principal stresses
《Particuology》2025年第1期71-83,共13页Jichen Zhong Junxing Zheng Lin Gao Qixin Wu Zhenchang Guan Shuangping Li Dong Wang 
supported by the CRSRI Open Research Program(grant No.CKWV20241179/KY);Postdoctoral Fellowship Program of CPSF(grant No.GZC20230901);China Postdoctoral Science Foundation(grant No.2023M741267);Department of Science and Technology of Hubei Province(grant No.2023AFB578);National Key R&D Program of China(grant No.2023YFC3804500).
In this study, advanced image processing technology is used to analyze the three-dimensional sand composite image, and the topography features of sand particles are successfully extracted and saved as high-quality ima...
关键词:Pattern recognition Latent diffusion model(LDM) DEM Principal stress rotation(PSR) Mechanical response 
Evaluation of surface latent heat and sensible heat fluxes from ERA-5,GLDAS,and MODIS on different underlying surfaces in the Tibetan Plateau
《Journal of Mountain Science》2025年第1期230-245,共16页LAN Xincan YIN Yongsheng TANG Jiale LIAN Yuanyuan ZHAO Fang WANG Yumeng ZHENG Zhixian 
funded by the West Light Scholar of the Chinese Academy of Sciences(xbzg-zdsys-202202);the Natural Science Foundation of Henan(Grant No.232300420165);Integrated Scientific Investigation of the North-South Transitional Zone of China(2017FY100900)。
Surface-latent heat(LE)and sensible heat(SH)fluxes play a pivotal role in governing hydrological,biological,geochemical,and ecological processes on the land surface in the Tibetan Plateau.However,to accurately assess ...
关键词:FLUXNET ERA-5 GLDAS MODIS Latent and sensible heat flux(LE and SH) Tibetan Plateau 
Hierarchical Method for Classifying Latent Traumatic States (CAH-ET)
《Open Journal of Applied Sciences》2024年第12期3500-3515,共16页Kpinna Tiekoura Coulibaly Abdoul Maïga Kamagaté Beman Hamidja Diaby Moustapha 
This article presents a hybrid method of automatic classification of latent traumatic states adapted to the analysis of social resilience processes. Our approach combines the Hierarchical Ascending Classification (CAH...
关键词:Social Resilience Classification Machine Learning 
Discovering latent themes in aviation safety reports using text mining and network analytics
《International Journal of Transportation Science and Technology》2024年第4期292-316,共25页Yingying Xing Yutong Wu Shiwen Zhang Ling Wang Haoyuan Cui Bo Jia Hongwei Wang 
Aviation accidents,referring to unexpected and undesirable events involving aircraft,often cause great damage to property and human life.Learning from historical accidents is pivotal for improving safety in aviation.H...
关键词:Aviation safety Aviation accident report Text mining Topic modeling Network analysis 
ChemNav:An interactive visual tool to navigate in the latent space for chemical molecules discovery
《Visual Informatics》2024年第4期60-70,共11页Yang Zhang Jie Li Xu Chao 
supported by the NSFC,China project (61972278,62372321).
In recent years,AI-driven drug development has emerged as a prominent research topic in computer chemistry.A key focus is the application of generative models for molecule synthesis,which create extensive virtual libr...
关键词:Visual analysis Molecules design and synthesis Latent space Generative model 
Identiffcation and Analysis of Sex-Biased Copy Number Alterations
《Health Data Science》2024年第1期355-363,共9页Chenhao Zhang Yang Yang Qinghua Cui Dongyu Zhao Chunmei Cui 
supported by the grants from the National Natural Science Foundation of China(32301239,62025102,and 81921001);Scientiffc and Technological Research Project of Xinjiang Production and Construction Corps(grant number 2023AB057);China Postdoctoral Science Foun dation(2023M740151).
Background:Sex difference has long been recognized at cancer incidence,outcomes,and responses to therapy.Analyzing the somatic mutation proffles of large-scale cancer samples between the sexes have revealed several po...
关键词:alterations utilized LATENT 
Generative model-assisted sample selection for interest-driven progressive visual analytics
《Visual Informatics》2024年第4期97-108,共12页Jie Liu Jie Li Jielong Kuang 
supported by NSFC project (62372321).
We propose interest-driven progressive visual analytics.The core idea is to filter samples with features of interest to analysts from the given dataset for analysis.The approach relies on a generative model(GM)trained...
关键词:Sample selection Interest-driven Generative model Visual analytics Latent space exploration 
Evaluation of Modern Generative Networks for EchoCG Image Generation
《Computers, Materials & Continua》2024年第12期4503-4523,共21页Sabina Rakhmetulayeva Zhandos Zhanabekov Aigerim Bolshibayeva 
funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan(Grant No.AP13068032-Development of Methods and Algorithms for Machine Learning for Predicting Pathologies of the Cardiovascular System Based on Echocardiography and Electrocardiography).
The applications of machine learning(ML)in the medical domain are often hindered by the limited availability of high-quality data.To address this challenge,we explore the synthetic generation of echocardiography image...
关键词:Synthetic image generation synthetic echogcardiography generative adversarial networks CycleGAN latent diffusion models stable diffusion 
SpaCCC:Large Language Model-Based Cell-Cell Communication Inference for Spatially Resolved Transcriptomic Data
《Big Data Mining and Analytics》2024年第4期1129-1147,共19页Boya Ji Xiaoqi Wang Debin Qiao Liwen Xu Shaoliang Peng 
supported by the National Natural Science Foundation of China-Science and Technology Development Fund(No.62361166662);the National Key R&D Program of China(Nos.2023YFC3503400 and 2022YFC3400400);the Key R&D Program of Hunan Province(Nos.2023GK2004,2023SK2059,and 2023SK2060);the Top 10 Technical Key Project in Hunan Province(No.2023GK1010);the Key Technologies R&D Program of Guangdong Province(No.2023B1111030004 to FFH);the Funds of State Key Laboratory of Chemo/Biosensing and Chemometrics,the National Supercomputing Center in Changsha(http://nscc.hnu.edu.cn/);Peng Cheng Lab.Graduate Research Innovation Project of Hunan Province(No.QL20230101).
Drawing parallels between linguistic constructs and cellular biology,Large Language Models(LLMs)have achieved success in diverse downstream applications for single-cell data analysis.However,to date,it still lacks met...
关键词:Large Language Models(LLM) spatial transcriptome data Cell-Cell Communications(CCCs) functional gene interaction networks unified latent space 
Quantitative Expression of Latent Disease Factors in Individuals Associated with Psychopathology Dimensions and Treatment Response被引量:1
《Neuroscience Bulletin》2024年第11期1667-1680,共14页Shaoling Zhao Qian Lv Ge Zhang Jiangtao Zhang Heqiu Wang Jianmin Zhang Meiyun Wang Zheng Wang 
supported by the National Natural Science Foundation(82151303);the National Key R&D Program of China(2021ZD0204002);the Key-Area Research and Development Program of Guangdong Province(2019B030335001);Shanghai Municipal Science and Technology Major Project(2018SHZDZX05);Strategic Priority Research Program of Chinese Academy of Science(XDB32000000);supported in part by the Postdoctoral Fellowship of the Peking-Tsinghua Center for Life Sciences.GSP data were provided by the Brain Genomics Superstruct Project of Harvard University and the Massachusetts General Hospital,(Principal Investigators:Randy Buckner,Joshua Roffman,and Jordan Smoller),with support from the Center for Brain Science Neuroinformatics Research Group,the Athinoula A.Martinos Center for Biomedical Imaging,and GSP Open Access Documentation the Center for Human Genetic Research.20 individual investigators at Harvard and MGH generously contributed data to the overall project.
Psychiatric comorbidity is common in symptombased diagnoses like autism spectrum disorder(ASD),attention/deficit hyper-activity disorder(ADHD),and obsessivecompulsive disorder(OCD).However,these co-occurring symptoms ...
关键词:Psychiatric comorbidity Latent disease factor Psychopathology dimension Treatment outcome Quantitative diagnosis 
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