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FINE-GRAINED: 作品数：264被引量：531H指数：9; 导出分析报告; 相关领域：自动化与计算机技术天文地球更多>>; 相关作者：赵嫱陈瓶陈吉华苏斌申俊杰更多>>; 相关机构：湖南大学天津理工大学深圳供电局有限公司华中科技大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划中国博士后科学基金国家教育部博士点基金更多>>

Achieving the excellent intermediate-temperature strength-ductility synergy in a fine-grained FeCrNi-based medium entropy alloy with heterogeneous precipitation: 《International Journal of Minerals,Metallurgy and Materials》2025年第5期1198-1207,共10页Tianxiang Bai Tuanwei Zhang Zhiming Jiao Jinyao Ma Hui Chang Jianjun Wang Dan Zhao Shengguo Ma Zhouzhu Mao Xiaoxiao Liu Zhihua Wang; supported by the National Natural Science Foundation of China(Nos.12072220,12102291,and 12225207);the Science and Technology Innovation Teams of Shanxi Province,China(No.202204051002006);the Central Guidance on Local Science and Technology Development Fund of Shanxi Province,China(No.YDZJSX2021B002).; Fe-Cr-Ni austenitic alloys are extensively utilized in the hot-end components of nuclear light water reactors,turbine disks,and gas compressors.However,their low strength at elevated temperatures limits their engineer...; 关键词：high/medium-entropy alloys medium temperature mechanical property serratedσphase

Fine-Grained Point Cloud Intensity Correction Modeling Method Based on Mobile Laser Scanning: 《Computers, Materials & Continua》2025年第4期575-593,共19页Xu Liu Qiujie Li Youlin Xu Musaed Alhussein Khursheed Aurangzeb Fa Zhu; supported in part by the National Natural Science Foundation of China under grant number 31901239;funded by Researchers Supporting Project Number(RSPD2025R947),King Saud University,Riyadh,Saudi Arabia.; The correction of Light Detection and Ranging(LiDAR)intensity data is of great significance for enhancing its application value.However,traditional intensity correction methods based on Terrestrial Laser Scanning(TLS)...; 关键词：LIDAR intensity correction mobile laser scanning distance and incidence angle MODELING

Preparation of Fine-grained 3Y-TZP Ceramics with Enhanced Low-temperature Degradation Resistance: 《Journal of Wuhan University of Technology(Materials Science)》2025年第2期368-373,共6页XIONG Yan LUO Lian CHEN Liu JIANG Bo LIU Zhi LIU Qi; financially supported by the Foundation of Hubei Province Key Laboratory of Green Materials for Light Industry,Hubei University of Technology。; The occurrence of tetragonal to monoclinic phase(t→m)transformation in zirconia ceramics under humid ambient conditions induces the low-temperature degradation(LTD).Such t→m transformation could be suppressed by gra...; 关键词：3Y-TZP ceramics low-temperature degradation MICROSTRUCTURES

Mechanisms of fine-grained sedimentation and reservoir characteristics of shale oil in continental freshwater lacustrine basin:A case study from Chang 7_(3) sub-member of Triassic Yanchang Formation in southwestern Ordos Basin,NW China: 《Petroleum Exploration and Development》2025年第1期95-111,共17页LIU Xianyang LIU Jiangyan WANG Xiujuan GUO Qiheng Lv Qiqi YANG Zhi ZHANG Yan ZHANG Zhongyi ZHANG Wenxuan; Supported by the CNPC Major Science and Technology Project(2021DJ1806).; Based on recent advancements in shale oil exploration within the Ordos Basin,this study presents a comprehensive investigation of the paleoenvironment,lithofacies assemblages and distribution,depositional mechanisms,a...; 关键词：fine-grained sedimentation density flow mode flume simulation experiments reservoir characteristics Chang 7_(3)sub-member Triassic Yanchang Formation shale oil Ordos Basin

A teacher-student based attention network for fine-grainedimage recognition: 《Digital Communications and Networks》2025年第1期52-59,共8页Ang Li Xueyi Zhang Peilin Li Bin Kang; supported by the National Natural Science Foundation of China,China (Grants No.62171232);the Priority Academic Program Development of Jiangsu Higher Education Institutions,China。; Fine-grained Image Recognition(FGIR)task is dedicated to distinguishing similar sub-categories that belong to the same super-category,such as bird species and car types.In order to highlight visual differences,existin...; 关键词：Fine-grained image recognition Collaborative teacher-student strategy Multi-attention Global attention

PriChain:Efficient Privacy-Preserving Fine-Grained Redactable Blockchains in Decentralized Settings: 《Chinese Journal of Electronics》2025年第1期82-97,共16页Hongchen Guo Weilin Gan Mingyang Zhao Chuan Zhang Tong Wu Liehuang Zhu Jingfeng Xue; supported by the Major Scientific and Technological Innovation Projects of Shandong Province(Grant No.2020CXGC010116);the National Natural Science Foundation of China(Grant Nos.62232002,62202051,and 62172042);the National Key R&D Program of China(Grant Nos.2021YFB2700500 and 2021YFB2700503);the China Postdoctoral Science Foundation(Grant Nos.2021M700435 and 2021TQ0042);the Open Project Funding of Key Laboratory of Mobile Application Innovation and Governance Technology,the Ministry of Industry and Information Technology(Grant No.2023IFS080601-K);the Beijing Institute of Technology Research and Innovation Promoting Project(Grant No.2023YCXY010);the Beijing Institute of Technology Research Fund Program for Young Scholars;the Young Elite Scientists Sponsorship Program by CAST(Grant No.2023QNRC001);the Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies(Grant No.2022B1212010005);the Shandong Provincial Key Research and Development Program(Grant No.2021CXGC010106)。; Recently,redactable blockchain has been proposed and leveraged in a wide range of real systems for its unique properties of decentralization,traceability,and transparency while ensuring controllable on-chain data reda...; 关键词：Blockchain Fine-grained redaction Privilege downward compatibility Privacy preservation

LEGF-DST:LLMs-Enhanced Graph-Fusion Dual-Stream Transformer for Fine-Grained Chinese Malicious SMS Detection: 《Computers, Materials & Continua》2025年第2期1901-1924,共24页Xin Tong Jingya Wang Ying Yang Tian Peng Hanming Zhai Guangming Ling; supported by the Fundamental Research Funds for the Central Universities(2024JKF13);the Beijing Municipal Education Commission General Program of Science and Technology(No.KM202414019003).; With the widespread use of SMS(Short Message Service),the proliferation of malicious SMS has emerged as a pressing societal issue.While deep learning-based text classifiers offer promise,they often exhibit suboptimal ...; 关键词：Transformers malicious SMS multi-task learning large language models

A Fine-Grained Defect Prediction Method Based on Drift-Immune Graph Neural Networks: 《Computers, Materials & Continua》2025年第2期3563-3590,共28页Fengyu Yang Fa Zhong Xiaohui Wei Guangdong Zeng; The authors would like to express appreciation to the National Natural Science Foundation of China(Grant No.61762067)for their financial support.; The primary goal of software defect prediction (SDP) is to pinpoint code modules that are likely to contain defects, thereby enabling software quality assurance teams to strategically allocate their resources and manp...; 关键词：Software defect prediction data drift graph neural networks information bottleneck

Enhanced Panoramic Image Generation with GAN and CLIP Models: 《Journal of Beijing Institute of Technology》2025年第1期91-101,共11页Shilong Li Qiang Zhao; Panoramic images, offering a 360-degree view, are essential in virtual reality(VR) and augmented reality(AR), enhancing realism with high-quality textures. However, acquiring complete and high-quality panoramic textur...; 关键词：panoramic images environment texture generative adversarial networks(GANs) contrastive language-image pretraining(CLIP)model blender engine fine-grained control texture generation

ET-Net:A Novel Framework for Fine-Grained Traffic Classification in Intelligent Vehicle Applications: 《China Communications》2025年第1期265-276,共12页Wei Wenjie Ji Nan Gao Feiran Lin Fuhong; supported by National Key Research and Development Program of China(2022YFB3104903);S&T Program of Hebei(No.SZX2020034).; Intelligent vehicle applications provide convenience but raise privacy and security concerns.Misuse of sensitive data,including vehicle location,and facial recognition information,poses a threat to user privacy.Hence,...; 关键词：attention mechanism encrypted traffic classification intelligent vehicles privacy and security

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