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IDENTIFICATION: 作品数：2970被引量：6326H指数：22; 导出分析报告; 相关领域：医药卫生更多>>; 相关作者：韩天祥李重九张伟国吴平夏铭更多>>; 相关机构：中国科学院中国农业大学清华大学北京大学更多>>; 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国家高技术研究发展计划中国博士后科学基金更多>>

Selective procedure for the instant identification of cellular apoptosis induced by natural products: 《World Journal of Methodology》2025年第3期108-113,共6页Ying-Yu Cui; Supported by 2023 Key R&D Projects of Tongji University,No.150029607160-24323;Industrial Key Program Foundation of Guangdong Province:R&D of Natural Novel Anticancer Drugs,No.2004B10401033。; BACKGROUND Recently,the identification of cell apoptosis induced by natural products has become research hotspot and frontier in the biopharmaceutical and food industries under the umbrella of global green development...; 关键词：Apoptosis identification Fluorescence microscopy DNA gel electrophoresis Flow cytometry Pinus massoniana bark extract One transient cell processing procedure

Strength prediction and cuttability identification of rock based on monitoring while cutting(MWC)using a conical pick: 《International Journal of Minerals,Metallurgy and Materials》2025年第5期1025-1043,共19页Shaofeng Wang Yumeng Wu Xinlei Shi Xin Cai Zilong Zhou; supported by the National Natural Science Foundation of China(Nos.52174099 and 52474168);the Science and Technology Innovation Program of Hunan Province,China(No.2023RC3050);the Natural Science Foundation of Hunan,China(No.2024JJ4064);the Open Fund of the State Key Laboratory of Safety Technology of Metal Mines(No.kfkt2023-01).; Real-time identification of rock strength and cuttability based on monitoring while cutting during excavation is essential for key procedures such as the precise adjustment of excavation parameters and the in-situ mod...; 关键词：conical picks strength prediction cuttability identification machine learning monitoring while cutting

TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification: 《Machine Intelligence Research》2025年第2期337-351,共15页Yichao Yan Junjie Li Shengcai Liao Jie Qin; Domain generalizable person re-identification(reid)is a challenging task in computer vision,which aims to apply a trained reid model to unseen domains.Prior works either combine the data in all the training domains to...; 关键词：Person re-identification domain generalization image retrieval representation learning computer vision.

Person Re-Identification Based on Spatial Feature Learning and Multi-Granularity Feature Fusion: 《Journal of Shanghai Jiaotong university(Science)》2025年第2期363-374,共12页DIAO Zijian CAO Shuai LI Wenwei LIANG Jianan WEN Guilin HUANG Weici ZHANG Shouming; the Foshan Science and technology Innovation Team Project(No.FS0AA-KJ919-4402-0060);the National Natural Science Foundation of China(No.62263018)。; In view of the weak ability of the convolutional neural networks to explicitly learn spatial invariance and the probabilistic loss of discriminative features caused by occlusion and background interference in pedestri...; 关键词：pedestrian re-identification spatial features attention spatial transformation network multi-branch network relation features

Leveraging Deep Learning for Precise Chronic Bronchitis Identification in X-Ray Modalities: 《Computers, Materials & Continua》2025年第4期381-405,共25页Fahad Ahmad Saad Awadh Alanazi Kashaf Junaid Maryam Shabbir Asim Ali; Image processing plays a vital role in various fields such as autonomous systems,healthcare,and cataloging,especially when integrated with deep learning(DL).It is crucial in medical diagnostics,including the early det...; 关键词：Deep learning chronic obstructive pulmonary disease chronic bronchitis convolutional neural network X-ray images

Microscopic and Ultraviolet Spectroscopic Identification of Pyrostegia venusta (Ker-Gawler.) Miers: 《Medicinal Plant》2025年第2期32-34,共3页Hailin LU Bin LI Zishu CHAI Zhiying WEI Wencheng WEN Jianning TAN; Supported by Scientific Research Program of Guangxi University of Chinese Medicine(P200246).; [Objectives] To identify Pyrostegia venusta (Ker-Gawler.) Miers by microscope and ultraviolet spectrum. [Methods] The paraffin section, slide section and freehand section were used to make the cross section of the ste...; 关键词：Microscopic identification Ultraviolet spectroscopic identification Pyrostegia venusta(Ker-Gawler.)Miers Quality standard

Enhancing mineral processing with deep learning: Automated quartz identification using thin section images: 《International Journal of Minerals,Metallurgy and Materials》2025年第4期802-816,共15页Gökhan Külekçi Kemal Hacıefendioğlu Hasan Basri Başağa; The precise identification of quartz minerals is crucial in mineralogy and geology due to their widespread occurrence and industrial significance.Traditional methods of quartz identification in thin sections are labor...; 关键词：quartz mineral identification deep learning hyperspectral imaging deep learning in geology

DeepSafe:Two-level deep learning approach for disaster victims detection: 《虚拟现实与智能硬件(中英文)》2025年第2期139-154,共16页Amir AZIZI Panayiotis CHARALAMBOUS Yiorgos CHRYSANTHOU; Supported by European Union’s Horizon 2020 Research and Innovation Program(739578);the Government of the Republic of Cyprus through the Deputy Ministry of Research,Innovation,and Digital Policy.; Background Efficient disaster victim detection(DVD)in urban areas after natural disasters is crucial for minimizing losses.However,conventional search and rescue(SAR)methods often experience delays,which can hinder th...; 关键词：Victims detection Deep learning Disaster management YOLO Victims identification

Abnormal Data Identification and Reconstruction Based on Wind Speed Characteristics: 《CSEE Journal of Power and Energy Systems》2025年第2期612-622,共11页Mao Yang Tian Peng Wei Zhang Xin Su Chao Han Fulin Fan; supported by the National Key R&D Program of China“Technology and application of wind power/photovoltaic power prediction for promoting renewable energy consumption”(2018YFB0904200).; High availability of wind power data is the basis for wind power research, but there are a large number of abnormal data in actual collected data, which seriously affects analysis of wind power law and reduces predict...; 关键词：Abnormal data bidirectional weighted random forest BiGRU CLOF RECONSTRUCTION wind power prediction wind speed characteristics

Application of Unmanned Aerial Vehicle Remote Sensing on Dangerous Rock Mass Identification and Deformation Analysis:Case Study of a High-Steep Slope in an Open Pit Mine: 《Journal of Earth Science》2025年第2期750-763,共14页Wenjie Du Qian Sheng Xiaodong Fu Jian Chen Jingyu Kang Xin Pang Daochun Wan Wei Yuan; financially supported by the Youth Innovation Promotion Association CAS(No.2021325);the National Natural Science Foundation of China(Nos.52179117,U21A20159);the Research project of Panzhihua Iron and Steel Group Mining Co.,Ltd.(No.2021-P6-D2-05)。; Source identification and deformation analysis of disaster bodies are the main contents of high-steep slope risk assessment,the establishment of high-precision model and the quantification of the fine geometric featur...; 关键词：high-steep slope UAV remote sensing dangerous rock identification multi-temporal monitoring multi-source data fusion engineering geology

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