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检索条件"机构=Intelligent Information Perception and Processing Technology"
109 条 记 录,以下是91-100 订阅
排序:
Thymine-Hg2+-Thymine Strategy in Mof-Based Electrochemical Aptamer Sensor for Paes Detection
SSRN
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SSRN 2024年
作者: Liu, Xiaofang Diao, Zhan Liu, Huan Wang, Qun Lei, Jincan Huo, Danqun Hou, Jingzhou Hou, Changjun Key Laboratory for Biorheological Science and Technology Ministry of Education Bioengineering College Chongqing University Chongqing400044 China Chongqing Engineering and Technology Research Center of Intelligent Rehabilitation and Eldercare Chongqing City Management College Chongqing401331 China Key Laboratory of Condiment Supervision Technology for State Market Regulation Chongqing Institute for Food and Drug Control Chongqing401121 China Chongqing Key Laboratory of Bio-perception & Intelligent Information Processing School of Microelectronics and Communication Engineering Chongqing University Chongqing400044 China
Phthalate acid esters (PAEs), known food contaminants, can lead to reproductive problems, respiratory diseases, childhood obesity, and neuropsychological disorders. This work aims to develop an electrochemical aptamer... 详细信息
来源: 评论
An Ultra-Sensitive Dual-Signal Ratio Electrochemical Aptamer Biosensor for Detection of Her2
SSRN
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SSRN 2022年
作者: Zhang, Ya Xu, Ying Li, Ning Qi, Na Yang, Mei Peng, Lan Hou, Changjun Huo, Danqun Key Laboratory for Biorheological Science and Technology Ministry of Education Bioengineering College Chongqing University Chongqing 400044 China Chongqing University China Chongqing Key Laboratory of Bio-perception & Intelligent Information Processing School of Microelectronics and Communication Engineering Chongqing University Chongqing 400044 China National Facility for Translational Medicine Shanghai Jiao Tong University Shanghai 200240 China
Electrochemical biosensor technology has the characteristics of simple fabrication, low loss, high sensitivity, short consumption time and easy to carry, which is conducive to its rapid application. However, its accur... 详细信息
来源: 评论
Learning data-adaptive non-parametric kernels
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2020年 第1期21卷 8590-8628页
作者: Fanghui Liu Xiaolin Huang Chen Gong Jie Yang Li Li Department of Electrical Engineering ESAT-STADIUS KU Leuven Belgium Institute of Image Processing and Pattern Recognition Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China PCA Lab Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education School of Computer Science and Engineering Nanjing University of Science and Technology China and Department of Computing Hong Kong Polytechnic University Hong Kong SAR China Department of Automation BNRist Tsinghua University China
In this paper, we propose a data-adaptive non-parametric kernel learning framework in margin based kernel methods. In model formulation, given an initial kernel matrix, a data-adaptive matrix with two constraints is i... 详细信息
来源: 评论
Hybrid Data-Free Knowledge Distillation
arXiv
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arXiv 2024年
作者: Tang, Jialiang Chen, Shuo Gong, Chen School of Computer Science and Engineering Nanjing University of Science and Technology China Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education China Jiangsu Key Laboratory of Image and Video Understanding for Social Security China Center for Advanced Intelligence Project RIKEN Japan Department of Automation Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China
Data-free knowledge distillation aims to learn a compact student network from a pre-trained large teacher network without using the original training data of the teacher network. Existing collection-based and generati... 详细信息
来源: 评论
Analysis of river morphology change in Zhengzhou reach of the Yellow River based on long time series remote sensing images
Analysis of river morphology change in Zhengzhou reach of th...
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2024 International Conference on Remote Sensing, Mapping, and Geographic information Systems, RSMG 2024
作者: Li, Ziwei Liang, Bingjie Chen, Yi Ge, Wen Deng, Xingran Jianzhong, Guo The College of Geography and Environmental Science Henan University No. 379 North Mingli Road Henan Province Zhengzhou450001 China Collaborative Innovation Center of Geo-Information Technology for Smart Central Plains Henan Province Zhengzhou450001 China Key Laboratory of Spatiotemporal Perception and Intelligent processing Ministry of Natural Resources Henan Province Zhengzhou450001 China Yellow River Institute of Hydraulic Research Yellow River Conservancy Commission Zhengzhou450003 China China Construction Eighth Engineering Division Rall Transit Construction Co Ltd Zhongjian Building No.6 Wenlan Road Xianlin University Town Qixia District Jiangsu Province Nanjing City210023 China
The Zhengzhou reach of the Yellow River is a typical meandering section with frequent changes in river morphology. In this paper, using satellite remote sensing technology and Landsat 8 satellite imagery data, the mor... 详细信息
来源: 评论
Cross-Modality Perturbation Synergy Attack for Person Re-identification
arXiv
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arXiv 2024年
作者: Gong, Yunpeng Zhong, Zhun Qu, Yansong Luo, Zhiming Ji, Rongrong Jiang, Min School of Informatics Xiamen University China School of Computer Science and Information Engineering Hefei University of Technology China Department of Artificial Intelligence Key Laboratory of Multimedia Trusted Perception and Efficient Computing Ministry of Education of China School of Informatics Key Laboratory of Digital Protection and Intelligent Processing of Intangible CulturalHeritage of Fujian and Taiwan Ministry of Culture and Tourism Xiamen University Fujian Xiamen361005 China
In recent years, there has been significant research focusing on addressing security concerns in single-modal person re-identification (ReID) systems that are based on RGB images. However, the safety of cross-modality... 详细信息
来源: 评论
A Three-Modal Fluorescent Sensor Harnessing Diverse Luminescent Mechanisms for the Purpose of Segmented Baijiu Identification
SSRN
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SSRN 2023年
作者: Hou, Changjun Chen, Lin Mao, Zhenyu Ma, Yi Luo, Huibo Zhang, Suyi Huo, Danqun Chongqing University China Key Laboratory for Biorheological Science and Technology of Ministry of Education Bioengineering College of Chongqing University Chongqing400044 China Liquor Making Biology Technology Application of Key Laboratory of Sichuan Province College of Bioengineering Sichuan University of Science and Engineering 188 University Town Yibin644000 China Chongqing Key Laboratory of Bio-perception & Intelligent Information Processing School of Microelectronics and Communication Engineering Chongqing University Chongqing400044 China
The classification and verification of segmented Baijiu hold significant importance as they profoundly influence the blending and overall quality of the Baijiu. Our scholarly investigation yielded a fluorescent sensor... 详细信息
来源: 评论
The Microsphere of Sodium Alginate-Chitosan-Pichia Kudriavzevii Enhanced Esterase Activity to Increase the Content of Esters in Baijiu Solid-State Fermentation
SSRN
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SSRN 2022年
作者: Huang, Jiaqing Qiao, Cailin Wang, Xinrou Gao, Yuwei Zhao, Jinsong Luo, Huibo Wang, Yongzhong Huo, Danqun Hou, Changjun Key Laboratory for Biorheological Science and Technology Ministry of Education College of Bioengineering Chongqing University Chongqing400044 China Liquor Making Biology Technology and Application of Key Laboratory of Sichuan Province College of Bioengineering Sichuan University of Science and Engineering 188 University Town Yi bin Sichuan 644000 China Chongqing Key Laboratory of Bio-perception & Intelligent Information Processing School of Microelectronics and Communication Engineering Chongqing University Chongqing400044 China Chongqing University China
Herein, P. kudriavzevii cells were immobilized in a gel network formed by chitosan and sodium alginate to form sodium alginate/chitosan-P. kudriavzevii microspheres (AS/CS-PMs). Their structural characteristics and fo... 详细信息
来源: 评论
Multi-Party dual learning
arXiv
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arXiv 2021年
作者: Gong, Maoguo Gao, Yuan Xie, Yu Qin, A.K. Pan, Ke Ong, Yew-Soon The School of Electronic Engineering Key Laboratory of Intelligent Perception and Image Understanding Ministry of Education Xidian University Xi'an Shaanxi Province710071 China The Key Laboratory of Computational Intelligence and Chinese Information Processing Ministry of Education Shanxi University Taiyuan030006 China The Department of Computer Science and Software Engineering Swinburne University of Technology Melbourne Australia The School of Computer Science and Engineering Nanyang Technological University Singapore639798 Singapore
The performance of machine learning algorithms heavily relies on the availability of a large amount of training data. However, in reality, data usually reside in distributed parties such as different institutions and ... 详细信息
来源: 评论
Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network
arXiv
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arXiv 2022年
作者: Li, Wenjie Li, Juncheng Gao, Guangwei Deng, Weihong Yang, Jian Qi, Guo-Jun Lin, Chia-Wen Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100080 China Intelligent Visual Information Perception Laboratory Institute of Advanced Technology Nanjing University of Posts and Telecommunications Nanjing210046 China Key Laboratory of Artificial Intelligence Ministry of Education Shanghai200240 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou215006 China School of Communication and Information Engineering Shanghai University Shanghai200444 China School of Computer Science and Technology Nanjing University of Science and Technology Nanjing210094 China Research Center for Industries of the Future the School of Engineering Westlake University Hangzhou310024 China OPPO Research SeattleWA98101 United States Department of Electrical Engineering National Tsing Hua University Hsinchu30013 Taiwan
Lightweight image super-resolution aims to reconstruct high-resolution images from low-resolution images using low computational costs. However, existing methods result in the loss of middle-layer features due to acti... 详细信息
来源: 评论