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检索条件"机构=School of Computer Science and Engineering Center for CyberSecurity"
23558 条 记 录,以下是361-370 订阅
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Performance Analysis of VADER and RoBERTa Methods for Smart Retail Customer Sentiment on Amazon Go Store
Performance Analysis of VADER and RoBERTa Methods for Smart ...
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2023 International Conference on Modeling and E-Information Research, Artificial Learning and Digital Applications, ICMERALDA 2023
作者: Rahmania, Rissa Pohan, Husni Iskandar Arrahmah, Annisa Istiqomah Wibowo, Suryo Adhi School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia School of Electrical Engineering Telkom University Ai Center Bandung40257 Indonesia
The implementation of intelligent systems in the retail industry is still limited in various regions of the world. Amazon Go currently has four stores, located in the Seattle area, and has received customer reviews ba... 详细信息
来源: 评论
Automated heart disease prediction using improved explainable learning-based technique
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Neural Computing and Applications 2024年 第26期36卷 16289-16318页
作者: Bizimana, Pierre Claver Zhang, Zuping Hounye, Alphonse Houssou Asim, Muhammad Hammad, Mohamed El-Latif, Ahmed A. Abd School of Computer Science and Engineering Central South University Changsha410083 China School of Mathematics and Statistics Central South University Changsha410008 China EIAS Data Science Lab College of Computer and Information Sciences and Center of Excellence in Quantum and Intelligent Computing Prince Sultan University Riyadh11586 Saudi Arabia School of Computer Science and Technology Guangdong University of Technology Guangzhou510006 China Department of Mathematics and Computer Science Faculty of Science Menoufia University Shebin El-Koom Egypt Information Technology Department Faculty of Computers and Information Menoufia University Shebin El-Koom Egypt
Heart disease (HD) stands as a major global health challenge, being a predominant cause of death and demanding intricate and costly detection methods. The widespread impact of heart failure, contributing to increased ... 详细信息
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Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming  13
Dimensionality Reduction for Classification Using Divide-and...
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13th IEEE Congress on Evolutionary Computation, CEC 2024
作者: Wang, Peng Xue, Bing Liang, Jing Zhang, Mengjie School of Electrical and Information Engineering Zhengzhou University Zhengzhou China Center for Data Science and Artificial Intelligence School of Engineering and Computer Science Victoria University of Wellington Wellington New Zealand School of Electrical Engineering and Automation Henan Institute of Technology Xinxiang China
Dimensionality reduction (DR) is to obtain meaningful low-dimensional representation concealed within high-dimensional data. Genetic programming (GP) has been used to achieve DR for classification because of the flexi... 详细信息
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PCA Dimensionality Reduction Algorithm Based on Ordered Pair of Normalized Real Numbers  17
PCA Dimensionality Reduction Algorithm Based on Ordered Pair...
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17th International Congress on Image and Signal Processing, BioMedical engineering and Informatics, CISP-BMEI 2024
作者: Zhao, Xiang Zheng, Yi Pan, Xiaoqin Zhou, Lei School of Computer Science and Technology Southwest University of Science and Technology China Engineering Technology Center Southwest University of Science and Technology China School of Mathematics and Physics Southwest University of Science and Technology Sichuan621010 China
This paper presents a PCA (Principal Component Analysis) data dimensionality reduction algorithm based on OPNs (Ordered Pair of Normalized Real Numbers), referred to as OPNs-PCA. This algorithm aims to improve the dim... 详细信息
来源: 评论
Real-Time Lightweight Convolutional Neural Network for Polyp Detection in Endoscope Images
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Journal of Shanghai Jiaotong University (science) 2025年 第3期30卷 521-534页
作者: Si, Bingqi Pang, Chenxi Wang, Zhiwu Jiang, Pingping Yan, Guozheng School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China Shanghai Engineering Research Center of Intelligent Drug Detoxification and Rehabilitation Shanghai200240 China College of Computer Science and Technology Jilin University Changchun130012 China
Colorectal cancer is the most common cancer with a second mortality rate. Polyp lesion is a precursor symptom of colorectal cancer. Detection and removal of polyps can effectively reduce the mortality of patients in t... 详细信息
来源: 评论
Pairwise tagging framework for end-to-end emotion-cause pair extraction
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Frontiers of computer science 2023年 第2期17卷 111-120页
作者: Zhen WU Xinyu DAI Rui XIA National Key Laboratory for Novel Software Technology Nanjing UniversityNanjing 210023China Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing 210023China School of Computer Science and Engineering Nanjing University of Science and TechnologyNanjing 210023China
Emotion-cause pair extraction(ECPE)aims to extract all the pairs of emotions and corresponding causes in a *** generally contains three subtasks,emotions extraction,causes extraction,and causal relations detection bet... 详细信息
来源: 评论
Dual-branch Complementary Multimodal Interaction Mechanism for Joint Video Moment Retrieval and Highlight Detection
Dual-branch Complementary Multimodal Interaction Mechanism f...
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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024
作者: Liang, Xuehui Wang, Ruomei Lin, Ge Feng, Jiawei Luo, Yuanmao School of Computer Science and Engineering Sun Yat-sen University National Engineering Research Center of Digital Life Guangzhou China School of Software Engineering Sun Yat-sen University Zhuhai China
Joint video moment retrieval and highlight detection is a video understanding task that requires the model to construct multimodal interaction between heterogeneous features. Recent Transformer-based models mainly foc... 详细信息
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A Robust Low-Rank Tensor Decomposition and Quantization based Compression Method  40
A Robust Low-Rank Tensor Decomposition and Quantization base...
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40th IEEE International Conference on Data engineering, ICDE 2024
作者: Ouyang, Yudian Xie, Kun Wen, Jigang Xie, Gaogang Li, Kenli College of Computer Science and Electronics Engineering Hunan University Changsha China Hangzhou Institute of Advanced Technology Hangzhou China School of Computer Science and Engineering Hunan University of Science and Technology Xiangtan China Institute of Computer Network Information Center Chinese Academy of Sciences Beijing China
Tensor data is widely used in fields such as smart grids, cloud systems, and deep learning. As the scale of this data increases, storage and transmission costs rise significantly. Many tensor data exhibit low-rank str... 详细信息
来源: 评论
Detecting Double Mixed Compressed Images Based on Quaternion Convolutional Neural Network
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Chinese Journal of Electronics 2024年 第3期33卷 657-671页
作者: Hao WANG Jinwei WANG Xuelong HU Bingtao HU Qilin YIN Xiangyang LUO Bin MA Jinsheng SUN Department of Automation Nanjing University of Science and Technology Engineering Research Center of Digital Forensics Ministry of Education Department of Computer and Software Nanjing University of Information Science and Technology School of Management Nanjing University of Posts and Telecommunications Department of Computer Science and Engineering Guangdong Province Key Laboratory of Information Security Technology Sun Yat-sen University State Key Laboratory of Mathematical Engineering and Advanced Computing Qilu University of Technology
Detection of color images that have undergone double compression is a critical aspect of digital image *** the existence of various methods capable of detecting double Joint Photographic Experts Group(JPEG) compressio... 详细信息
来源: 评论
Combining Fourier-based Channel Attention with TCN and Informer for Railway Accident Prediction  15
Combining Fourier-based Channel Attention with TCN and Infor...
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15th IEEE Global Reliability and Prognostics and Health Management Conference, PHM-Beijing 2024
作者: Shen, Nahao Li, Honghui Bai, Yanhui Yang, Xiaorui He, Ruiyi School of Computer Science and Technology Beijing Jiaotong University Beijing China School of Computer Science and Technology Beijing Jiaotong University Engineering Research Center of Network Management Technology for High Speed Railway of MOE Beijing China
The rapid expansion of railway networks and technological advancements has introduced significant challenges in ensuring railway safety. To address the critical need for effective prediction and prevention mechanisms,... 详细信息
来源: 评论