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检索条件"机构=School of Computer and Software and Jiangsu Engineering"
674 条 记 录,以下是1-10 订阅
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Local Optimisation Based Detection of Weak Targets in Isolated Forests  24
Local Optimisation Based Detection of Weak Targets in Isolat...
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8th International Conference on Electronic Information Technology and computer engineering, EITCE 2024
作者: Hu, Jurong Xing, Yanxiao Li, Yuxiao School of Information Science and Engineering Hohai University Jiangsu Nanjing China School of Computer and Software Hohai University Jiangsu Nanjing China
Aiming at the problem that the iForest algorithm is not sensitive enough to local anomalies and produces a large number of false alarms in the detection results on some low sea state datasets, this paper proposes the ... 详细信息
来源: 评论
A Question-and-Answer Scheme of Clinical Practice Guidelines Based on SDA  24
A Question-and-Answer Scheme of Clinical Practice Guidelines...
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5th International Symposium on Artificial Intelligence for Medicine Science, ISAIMS 2024
作者: Zhang, Zhizheng Yang, Qian Du, Yan School of Computer Science and Engineering Southeast University Jiangsu Nanjing China Joint Graduate School Southeast University Jiangsu Nanjing China School of Software Engineering Southeast University Jiangsu Nanjing China
This paper proposes a medical diagnosis and treatment knowledge question and answer scheme based on clinical practice guidelines, aiming at the need of standardization of medical process and popularization of medical ... 详细信息
来源: 评论
Reflective clothing detection based on YOLOv5s fused with SE attention mechanism
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International Journal of Reasoning-based Intelligent Systems 2025年 第1期17卷 9-16页
作者: Wang, Yuanyuan Gu, Dingyun Zhu, Yemeng Zhang, Zhihan Cao, Jiahui Zhang, Haiyan School of Computer and Software Engineering Huaiyin Institute of Technology Huaian223001 China Engineering Laboratory of Mobile Interconnection Technology for Internet of Things Jiangsu Province Huai’an Huaian City223001 China
This paper proposes a YOLOv5s deep learning algorithm incorporating the SE attention mechanism to address the issue of workers failing to wear reflective clothing on duty, which has resulted in casualties from time to... 详细信息
来源: 评论
A Method for Extracting Small Water Areas Based on an Improved FPN Network  19
A Method for Extracting Small Water Areas Based on an Improv...
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19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025
作者: Yu, Yufeng Wang, Meixiang Zhao, Qun Wang, Yong Chen, Qingqing Department of Computer and Software Hohai University Jiangsu Nanjing211108 China School of Computer Engineering Nanjing Institute of Technology Jiangsu Nanjing211167 China Bank of Nanjing Co. Nanjing Jiangsu211800 China Aerosun Corporation Information Center Jiangsu Nanjing China
Small water areas such as river branches, lakes, and ponds are vital components of aquatic ecosystems closely linked to human activities. Extracting small water areas from remote sensing images holds significant impor... 详细信息
来源: 评论
Collaborative graph contrastive learning for recommendation
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Journal of Intelligent and Fuzzy Systems 2025年 第1-2期48卷 33-46页
作者: Wei, Tao Yang, Changchun Zheng, Yanqi Zhang, Jingxue School of Computer Science and Artificial Intelligence Aliyun School of Big Data School of Software Changzhou University Jiangsu Changzhou China School of Microelectronics and Control Engineering Changzhou University Jiangsu Changzhou China
Recently, Graph Neural Networks (GNNs) using aggregating neighborhood collaborative information have shown effectiveness in recommendation. However, GNNs-based models suffer from over-smoothing and data sparsity probl... 详细信息
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Optimizing Secure Multi-User ISAC Systems With STAR-RIS: A Deep Reinforcement Learning Approach for 6G Networks
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IEEE Access 2025年 13卷 31472-31484页
作者: Kamal, Mian Muhammad Zain Ul Abideen, Syed Al-Khasawneh, M.A. Alabrah, Amerah Sohail Ahmed Larik, Raja Irfan Marwat, Muhammad Southeast University School of Electronic Science and Engineering Jiangning Jiangsu Nanjing211189 China Qingdao University College of Computer Science and Technology Qingdao266071 China Al-Ahliyya Amman University Hourani Center for Applied Scientific Research Amman19111 Jordan Skyline University College School of Computing University City Sharjah Sharjah United Arab Emirates King Saud University College of Computer and Information Science Department of Information Systems Riyadh11543 Saudi Arabia Ilma University Department of Computer Science Sindh Karachi75190 Pakistan University of Science and Technology Bannu Department of Software Engineering Bannu28100 Pakistan
The rapid evolution of wireless communication technologies and the increasing demand for multi-functional systems have led to the emergence of integrated sensing and communication (ISAC) as a key enabler for future 6G... 详细信息
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A spectrum-enhanced attention model for semantic segmentation of remote sensing images
A spectrum-enhanced attention model for semantic segmentatio...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Li, Xin Xu, Feng Tao, Feifei Tong, Yao Lyu, Xin Zhong, Jianyi Kaup, André College of Computer Science and Software Engineering Hohai University Nanjing China Key Laboratory of Water Big Data Technology Ministry of Water Resources Hohai University Nanjing China School of Computer Engineering Jiangsu Ocean University Lianyungang China School of Artificial Intelligence and Information Technology Nanjing University of Chinese Medicine Nanjing China Multimedia Communications and Signal Processing Friedrich-Alexander University Erlangen-Nuremberg Erlangen Germany
Semantic segmentation of remote sensing images (RSIs) is essential for applications such as environmental monitoring, urban planning, and disaster management. Convolutional Neural Networks (CNNs) and their variants st... 详细信息
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FedVC: Virtual Clients for Federated Learning with Imbalanced Label Distribution  24
FedVC: Virtual Clients for Federated Learning with Imbalance...
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3rd International Conference on Algorithms, Data Mining, and Information Technology, ADMIT 2024
作者: Chen, Zhouguo Chen, Hongda Liu, Shuai Liu, Yongdong Schoolof Computer Science and Engineering Southeast University Jiangsu Nanjing China The 30th Research Institute of China Electronics Technology Group Corporation Sichuan Chengdu China School of Software Engineering Xian Jiaotong University Shaanxi Xian China China Industrial Control Systems Cyber Emergency Response Team Beijing China
Federated Learning (FL) has gained considerable attention for collaborative training in big data analysis, particularly in terms of privacy and communication constraints. Despite its promising advantages, FL faces the... 详细信息
来源: 评论
A Method for Extracting Small Water Areas Based on an Improved FPN Network
A Method for Extracting Small Water Areas Based on an Improv...
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International Conference on Ubiquitous Information Management and Communication (IMCOM)
作者: Yufeng Yu Meixiang Wang Qun Zhao Yong Wang Qingqing Chen Department of Computer and Software Hohai University Nanjing Jiangsu China School of Computer Engineering Nanjing Institute of Technology Nanjing Jiangsu China Bank of Nanjing Co. Jiangsu Nanjing China Aerosun Corporation Information Center Nanjing Jiangsu China
Small water areas such as river branches, lakes, and ponds are vital components of aquatic ecosystems closely linked to human activities. Extracting small water areas from remote sensing images holds significant impor... 详细信息
来源: 评论
Corporate Fraud Detection in Rich-yet-Noisy Financial Graph
arXiv
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arXiv 2025年
作者: Wang, Shiqi Zhang, Zhibo Fang, Libing Nguyen, Cam-Tu Li, Wenzhon School of Artificial Intelligence Nanjing University Jiangsu Nanjing China School of Computer Science and Technology Nanjing University Jiangsu Nanjing China School of Management and Engineering Nanjing University Jiangsu Nanjing China State Key Laboratory for Novel Software Technology Nanjing University Jiangsu Nanjing China
Corporate fraud detection aims to automatically recognize companies that conduct wrongful activities such as fraudulent financial statements or illegal insider trading. Previous learning-based methods fail to effectiv... 详细信息
来源: 评论