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- 作者: 赵鹏,马宇群 ( 太原师范学院计算机科学与技术学院 )
- 出处: 1151 2026 第5期
期刊
- 作者: Guimei Yin, Mengzhen Yin, Guangxing Guo, Jie Yuan, Xiaoxiao Ma, Lin Wang, Peng Zhao, Dongli Shi, Yanli Zhao, Zilong Zhao, Bin Wang, Shuping Tan ( Affiliations 1 College of Computer Science and Technology, Taiyuan Normal University, Jinzhong, 030619, China. yinguimeicn@126.com. 2 College of Computer Science and Technology, Taiyuan Normal University, Jinzhong, 030619, China. 3 Institute of Big Data Technology Analysis and Application, Taiyuan Normal University, Jinzhong, 030619, China. 4 Department of Radiology, Shanxi Provincial People's Hospital, Taiyuan, 030012, China. 5 Psychiatry Research Center, Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, 100096, China. 6 School of Chemical Engineering and Technology, Sun Yat-sen University, Zhuhai, 519080, China. 7 College of Computer Science and Technology, Taiyuan University of Technology, Jinzhong, 030600, China. )
- 出处: 3351 2026 Vol.16 No.1 P4532
- 关键词: Generating adversarial networks Graph attention networks Image quality coefficient Persistence image Schizophrenia.
- 摘要: Generative Adversarial Networks, a popular deep learning method, have achieved excellent performance in both classification and prediction tasks. Howe
期刊
- 作者: Guimei Yin,Mengzhen Yin,Guangxing Guo,Jie Yuan,Xiaoxiao Ma,Lin Wang,Peng Zhao,Dongli Shi,Yanli Zhao,Zilong Zhao,Bin Wang,null,Shuping Tan ( 1College of Computer Science and Technology, Taiyuan Normal University, Jinzhong, 030619, China;2Institute of Big Data Technology Analysis and Application, Taiyuan Normal University, Jinzhong, 030619, China;3Department of Radiology, Shanxi Provincial People’s Hospital, Taiyuan, 030012, China;4Psychiatry Research Center, Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, 100096, China;5School of Chemical Engineering and Technology, Sun Yat-sen University, Zhuhai, 519080, China;6College of Computer Science and Technology, Taiyuan University of Technology, Jinzhong, 030600, China )
- 出处: 3856 2026 Vol.16
- 关键词: Graph attention networks Generating adversarial networks Image quality coefficient Persistence image Schizophrenia
- 摘要: Generative Adversarial Networks, a popular deep learning method, have achieved excellent performance in both classification and prediction tasks. Howe
- 作者: Peng Zhao,Guanglei Qiang,Yangrui Fan,Yu Du,Junye Yang,Zhen Tian ( 1School of Computer Science and Technology, Taiyuan Normal University, Jinzhong 030619, China;2James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK )
- 出处: 4034 2025 Vol.16 No.12 P1021
- 关键词: YOLO11 logistics package FasterNet GhostDynamicConv
- 摘要: In response to the rapidly increasing volume of express parcels, the challenges of insufficient detection accuracy and slow response speed in express
- 作者: Huijuan Guo,Baoning Niu,Ying Huang,Hu Guan,Peng Zhao ( 1The School of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China;2The School of Computer Science and Technology, Taiyuan Normal University, Jinzhong, China;3The School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China;4The Institute of Automation, Chinese Academy of Sciences, Beijing, China )
- 出处: 4342 2025 P130060
- 摘要: Digital image watermarking hides copyright information in digital images and allows for its extraction when necessary to confirm ownership. Impercepti
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点击量:4
- 作者: Huijuan Guo,Baoning Niu,Ying Huang,Hu Guan,Peng Zhao ( 1The School of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China;2The School of Computer Science and Technology, Taiyuan Normal University, Jinzhong, China;3The School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China;4The Institute of Automation, Chinese Academy of Sciences, Beijing, China )
- 出处: 4342 2025 Vol.637 P130060
- 摘要: Digital image watermarking hides copyright information in digital images and allows for its extraction when necessary to confirm ownership. Impercepti
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点击量:1
- 作者: Zhao, Peng,Wang, Wenjian,Wu, Di,Zhang, Hong ( aCollege of Computer Science and Technology, Taiyuan Normal University, Jinzhong, 030619, China;bSchool of Computer and Information Technology, Shanxi University, Taiyuan, 030006, China;cSchool of Computer Science and Technology, Dalian University of Technology, Dalian, 116081, China )
- 出处: 4499 2025 Vol.45 No.1 P115-122
- 关键词: Bitcoin transactions blockchain anomaly transaction detection random forest XGBoost
- 摘要: The escalating occurrences of events such as hacking attacks,phishing,and ransomware have propelled blockchain anomaly transaction detection into a fo
- 作者: 赵鹏,郭赟泽,李军,卢波 ( 太原师范学院计算机科学与技术学院 )
- 出处: 2455 2025 第26卷 第3期 P177-180,228
- 关键词: 区块链数据共享 SM4算法 Diffie-Hellman 密钥安全
- 摘要: 随着区块链技术的兴起,以往的数据共享系统中存在中心化的问题可以通过区块链的去中心化技术解决,但现在基于区块链的数据共享技术往往存在着加密成本过大,算法复杂度过高,安全性难以得到保证等问题。加密效率低,数据共享时间大,耗费的时间更多。为此提出基于改进后的SM4算法的区块链数据共享系统设计,以解决现存区
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点击量:6
- 作者: 赵鹏,高帅军,卢波,李金晟 ( 太原师范学院计算机科学与技术学院 )
- 出处: 391 2025 第41卷 第2期 P1-9
- 关键词: 异步拜占庭协议 可靠性 冷却轮次 去中心化
- 摘要: 针对现有的双路径异步拜占庭算法存在的完全随机获取领导者算法中缺乏可靠性机制导致算法陷入悲观路径的频率较高和干预领导者选举后可能产生的中心化问题,设计了一种高效的双路径异步拜占庭算法Azir。首先,引入了可靠性机制,降低了共识算法陷入悲观路径的频率,从而提高了共识的稳定性和效率。其次,引入了冷却轮次,
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点击量:1
- 作者: 陈思,赵鹏,杨潞霞 ( 太原师范学院计算机科学与技术学院 )
- 出处: 218 2025 第46卷 第4期 P180-185
- 关键词: 多级实体关联 关联相似度 光栅断点 故障数据 并行挖掘
- 摘要: 在光栅断点故障数据中,存在多种类型的实体,这些实体具有多个层级,导致关联分析变得复杂,加大了故障数据挖掘的难度。多级实体关联分析考虑了故障数据的多层次特性,通过关联相似性能够对故障数据进行更为全面的捕捉。因此,提出基于多级实体关联的光栅断点故障数据并行挖掘方法。采用多级实体关联模型,通过层次化分析计