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学院简介:成果数量:30

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本院科研趋势: 发文数量 期刊收录
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作者: Li MA1;Dehuang HUANG2;Yanfang WANG1; (1Zhongshan Yangshi Technology Co., Ltd, Zhongshan 528400, China;2Zhongshan research Institute, Beijing Institute of technology, Zhongshan 528400, China)

出处: CT Lilun yu yingyong yanjiu 2024 Vol.33 No.3 P317-324

关键词: lung nodules;growth prediction;displacement field;time interval coding

摘要: While artificial intelligence has achieved considerable maturity in lung nodule detection, research on growth prediction remains limited. Accurate gro ...

作者: Wang, Hui1; Wang, Xiangyu1; Long, Guohui1; Wang, Ning1; Wang, Chao1; Shao, Liwei21College of Energy Science and Engineering, Harbin Institute of Technology, Harbin; 150001, China;2Zhongshan Research Institute Beijing Institute of Technology, Zhongshan; 528403, China)

出处: Measurement Science and Technology 2023 Vol.34 No.11

作者: Yan, Yangtian1; Gao, Yan1; Shao, Liwei2; Yu, Linquan1; Zeng, Wentao1

出处: 2022 Chinese Automation Congress, CAC 2022 Xiamen, China 2022

会议录: Vol.Vol.2022-January 2535-2540

作者: Binghang TANG;Yanfang WANG;Li MA;Qingwu CHEN;Liwei SHAO;Dehuang HUANG (1Zhongshan City People’s Hospital, Zhongshan 528404, China;2Zhongshan Yangshi Technology Co., Ltd, Zhongshan 528400, China;3Zhongshan Research Institute, Beijing Institute of Technology, Zhongshan 528405, China)

出处: CT Lilun yu yingyong yanjiu 2022 Vol.31 No.1 P63-72

关键词: temporal segment networks;mixed attention;pulmonary nodules

摘要: In order to solve the problem of high false positives in the candidate detection stage of pulmonary nodules CAD system, this paper proposes a method t ...

作者: Hao, Ying1; Che, Jianfeng2; Dong, Lei3; Wang, Lijie1; Zhan, Wenhua4; Guo, Hongwu41Department of Automation, Beijing Information Science and Technology University, Beijing; 100192, China;2China Electric Power Research Institute, Beijing; 100192, China;3Zhongshan Research Institute, Beijing Institute of Technology, Zhongshan; 528437, China;4Chifeng Power Supply Company, State Grid Inner Mongolia East Power Co., Ltd., Chifeng; 024000, China)

出处: Taiyangneng Xuebao/Acta Energiae Solaris Sinica 2022 Vol.Vol.43 No.No.6 P106-114

作者: Ji, Deyang1; Jin, Feng2; Dong, Lei2; Zhang, Shan2; Yu, Kunyang31Zhongshan Research Institute, Beijing Institute of Technology, Zhongshan; 528437, China;2School of Automation, Beijing Institute of Technology, Haidian District, Beijing; 100081, China;3Air Force Equipment Department of 93126 Troop, Haidian District, Beijing; 100081, China)

出处: Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering 2022 Vol.42 No.4 P1514-1522

作者: Dong, Lei1; Ran, Maoying1; Shao, Liwei1, 3; Gao, Mengqi1; Yu, Kunyang21School of Automation, Beijing Institute of Technology, Beijing; 100081, China;2Unit 93126, 93126, Beijing; 100081, China;3Zhongshan Research Institute, Beijing Institute of Technology, Guangdong, Zhongshan; 528437, China)

出处: Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology 2022 Vol.42 No.7 P741-748

作者: Xin, Xiuli1; Pan, Feng1; Wang, Jiacheng1; Feng, Xiaoxue1; Shao, Liwei2

出处: 41st Chinese Control Conference, CCC 2022 Hefei, China 2022

会议录: Vol.Vol.2022-July 7326-7331

作者: Xiuli Xin1;,Feng Pan1;,Jiacheng Wang1;,Xiaoxue Feng1;,Liwei Shao2; (1School of Automation,Beijing Institute of Technology;2Zhongshan Research Institute,Beijing Institute of Technology)

出处: 第41届中国控制会议 supported by National Natural Science Foundation (NNSF) of China under Grant 61973036 2022

会议录: 第41届中国控制会议

关键词: Object;Detection;infrared;image;YOLOv5s;algorithm;CBAM;Swin;Transformer;Encoder

摘要: Infrared vehicle-mounted target detection is an important research direction in assisted driving,but also a very challenging topic.Existing infrared t ...

作者: Ji, Deyang1, 2; Jin, Feng1; Dong, Lei1, 2; Hao, Ying31School of Automation, Beijing Institute of Technology, Beijing; 100081, China;2Zhongshan Research Institute, Beijing Institute of Technology, Zhongshan; 528437, China;3School of Automation, Beijing Information Science and Technology University, Beijing; 100192, China)

出处: Taiyangneng Xuebao/Acta Energiae Solaris Sinica 2022 Vol.43 No.5 P173-179

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