作者:
Hangxu Ji1;
出处: Future Generation Computer Systems 2022 Vol.141 P67-80
摘要: The new computing model, mixed batch-stream data processing, plays a crucial role in big spatiotemporal data managements. As the core of the above com ...
作者: Fu Fan1;ZhiXiong Na2;ChangZhi Zhang3;HaoRan Li3;ChaoLiu Tong4; (1School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China;2State Grid e-commerce Co., Ltd, Beijing 100053, China;3State Grid Tianjin Electric Power Company, Tianjin 300010, China;4Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, School of Automation, Southeast University, Nanjing 210096, China)
出处: Journal of Physics: Conference Series 2022 Vol.2310 P012076
摘要: With the installation and use of large-scale photovoltaic systems around the world, the detection of photovoltaic system operation and maintenance has ...
作者: 邸慧军,宋凌霄,余晓,王蔚然 (北京理工大学计算机学院)
出处: 北京理工大学学报 2022 第42卷 第11期 P1175-1183
关键词: 人群密度估计;多尺度学习;视觉注意力;深度学习
摘要: 基于卷积神经网络的人群计数方法促使人群计数精度取得了显著提高.然而,密集人群中的人头尺度变化与复杂环境干扰仍是影响网络计数精度的主要因素.本文提出了一种基于局部-全局双分支网络对密集人群计数.局部分支主要由尺度感知特征提取模块实现,以建模密集人群中人头的尺度变化.全局分支主要由位置感知注意力模块实现 ...
作者: Zohaib Latif1;Qasim Umer2;Choonhwa Lee1;Kashif Sharif3;Fan Li3;Sujit Biswas4; (1 Department of Computer Science, Hanyang University, Seoul 04763, Korea. 2 Department of Computer Science, COMSATS University Islamabad, Vehari Campus, Vehari 61100, Pakistan. 3 School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China. 4 Computer Science and Digital Technologies Department, University of East London, London E16 2RD, UK.)
出处: Sensors (Basel, Switzerland) 2022 Vol.22 No.21 P8434
关键词: OpenFlow;anomaly prediction;machine learning (ML);software-defined networking (SDN).
摘要: Software-defined networking (SDN) has gained tremendous growth and can be exploited in different network scenarios, from data centers to wide-area 5G ...
作者: 蒋嘉蕊,牛振东 (北京理工大学计算机学院)
出处: 中国康复理论与实践 2022 第28卷 第11期 P1318-1324
关键词: 深度学习;阿尔茨海默病;诊断;可视化分析
摘要: 目的 对近5年在阿尔茨海默病(AD)诊断中应用深度学习的现状、研究热点和趋势进行可视化分析。方法 在Web of Science核心数据库检索2017年至2021年深度学习在AD诊断中应用的相关文献,采用CiteSpace 6.1.R3软件分别从年发文量、国家/地区、机构、作者、关键词、参考文献等方 ...
作者: 罗妹秋,张春霞,彭成,张鑫,郭贵锁,牛振东 (北京理工大学计算机学院)
出处: 中国科学(信息科学) 2022 第52卷 第11期 P2037-2057
关键词: 知识图谱补全;解析图嵌入;加权图卷积网络;语义依存分析;实体表示学习
摘要: 知识图谱补全是知识图谱构建、自然语言处理和知识工程等领域的重要研究课题.知识图谱不仅是实现通用领域和专业领域精准知识服务的知识支撑,而且是信息检索、问答交互和信息推荐等领域取得突破性进展的必要基础.知识图谱的低质量和小规模是阻碍知识图谱广泛应用的主要瓶颈.知识图谱补全的目的是构建大规模高质量的知识图 ...
作者: Xiechao Guo1;Ruiping Liu2;Dandan Song3; (1School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China;College of Mathematics and Computer Science, Yan‘an University, Yan‘an, 716000, China;2Security Department of Agricultural Bank of China, Beijing, 100005, China;3School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China;Corresponding author.)
出处: AI Open 2022 Vol.3 P156-161
关键词: Semi-supervised domain adaptation;Hierarchical relation;Prototype learning
摘要: The mainstream domain adaptation (DA) methods transfer the supervised source domain knowledge to the unsupervised or semi-supervised target domain, so ...
作者: 闻子涵,陈谨,吴心筱 (北京理工大学计算机学院)
出处: 中国科技论文 2022 第17卷 第11期 P1188-1193,1200
关键词: 深度学习;视频物体检测;域适应;时序上下文约束
摘要: 为解决图像到视频跨域物体检测任务中存在的视频运动模糊、目标遮挡姿态变化及图像与视频帧域偏移的问题,提出了一个新颖的图像到视频跨域物体检测框架。首先采用循环一致性对抗生成网络,将源域图像映射到目标视频域,生成与视频帧类似的图像(即伪视频帧),用于训练物体检测器。为进一步提升检测器的鲁棒性,提出时序传递 ...
作者: 孙心桐,张磊 (北京理工大学计算机学院)
出处: 中国科技论文 2022 第17卷 第11期 P1254-1259
关键词: 彩色图像处理;视频白平衡;颜色恒常性;颜色稳定;灰点检测
摘要: 针对视频白平衡中产生的画面颜色不稳定问题,提出了基于帧间一致光源颜色估计的视频白平衡方法。首先利用同一消色差物体表面颜色不变的性质,检测视频帧图像中反映光源颜色的灰点,获得单帧图像光源颜色估计。然后对相邻帧光源颜色估计结果进行自适应融合,得到帧间一致的光源颜色估计结果,并进行白平衡处理。通过帧间光源 ...
作者: Qiang Zhang1;Pan Su2;Zhensen Chen1;Ying Liao3;Shuo Chen4;Rui Guo5;Haikun Qi6;Xuesong Li7;Xue Zhang4;Zhangxuan Hu1;Hanzhang Lu8;Huijun Chen9; (1 School of Medicine, Center for Biomedical Imaging Research, Tsinghua University, Beijing, China. 2 The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. 3 Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, USA. 4 Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China. 5 Department of Medicine, Cardiovascular Division, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA. 6 School of Biomedical Engineering, ShanghaiTech University, Shanghai, China. 7 School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China. 8 The Russell H. Morgan Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, USA. 9 Department of Biomedical Engineering, School of Medicine, Center for Biomedical Imaging Research, Tsinghua University, Beijing, China.)
出处: Magnetic resonance in medicine 2022
摘要: Multisecondary transformers are used at the input stage of modular high voltage power supplies. These power supplies are used in various steady state ...