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• OAI收割 [24]

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浏览/检索结果: 共24条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 The Trust Evaluation and Anomaly Detection Model of Industrial Control Equipment Based on Multiservice and Multi-attribute 会议论文  OAI收割 Chengdu, China, December 10-13, 2021 作者:  Chen X(陈鑫);  Liu XD(刘贤达);  Jiang YH(蒋一恒);  Wang C(王晨)   |  收藏  |  浏览/下载：31/0  |  提交时间：2022/03/15 ICS  trust model  anomaly detection  multi-service  multi-attribute  support algorithm  vector similarity algorithm   基于AGV的智能仓库系统订单分批问题研究 期刊论文  OAI收割 运筹与管理, 2020, 卷号: 29, 期号: 9, 页码: 1-9 作者:  李珍萍;  付红叶;  卜晓奇;  张国维;  吴凌云   |  收藏  |  浏览/下载：27/0  |  提交时间：2021/01/14 intelligent warehouse  AGV  order batching  integer programming model  weighted similarity  greedy algorithm  智能仓库  AGV  订单分批  整数规划模型  加权相似度  贪婪算法   Prediction of protein-protein interactions by label propagation with protein evolutionary and chemical information derived from heterogeneous network 期刊论文  OAI收割 JOURNAL OF THEORETICAL BIOLOGY, 2017, 卷号: 430, 期号: 10, 页码: 9-20 作者:  Wen, YT (Wen, Yu-Ting);  Lei, HJ (Lei, Hai-Jun);  You, ZH (You, Zhu-Hong);  Lei, BY (Lei, Bai-Ying);  Chen, X (Chen, Xing)   |  收藏  |  浏览/下载：38/0  |  提交时间：2017/11/30 Protein-protein Interactions  Prediction  Similarity Network Fusion  Label Propagation Algorithm   RKNNMDA: Ranking-based KNN for MiRNA-Disease Association prediction 期刊论文  OAI收割 RNA BIOLOGY, 2017, 卷号: 14, 期号: 7, 页码: 952-962 作者:  Chen, Xing;  Wu, Qiao-Feng;  Yan, Gui-Ying   |  收藏  |  浏览/下载：25/0  |  提交时间：2018/07/30 Disease  disease semantic similarity  KNN algorithm  miRNAs  miRNA-disease association  SVM Ranking model   Identification of Drug-Drug Interactions Using Chemical Interactions 期刊论文  OAI收割 CURRENT BIOINFORMATICS, 2017, 卷号: 12, 期号: 6, 页码: 526-534 作者:  Chen, Lei;  Chu, Chen;  Zhang, Yu-Hang;  Zheng, Mingyue;  Zhu, LiuCun   |  收藏  |  浏览/下载：32/0  |  提交时间：2019/01/08 Drug-drug interaction  chemical interaction  chemical structure similarity  nearest neighbor algorithm  majority voting  imbalanced dataset   Identification of Candidate Genes Related to Inflammatory Bowel Disease Using Minimum Redundancy Maximum Relevance, Incremental Feature Selection, and the Shortest-Path Approach 期刊论文  OAI收割 BIOMED RESEARCH INTERNATIONAL, 2017, 卷号: -, 期号: -, 页码: 5741948 作者:  Yuan, Fei;  Zhang, Yu-Hang;  Kong, Xiang-Yin;  Cai, Yu-Dong;  ,   |  收藏  |  浏览/下载：9/0  |  提交时间：2020/12/09 Drug-drug interaction  chemical interaction  chemical structure similarity  nearest neighbor algorithm  majority voting  imbalanced dataset   Identification of Drug-Drug Interactions Using Chemical Interactions 期刊论文  OAI收割 CURRENT BIOINFORMATICS, 2017, 卷号: 12, 期号: 6, 页码: 526-534 作者:  Chen, Lei;  Chu, Chen;  Zhang, Yu-Hang;  Kong, Xiangyin;  Huang, Tao   |  收藏  |  浏览/下载：23/0  |  提交时间：2020/12/09 Drug-drug interaction  chemical interaction  chemical structure similarity  nearest neighbor algorithm  majority voting  imbalanced dataset   The reflection of hierarchical cluster analysis of co-occurrence matrices in SPSS 期刊论文  OAI收割 chinese journal of library and information science, 2015, 卷号: 8, 期号: 2, 页码: 11-24 作者:  ZHOU Qiuju;  LENG Fuhai;  LEYDESDORFF Loet 收藏  |  浏览/下载：33/0  |  提交时间：2015/08/14 Co-occurrence matrices  Hierarchical cluster analysis  SPSS  Similarity algorithm  The syntax editor   A QoS-Based and Similarity-Based Service Composition Method 会议论文  OAI收割 International Conference on Artificial Intelligence and Software Engineering (AISE), Phuket, THAILAND, JAN 11-12, 2014 Lin, Ling; Peng, Qi-min   |  收藏  |  浏览/下载：16/0  |  提交时间：2014/12/16 Web service  QoS  Similarity  Backtracking algorithm   A shape context based Hausdorff similarity measure in image matching 会议论文  OAI收割 5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013 作者:  Ma TL(马天磊);  Liu YP(刘云鹏);  Shi ZL(史泽林);  Yin J(尹健) 收藏  |  浏览/下载：37/0  |  提交时间：2013/12/26 The traditional Hausdorff measure, which uses Euclidean distance metric (L2 norm) to define the distance between coordinates of any two points, has poor performance in the presence of the rotation and scale change although it is robust to the noise and occlusion. To address the problem, we define a novel similarity function including two parts in this paper. The first part is Hausdorff distance between shapes which is calculated by exploiting shape context that is rotation and scale invariant as the distance metric. The second part is the cost of matching between centroids. Unlike the traditional method, we use the centroid as reference point to obtain its shape context that embodies global information of the shape. Experiment results demonstrate that the function value between shapes is rotation and scale invariant and the matching accuracy of our algorithm is higher than that of previously proposed algorithm on the MEPG-7 database.