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• 计算技术研究所 [2]
• 力学研究所 [1]
• 长春光学精密机械与物... [1]
• 数学与系统科学研究院 [1]
• 国家天文台 [1]
• 合肥物质科学研究院 [1]
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• OAI收割 [7]

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• 期刊论文 [6]
• 会议论文 [1]

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• 2022 [1]
• 2021 [1]
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浏览/检索结果: 共7条，第1-7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 An improved rock typing method for tight sandstone based on new rock typing indexes and the weighted fuzzy kNN algorithm 期刊论文  OAI收割 JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2022, 卷号: 210, 页码: 16 作者:  Ji LL(姬莉莉);  Lin M(林缅);  Jiang WB(江文滨);  Cao GH(曹高辉);  Xu ZP(徐志朋)   |  收藏  |  浏览/下载：60/0  |  提交时间：2022/02/17 New rock typing indexes  The weighted fuzzy kNN algorithm  Tight sandstone  Non-Darcy flow   Locating a gamma-ray source using cuboid scintillators and the KNN algorithm 期刊论文  OAI收割 NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2021, 卷号: 993 作者:  Du, Te;  Zhao, Zijia;  Zhu, Qingjun;  Tian, Lichao   |  收藏  |  浏览/下载：24/0  |  提交时间：2021/04/26 gamma-ray  Source location  Scintillator  Detector array  KNN 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   A SVM-kNN method for quasar-star classification 期刊论文  OAI收割 SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2013, 卷号: 56, 期号: 6, 页码: 1227-1234 作者:  Peng NanBo;  Zhang YanXia;  Zhao YongHeng 收藏  |  浏览/下载：14/0  |  提交时间：2016/11/17 classification  stars/quasars  algorithm: SVM  kNN  data analysis   Features extraction and matching of teeth image based on the SIFT algorithm (EI CONFERENCE) 会议论文  OAI收割 2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012, July 27, 2012 - July 29, 2012, Shenyang, China 作者:  Wang X.;  Wang X.;  Wang X. 收藏  |  浏览/下载：28/0  |  提交时间：2013/03/25 Using of SIFT algorithm in the image of teeth model  can detect the features of the teeth image effectively. In this approach  first  search over all scales and image locations by using a difference-of-Gaussian function to identify potential interest points that are invariant to scale and orientation. Second  select keypoints based on measures of their stability and a detailed model is fit to determine location and scale at each candidate location. Third  assign one or more orientations to each keypoint location based on local image gradient directions. Last  measure the local image gradients at the selected scale in the region around each keypoint. And then use the KNN algorithm to match the features. Through lots of experiments and comparing with other feature extraction methods  this method can detect the features of the teeth model effectively  and offer some available parameters for 3D reconstruction of the teeth model. the authors.   A lightweight web server anomaly detection method based on transductive scheme and genetic algorithms 期刊论文  OAI收割 COMPUTER COMMUNICATIONS, 2008, 卷号: 31, 期号: 17, 页码: 4018-4025 作者:  Li, Yang;  Guo, Li;  Tian, Zhi-Hong;  Lu, Tian-Bo   |  收藏  |  浏览/下载：22/0  |  提交时间：2019/12/16 Network security  Web server anomaly detection  TCM-KNN algorithm  Genetic algorithm   An active learning based TCM-KNN algorithm for supervised network intrusion detection 期刊论文  OAI收割 COMPUTERS & SECURITY, 2007, 卷号: 26, 期号: 7-8, 页码: 459-467 作者:  Li, Yang;  Guo, Li   |  收藏  |  浏览/下载：25/0  |  提交时间：2019/12/16 network security  intrusion detection  TCM-KNN (Transductive Confidence Machines for K-Nearest Neighbors)  algorithm  machine learning  active learning