机构

• 计算技术研究所 [13]

采集方式

• OAI收割 [13]

内容类型

• 期刊论文 [13]

发表日期

• 2023 [3]
• 2022 [2]
• 2021 [3]
• 2020 [1]
• 2011 [1]
• 2010 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共13条，第1-10条 帮助 限定条件 专题：计算技术研究所    第一署名单位    第一作者单位    通讯作者单位     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Identification of Spoofing Ships from Automatic Identification System Data via Trajectory Segmentation and Isolation Forest 期刊论文  OAI收割 JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 卷号: 11, 期号: 8, 页码: 22 作者:  Zheng, Hailin;  Hu, Qinyou;  Yang, Chun;  Mei, Qiang;  Wang, Peng   |  收藏  |  浏览/下载：9/0  |  提交时间：2023/12/04 automatic identification system  spoofing ship  missing points  jumping points  trajectory segmentation  isolation forest   Research on Multi-Port Ship Traffic Prediction Method Based on Spatiotemporal Graph Neural Networks 期刊论文  OAI收割 JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 卷号: 11, 期号: 7, 页码: 18 作者:  Li, Yong;  Li, Zhaoxuan;  Mei, Qiang;  Wang, Peng;  Hu, Wenlong   |  收藏  |  浏览/下载：8/0  |  提交时间：2023/12/04 spatiotemporal graph neural network  traffic flow prediction  ship big data  AIS  port traffic prediction   Big data-driven carbon emission traceability list and characteristics of ships in maritime transportation-a case study of Tianjin Port 期刊论文  OAI收割 ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 页码: 17 作者:  Wang, Peng;  Hu, Qinyou;  Xie, Wenxin;  Wu, Lin;  Wang, Fei   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04 Marine environment protection  Ship pollutants  Automatic identification system (AIS)  Data mining   Geographical spatial analysis and risk prediction based on machine learning for maritime traffic accidents: A case study of Fujian sea area 期刊论文  OAI收割 OCEAN ENGINEERING, 2022, 卷号: 266, 页码: 20 作者:  Yang, Yang;  Shao, Zheping;  Hu, Yu;  Mei, Qiang;  Pan, Jiacai   |  收藏  |  浏览/下载：12/0  |  提交时间：2023/07/12 Geographical spatial analysis  Maritime accident  Fujian sea area  Machine learning  Accident prediction   Augmented Multi-Component Recurrent Graph Convolutional Network for Traffic Flow Forecasting 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 卷号: 11, 期号: 2, 页码: 17 作者:  Zhang, Chi;  Zhou, Hong-Yu;  Qiu, Qiang;  Jian, Zhichun;  Zhu, Daoye   |  收藏  |  浏览/下载：16/0  |  提交时间：2022/12/07 traffic flow forecasting  spatial-temporal prediction  graph convolutional networks  augmented multi-component   Evaluation methods of port dominance: A critical review 期刊论文  OAI收割 OCEAN & COASTAL MANAGEMENT, 2021, 卷号: 215, 页码: 11 作者:  Wang, Peng;  Hu, Qinyou;  Xu, Yongjun;  Mei, Qiang;  Wang, Fei   |  收藏  |  浏览/下载：13/0  |  提交时间：2022/06/21 Port dominance  Port competitiveness  Shipping network  Complex network   DAGM: A novel modelling framework to assess the risk of HER2-negative breast cancer based on germline rare coding mutations 期刊论文  OAI收割 EBIOMEDICINE, 2021, 卷号: 69, 页码: 11 作者:  Yang, Mei;  Fan, Yanhui;  Wu, Zhi-Yong;  Gu, Jin   |  收藏  |  浏览/下载：63/0  |  提交时间：2021/12/01 HER2-negative breast cancer  Germline rare coding mutations  Damage assessment of genomic mutations (DAGM)  Risk assessment  Activity profiles of signalling pathways (APSP)  HER2 signalling pathway  Immune suppression   Rare variants in the germline genome holistically determine receptor-independent Her2 signaling pathway activation and immune suppression, shaping pathological type and risk of HER2-negative breast cancer 期刊论文  OAI收割 CANCER RESEARCH, 2021, 卷号: 81, 期号: 4, 页码: 1 作者:  Yang, Mei;  Fan, Yanhui;  Wu, Zhi-Yong;  Feng, Zhendong;  Zhang, Qiangzu   |  收藏  |  浏览/下载：51/0  |  提交时间：2021/12/01 Database Resources of the National Genomics Data Center in 2020 期刊论文  OAI收割 NUCLEIC ACIDS RESEARCH, 2020, 卷号: 48, 期号: D1, 页码: D24-D33 作者:  Zhang, Zhang;  Zhao, Wenming;  Xiao, Jingfa;  Bao, Yiming;  He, Shunmin   |  收藏  |  浏览/下载：96/0  |  提交时间：2020/12/10 Capture-power-aware test data compression using selective encoding 期刊论文  OAI收割 INTEGRATION-THE VLSI JOURNAL, 2011, 卷号: 44, 期号: 3, 页码: 205-216 作者:  Li, Jia;  Liu, Xiao;  Zhang, Yubin;  Hu, Yu;  Li, Xiaowei   |  收藏  |  浏览/下载：32/0  |  提交时间：2019/12/16 Test compression  Low-power testing  Scan-based testing