[PDF][PDF] Abnormal vessel behavior detection based on AIS Data

S Zhang, Q Tang - Artificial Intelligence and Robotics Research, 2015 - pdf.hanspub.org
Maritime behavior detection is critical for maritime surveillance and management. It is important
for ship’s safe sailing, normal production at ports, marine environmental protection, water …

大型的酵母基因網路之統計分析

盧鴻興 - 2008 - ir.lib.nycu.edu.tw
… for dimension reduction techniques, including multi-dimensional scaling (MDS) and related
… The network analysis by Boolean and Bayesian networks will be used for the follow-up …

基于R 藤Copula-DBN 时空相关性建模的风光荷功率概率预测.

廖芷燕, 李银红 - Electric Power Automation Equipment …, 2022 - search.ebscohost.com
… -DBN(Dynamic Bayesian Network) is proposed. The spatial correlation of multi-dimensional
and transfer entropy,and the Bayesian network in the initial state is established. The initial …

茶叶品质评价技术研究进展.

刘奇, 欧阳建, 刘昌伟, 陈宏宇, 李娟… - Journal of Tea …, 2022 - search.ebscohost.com
… In the tea product diversification today, only multi-dimensional … ) [42-43] ,贝叶斯网络模型(
Bayesian network,BN)[40],径向基… networks,ANN)[32], 深度神经网络模型(Deep neural network, …

FAAD: 一种无监督快速准确的数据流上多维序列异常检测方法

B Li, Y Wang, D Yang, Y Li, X Ma - Frontiers, 2019 - jzus.zju.edu.cn
… FAAD: an unsupervised fast and accurate anomaly detection method for a multi-dimensional
accurate anomaly detection method for a multi-dimensional sequence over data stream", …

基于多维教掂抱掘的穿琥寺注射波致药品不反启发生规律的研究.

崔盈盈, 吴嘉瑞, 张丹, 谭迪… - Evaluation & Analysis …, 2017 - search.ebscohost.com
… The mining results Bayesian network showed that the categories of primary diseases and
ADR occurrence time were the main predictors of nervous system damage. The mining results …

[PDF][PDF] 数据驱动的综合能源系统负荷预测综述

朱继忠, 董瀚江, 李盛林, 陈梓瑜, 骆腾燕 - 中国电机工程学报, 2021 - researchgate.net
… Finally, the paper prospected future development of demand-side energy forecasting and
envisaged constructing collaborative and multi-dimensional energy forecasting frameworks or …

[HTML][HTML] 机器学习建立的个体热舒适模型及其在服装领域的应用展望

王中昱, 苏云, 王云仪 - 纺织学报, 2023 - fzxb.org.cn
… has the advantages of user personalization, multi-dimensional input parameters and dynamic
prediction. … A personalised thermal comfort model using a bayesian network[C]// YANG Q, …

基于大数据随机样本划分的分布式观测点分类器

李旭, 何玉林, 崔来中, 黄哲学 - 计算机应用, 2024 - joca.cn
… model which tries to transform a multi-dimensional linearly-inseparable problem in original
data … and it is good at high-dimensional data classification. In order to alleviate the high train …

多维度社交网络舆情用户群体聚类分析方法研究*

王晰巍, 贾若男, 韦雅楠, 张柳 - 数据分析与知识发现, 2021 - manu44.magtech.com.cn
… clustering techniques, which could help social network companies provide better services.
[… Clustering User Groups of Public Opinion Events from Multi-dimensional Social Network. …