State-of-the-art review for application of big data technology in aquaculture

D Qingling, LIU Yiran, Z Lu, LI Daoliang - Nongye Jixie Xuebao …, 2018 - nyjxxb.net
It has many difficulties in monitoring and detection accurately and optimal control in
aquaculture because the targets are so special and environment is so sophisticated that …

Constructing Discrimination Diagrams for Granite Mineralization Potential by Using Machine Learning and Zircon Trace Elements: Example from the Qimantagh, East …

GUO Guanghui, Z Shihua, LI Sanzhong… - Northwestern …, 2023 - xbdz.net.cn
Zircon is widespread and compositionally stable in intermediate–acid magmatic rocks and is
resistant to later hydrothermal activities. Therefore, its composition can more accurately …

[PDF][PDF] Scientific and technical issues in agricultural monitoring and early warning

S XU - Science & Technology Review, 2018 - kjdb.org
Agricultural monitoring and early warning (AMEW) is a high-end tool of modern agricultural
management and the high-risk nature of agriculture determines that AMEW must be …

Soccer tactical analysis methods and development tendency based on positional data under the background of big data

W Zejun, YOU Songhui - Journal of Shanghai University of …, 2021 - shtyxyxb.xml-journal.net
Soccer tactical analysis based on the positional data has shown that the team centroid
method can be used to determine the geometric center of the team, space control can …

An analysis of major problems in geological survey big data

G YAN, Q XUE, K XIAO, J CHEN, J MIAO… - Geological Bulletin of …, 2015 - dzhtb.cgs.cn
Geological survey big data include geological data produced by multi-source and multi-
mode from geological survey as well as data from public service and management support …

Construction and application of knowledge graph of geohazard risk management for oil and gas pipeline

WU Zhangzhong - yqcy.paperonce.org
As a knowledge base describing the relationship between research objects with explanatory
language, knowledge graph can enhance the ability of machine learning and excavate the …

Applications of Dynamic Trust Management Model in Agricultural Scientific Data Security

WU Dingfeng, LIU Tingting, W Jian… - Journal of Library and …, 2020 - search.proquest.com
[Purpose/Significance] In order to meet the needs of intensive agricultural data research, the
security protection of agricultural data needs to be developed in a dynamic and adaptive …

Develo** Modularity Scientometrics System with Distributed Technology

S Hongbo, G Hongmei, Y Ting, Q Li… - Data Analysis and …, 2020 - manu44.magtech.com.cn
[Objective] This paper designs and develops a modularity scientometrics system, aiming to
meet the needs and real time processing tasks facing researchers.[Context] The relational …

Scientific and technical issues in agricultural monitoring and early warning.

XSW Xu ShiWei - 2018 - cabidigitallibrary.org
Agricultural monitoring and early warning (AMEW) is a high-end tool of modern agricultural
management and the high-risk nature of agriculture determines that AMEW must be …

[HTML][HTML] A Hierarchical Clustering Method Based on the Threshold of Semantic Feature in Big Data

L En-tao, W Guo-jun - 电子与信息学报, 2015 - jeit.ac.cn
The type and scale of data has been promoted with a hitherto unknown speed by the
emerging services including cloud computing, health care, street view services …