An automatic generation approach of the cyber threat intelligence records based on multi-source information fusion
T Sun, P Yang, M Li, S Liao - Future Internet, 2021 - mdpi.com
With the progressive deterioration of cyber threats, collecting cyber threat intelligence (CTI)
from open-source threat intelligence publishing platforms (OSTIPs) can help information …
from open-source threat intelligence publishing platforms (OSTIPs) can help information …
Dynamic lightning protection method of electric power systems based on the large data characteristics
H Hu, M Fang, Y Zhang, L Jing, F Hu - … Journal of Electrical Power & Energy …, 2021 - Elsevier
In this paper, a new active dynamic lightning protection method is proposed based on the
large data characteristics of electric power. This method mainly includes two parts: Part one …
large data characteristics of electric power. This method mainly includes two parts: Part one …
Big Data Analytic Platforms
L Di, E Yu - Remote Sensing Big Data, 2023 - Springer
This chapter defines the basic concepts of big data analytic platforms. Big data analytic
platforms can be classified by different criteria. There are a variety of infrastructures for big …
platforms can be classified by different criteria. There are a variety of infrastructures for big …
Construction of recipe knowledge graph based on user knowledge demands
J Cui, X Zhang, D Zheng - Journal of Information Science, 2023 - journals.sagepub.com
Building a recipe knowledge graph from the perspective of user knowledge demands can
provide users with accurate and efficient retrieval results and recipes. Relatively a few …
provide users with accurate and efficient retrieval results and recipes. Relatively a few …
Big data and time series use in short term load forecasting in power transmission system
A Perçuku, D Minkovska, L Stoyanova - Procedia Computer Science, 2018 - Elsevier
Short term load forecasting plays important role in power transmission system planning and
operations, and helps to make better decisions such as in maintenance planning, identify …
operations, and helps to make better decisions such as in maintenance planning, identify …
Gridkg: Knowledge graph representation of distribution grid data
Y Kor, L Tan, MZ Reformat… - 2020 IEEE Electric Power …, 2020 - ieeexplore.ieee.org
Distribution grid systems are complex networks containing multiple pieces of equipment. All
of them interconnected, and all of them described a variety of pieces of information. A …
of them interconnected, and all of them described a variety of pieces of information. A …
用BERT 和改进PCNN 模型抽取食品安全领域关系.
赵良, 张赵玥, 廖子逸, 王玲 - Transactions of the Chinese …, 2022 - search.ebscohost.com
为了提高食品安全领域关系抽取的效率和准确性, 该研究在收集食品安全领域语料的基础上,
对语料中相应的实体和关系进行标注, 构建可用于食品安全领域关系抽取的专业数据集. 同时 …
对语料中相应的实体和关系进行标注, 构建可用于食品安全领域关系抽取的专业数据集. 同时 …
Integrating Knowledge Graphs into Distribution Grid Decision Support Systems
Y Kor, L Tan, P Musilek, MZ Reformat - Future Internet, 2023 - mdpi.com
Distribution grids are complex networks containing multiple pieces of equipment. These
components are interconnected, and each of them is described by various attributes. A …
components are interconnected, and each of them is described by various attributes. A …
Decision‐Making and Computational Modeling of Big Data for Sustaining Influential Usage
Q Chang, S Nazir, X Li - Scientific Programming, 2022 - Wiley Online Library
Big Data is data whose shape and volume are rising with the passage of time and
innovations in technology. This increase will give birth to more uncertain and complex …
innovations in technology. This increase will give birth to more uncertain and complex …
A C-RFBS model for the efficient construction and reuse of interpretable design knowledge records across knowledge networks
Effective and efficient provision and reuse of knowledge across a knowledge network in the
global value chain still faces two challenges, namely the interpretability of model and the …
global value chain still faces two challenges, namely the interpretability of model and the …