云南高校图书馆联盟文献共享服务平台- Data Intelligence

《Data Intelligence》: 作品数：253被引量：251H指数：9; 导出分析报告; 主办单位：National Science Library, Chinese Academy of Sciences & China National Publications Import & Export (Group) Co., Ltd; 最新期次：2024年3期更多>>; 发文主题：FAIRDATAMETADATAKNOWLEDGEGRAPH更多>>; 发文领域：自动化与计算机技术医药卫生政治法律文化科学更多>>; 发文基金：国家自然科学基金北京市自然科学基金湖北省自然科学基金俄罗斯基础研究基金更多>>

Large Knowledge Model:Perspectives and Challenges被引量：1: 《Data Intelligence》2024年第3期587-620,共34页Huajun Chen; Humankind's understanding of the world is fundamentally linked to our perception and cognition,with human languages serving as one of the major carriers of world knowledge.In this vein,Large Language Models(LLMs)like ...; 关键词：Large Language Model Knowledge Graph Large Knowledge Model Knowledge Representation Knowledge Augmentation

Price Mechanism,Government Constraints and Carbon Trading Pilot Policy for Emission Reduction: 《Data Intelligence》2024年第3期621-648,共28页Wei Huang Haili Xue Qin Zhang Haoguang Liang; Based on the data of 247 cities at the prefecture level in China from 2007 to 2019,this paper analyzes the impact of the carbon emissions trading(CET)pilot policy on carbon emission reduction from the perspective of t...; 关键词：Carbon emission reduction Double difference Price incentive mechanism Government restraint mechanism

Mongolian Text Recognition Based on CRNN Algorithm: 《Data Intelligence》2024年第3期869-890,共22页YongHui Wei Naimannaran Chuluunbandi Badarch Tuyatsetseg Ayush Altangere; supported by the School of Information Technology of the Mongolian University of Science and Technology,as well as the central guidance and local science and technology development fund projects(transfer and transformation projects of scientific and technological achievements),project No:226Z1707G;Research and development project of 3D hub size measuring machine.; Optical Character Recognition(OCR)algorithm is a technology that converts text images from paper documents into a digital format using electronic devices such as scanners and digital cameras.This process transforms th...; 关键词：CRNN OCR Mongolian character recognition Text detection

Development of Sustainable Wireless Resource model through Shrewd Neural Network: 《Data Intelligence》2024年第3期649-665,共17页Shahzad Ashraf Furqan Memon Fouzia Akram Zeeshan Rasheed Shahzad Sarwar Bhattit Innam Ullah; Due to an increasing number of wireless spectrums,the network components are tangling with multiple frequencies and the result create hindrance in resource management process.During resource management process,data le...; 关键词：Neural network Sustainable resources Dataset testing Dataset corpus Data leakage

Using Intelligent Screening Service Platform(ISSP)to Improve the Screening Process of Clinical Trial Subjects during COVID-19 Pandemic:An Experimental Study: 《Data Intelligence》2024年第3期666-691,共26页Bin Li Runfang Guo Huan Zhou Yuanyuan Liu Xiaolei Zhang Qian Zhang; supported by the Science Key Project of Bengbu Medical College(No.2022byzd068);the University Synergy Innovation Program of Anhui Province(No.GXXT-2022-058);The Anhui Provincial University Natural Science Key Project(No.2022AH051458)provided us with language polishing.; Background:During the COVID-19 pandemic,clinical trial recruitment could not be carried out due to travel restrictions,transmission risks and other factors,resulting in the stagnation of many ongoing or upcoming clini...; 关键词：Phase I clinical trials Solid tumors Patient screening COVID-19 Artificial intelligence Machine learning APP

Research on the Parallel Tractability of Knowledge Graph Reasoning based on Boolean Circuits: 《Data Intelligence》2024年第3期692-719,共28页Zhangquan Zhou; supported by The Natural Science Foundation of the Jiangsu Higher Education Institutions of China under grant number 22KJB520003.The project name is"Research on Representation and Reasoning of Knowledge Graphs based on Semantic Mapping".; Although neural methods have been comprehensively applied in different fields,symbolic based logic reasoning is still the main choice for numerous applications based on knowledge graphs.To enhance the efficiency of kn...; 关键词：Knowledge graph REASONING Parallel tractability Boolean circuit the NC complexity

Investigating the Logical Capability of Graph Neural Networks via the Connection to C_(2): 《Data Intelligence》2024年第3期720-748,共29页Zhangquan Zhou Shijiao Tang; supported by The Natural Science Foundation of the Jiangsu Higher Education Institutions of China under grant number 22KJB520003.The project name is"Research on Representation and Reasoning of Knowledge Graphs based on Semantic Mapping".; Graph neural networks(GNNs)have garnered substantial application across a spectrum of real-world scenarios due to their remarkable ability to handle data organized in the form of graphs.Nonetheless,the full extent of ...; 关键词：Graph neural networks Logical capabilities C_(2)logical language

Gate Feature Interaction Network for Relation Prediction in Knowledge Graph: 《Data Intelligence》2024年第3期749-770,共22页Jing Wang Shuo Zhang Runzhi Li; supported in part by the Science and Technology Innovation 2030-"New Generation of Artificial Intelligence"Major Project under Grant No.2021ZD0111000;the Henan Province Science and Technology Research Project(232102311232).; Recently,many knowledge graph embedding models for knowledge graph completion have been proposed,ranging from the initial translation-based model such as TransE to recent CNN-based models such as ConvE.These models fi...; 关键词：Knowledge graph Relation prediction Gate convolution Expressive feature Interaction information

Aspect-Guided Multi-Graph Convolutional Networks for Aspect-based Sentiment Analysis: 《Data Intelligence》2024年第3期771-791,共21页Yong Wang Ningchuang Yang Duoqian Miao Qiuyi Chen; supported by the National Natural Science Foundation of China under Grant 61976158 and Grant 61673301.; The Aspect-Based Sentiment Analysis(ABSA)task is designed to judge the sentiment polarity of a particular aspect in a review.Recent studies have proved that GCN can capture syntactic and semantic features from depende...; 关键词：Graph convolutional networks Aspect-based sentiment analysis Multi-headed attention BERT encoder

A Hybrid Channel Stock Model for Stock Price Forecasting with Multifaceted Feature Fusion: 《Data Intelligence》2024年第3期792-811,共20页Zhiyu Xu Yong Wang Yisheng Li Lulu Zhang Bin Jiang; supported by these three foundation programs:the Science and Technology Research Project(Youth)of Chongqing Municipal Education Commission(KJQN202201142);the Chongqing Research Program of Basic Research Frontier Technology(CSTB2022BSXM-JCX0069CCCC);the Training Program of the National Natural Science Foundation of China and National Social Science Fund of China of Chongqing University of Technology(2022PYZ030)。; Stock market is volatile and predicting stock prices is a challenging task.Stock prices are influenced by multiple factors,and prediction using only numerical or image features is ineffective.To solve this problem,we ...; 关键词：Stock Price Forecast Hybrid Channel Stock model CNN-TW MULTI-CHANNEL Multifaceted feature

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