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Automatically identifying imperfections and attacks in practical quantum key distribution systems via machine learning
《Science China(Information Sciences)》2024年第10期355-368,共14页Jiaxin XU Xiao MA Jingyang LIU Chunhui ZHANG Hongwei LI Xingyu ZHOU Qin WANG 
supported by Industrial Prospect and Key Core Technology Projects of Jiangsu Provincial Key R&D Program(Grant No.BE2022071);National Natural Science Foundation of China(Grant Nos.12074194,12104240,62101285);Innovation Program for Quantum Science and Technology(Grant No.2021ZD0300701);Natural Science Foundation of Jiangsu Province(Grant Nos.BK20192001,BK20210582);Natural Science Foundation of the Jiangsu Higher Education Institutions(Grant No.21KJB140014);Postgraduate Research&Practice Innovation Program of Jiangsu Province(Grant No.KYCX23_1030)。
The realistic security of quantum key distribution(QKD)systems is currently a hot research topic in the field of quantum communications.There are always defects in practical devices,and eavesdroppers can make use of t...
关键词：quantum key distribution device imperfections eavasdropping attacks real-time detection machine learning algorithms 
Graph neural network based approach Che upo to automatically assigning common weakness enumeration identifiers for vulnerabilities
《Cybersecurity》2024年第3期1-15,共15页Peng Liu Wenzhe Ye Haiying Duan Xianxian Li Shuyi Zhang Chuanjian Yao Yongnan Li 
The research was supported in part by the National Natural Science Foundation of China(Nos.62166004,U21A20474);the Guangxi Science and Technology Major Project(No.AA22068070);the Guangxi Natural Science Foundation(No.2020GXNSFAA297075);the Center for Applied Mathematics of Guangxi,the Guangxi"Bagui Scholar"Teams for Innovation and Research Project,the Guangxi Talent Highland Project of Big Data Intelligence and Application,the Guangxi Collaborative Center of Multisource Information Integration and Intelligent Processing and Fundamental Research Funds for the Central Universities(No.2021JKF06).
Vulnerability reports are essential for improving software security since they record key information on vulnerabilities.In a report,CWE denotes the weakness of the vulnerability and thus helps quickly understand the ...
关键词：Vulnerability categorization CWE Graph representation GNN 
Simulation of Automatically Annotated Visible and Multi-/Hyperspectral Images Using the Helios 3D Plant and Radiative Transfer Modeling Framework
《Plant Phenomics》2024年第3期579-594,共16页Tong Lei Jan Graefe Ismael K.Mayanja Mason Earles Brian N.Bailey 
supported,in whole or in part,by the Bill&Melinda Gates Foundation INV-0028630;USDA NIFA Hatch project 7003146.
Deep learning and multimodal remote and proximal sensing are widely used for analyzing plant and crop traits,but many of these deep learning models are supervised and necessitate reference datasets with image annotati...
关键词：framework SIMULATION helios modeling PLANT annotated AUTOMATICALLY HYPERSPECTRAL IMAGES 
Bearing mechanism of roof and rib support structure in automatically formed roadway and its support design method
《Journal of Central South University》2024年第7期2467-2487,共21页JIANG Bei WANG Ming-zi WANG Qi XIN Zhong-xin XING Xue-yang DENG Yu-song YAO Liang-di 
Project(2023YFC2907600)supported by the National Key Research and Development Program of China;Projects(42077267,42277174,52074164)supported by the National Natural Science Foundation of China;Project(2024JCCXSB01)supported by the Fundamental Research Funds for the Central Universities,China。
Non-pillar mining technology with automatically formed roadway is a new mining method without coal pillar reservation and roadway excavation.The stability control of automatically formed roadway is the key to the succ...
关键词：automatically roadway with non-pillar confined lightweight concrete roof and rib support mechanical model bearing behaviour 
LLaMA-LoRA Neural Prompt Engineering:A Deep Tuning Framework for Automatically Generating Chinese Text Logical Reasoning Thinking Chains
《Data Intelligence》2024年第2期375-408,共34页Songlin Chen Weicheng Wang Xiaoliang Chen Peng lu Zaiyan Yang Yajun Du 
supported by the the Science and Technology Program of Sichuan Province(Grant no.2023YFS0424);the"Open bidding for selecting the best candidates"Science and Technology Project of Chengdu(Grant no.2023-JB00-00020-GX);the National Natural Science Foundation(Grant nos.61902324,11426179,and 61872298).
The exption of Chinese natural language processing(NLP)has stimulated research in the broader NLP domain.However,existing large language models have limitations in comprehending and reasoning in Chinese.This paper add...
关键词：Chinese natural language processing Neural prompt engineering Large language models Low-Rank adaptation Chain-of-thought 
AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks
《Journal of Computer Science & Technology》2024年第2期401-420,共20页龚成 卢冶 代素蓉 邓倩 杜承昆 李涛 
supported by the China Postdoctoral Science Foundation under Grant No.2022M721707;the National Natural Science Foundation of China under Grant Nos.62002175 and 62272248;the Special Funding for Excellent Enterprise Technology Correspondent of Tianjin under Grant No.21YDTPJC00380;the Open Project Foundation of Information Security Evaluation Center of Civil Aviation,Civil Aviation University of China,under Grant No.ISECCA-202102.
Exploring the expected quantizing scheme with suitable mixed-precision policy is the key to compress deep neural networks(DNNs)in high efficiency and accuracy.This exploration implies heavy workloads for domain expert...
关键词：automatic quantization mixed precision quantizing scheme search quantizing precision learning quan-tized architecture generation 
A Joint Entity Relation Extraction Model Based on Relation Semantic Template Automatically Constructed
《Computers, Materials & Continua》2024年第1期975-997,共23页Wei Liu Meijuan Yin Jialong Zhang Lunchong Cui 
supported by the National Natural Science Foundation of China(Nos.U1804263,U1736214,62172435);the Zhongyuan Science and Technology Innovation Leading Talent Project(No.214200510019).
The joint entity relation extraction model which integrates the semantic information of relation is favored by relevant researchers because of its effectiveness in solving the overlapping of entities,and the method of...
关键词：Natural language processing deep learning information extraction relation extraction relation semantic template 
Methodology for Automatically Setting Camera View to Mile Marker for Traffic Incident Management
《Journal of Transportation Technologies》2023年第4期708-730,共23页Jijo K. Mathew Haydn A. Malackowski Christopher M. Gartner Jairaj Desai Edward D. Cox Ayman F. Habib Darcy M. Bullock 
Traffic incident management (TIM) is a FHWA Every Day Counts initiative with the objective of reducing secondary crashes, improving travel reliability, and ensuring safety of responders. Agency roadside cameras play a...
关键词：Roadside Cameras Traffic Incident Management Connected Vehicles TRAJECTORY 
SeisGuard: A Software Platform to Establish Automatically an Earthquake Forecasting Model
《Open Journal of Earthquake Research》2023年第4期177-197,共21页Xiliang Liu Yajing Gao Mei Li 
SeisGuard, a system for analyzing earthquake precursory data, is a software platform to search for earthquake precursory information by processing geophysical data from different sources to establish automatically an ...
关键词：SeisGuard Platform Geophysical Observing Data Electromagnetic Emission Time Series Database Spatiotemporal Fusion Earthquake Forecasting Model 
An Efficient Way to Parse Logs Automatically for Multiline Events
《Computer Systems Science & Engineering》2023年第9期2975-2994,共20页Mingguang Yu Xia Zhang 
In order to obtain information or discover knowledge from system logs,the first step is to performlog parsing,whereby unstructured raw logs can be transformed into a sequence of structured events.Although comprehensiv...
关键词：Log parsing log management log analysis system maintenance 
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