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GENERATIVE: 作品数：537被引量：766H指数：13; 导出分析报告; 相关作者：郝志桃王东李昌华李曙光赵凯华更多>>; 相关机构：华中师范大学浙江省交通规划设计研究院有限公司西安建筑科技大学上海电力大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金中国博士后科学基金国家社会科学基金高等学校学科创新引智计划更多>>

Stock Market Prediction Using Generative Adversarial Networks(GANs):Hybrid Intelligent Model: 《Computer Systems Science & Engineering》2023年第10期19-35,共17页Fares Abdulhafidh Dael Omer CagrıYavuz Ugur Yavuz; The key indication of a nation’s economic development and strength is the stock market.Inflation and economic expansion affect the volatility of the stock market.Given the multitude of factors,predicting stock prices...; 关键词：Stock markets STATISTICS machine learning sentiment analysis investment decisions

Tight Sandstone Image Augmentation for Image Identification Using Deep Learning: 《Computer Systems Science & Engineering》2023年第10期1209-1231,共23页Dongsheng Li Chunsheng Li Kejia Zhang Tao Liu Fang Liu Jingsong Yin Mingyue Liao; This research was funded by the National Natural Science Foundation of China(Project No.42172161);Heilongjiang Provincial Natural Science Foundation of China(Project No.LH2020F003);Heilongjiang Provincial Department of Education Project of China(Project No.UNPYSCT-2020144);Northeast Petroleum University Guided Innovation Fund(2021YDL-12).; Intelligent identification of sandstone slice images using deep learning technology is the development trend of mineral identification,and accurate mineral particle segmentation is the most critical step for intellige...; 关键词：Tight sandstone image synthesis generative adversarial networks data augmentation image segmentation

Effective and Efficient Video Compression by the Deep Learning Techniques: 《Computer Systems Science & Engineering》2023年第5期1047-1061,共15页Karthick Panneerselvam K.Mahesh V.L.Helen Josephine A.Ranjith Kumar; Deep learning has reached many successes in Video Processing.Video has become a growing important part of our daily digital interactions.The advancement of better resolution content and the large volume offers serious...; 关键词：Convolutional neural networks(CNN) generative adversarial network(GAN) singular value decomposition(SVD) K-nearest neighbours(KNN) stochastic gradient descent(SGD) long short-term memory(LSTM)

Face Templates Encryption Technique Based on Random Projection and Deep Learning: 《Computer Systems Science & Engineering》2023年第3期2049-2063,共15页Mayada Tarek; Cancellable biometrics is the solution for the trade-off between two concepts:Biometrics for Security and Security for Biometrics.The cancelable template is stored in the authentication system’s database rather than ...; 关键词：Cancelable biometrics(CBs) random projection ORL face database generative adversarial network(GAN)

Artificially Generated Facial Images for Gender Classification Using Deep Learning: 《Computer Systems Science & Engineering》2023年第2期1341-1355,共15页Valliappan Raman Khaled ELKarazle Patrick Then; Given the current expansion of the computer visionﬁeld,several appli-cations that rely on extracting biometric information like facial gender for access control,security or marketing purposes are becoming more common....; 关键词：Facial recognition data collection facial images generative adversarial networks facial gender estimation

Conditional Generative Adversarial Network Approach for Autism Prediction被引量：1: 《Computer Systems Science & Engineering》2023年第1期741-755,共15页K.Chola Raja S.Kannimuthu; Autism Spectrum Disorder(ASD)requires a precise diagnosis in order to be managed and rehabilitated.Non-invasive neuroimaging methods are disease markers that can be used to help diagnose ASD.The majority of available ...; 关键词：AUTISM classification attributes imaging adversarial FMRI functional graph neural networks

Semisupervised Encrypted Traffic Identification Based on Auxiliary Classification Generative Adversarial Network被引量：1: 《Computer Systems Science & Engineering》2021年第12期373-390,共18页Jiaming Mao Mingming Zhang Mu Chen Lu Chen Fei Xia Lei Fan ZiXuan Wang Wenbing Zhao; This work is supported by the Science and Technology Project of State Grid Jiangsu Electric Power Co.,Ltd.under Grant No.J2020068.; The rapidly increasing popularity of mobile devices has changed the methods with which people access various network services and increased net-work traffic markedly.Over the past few decades,network traffic identific...; 关键词：Encrypted traffic recognition deep learning generative adversarial network traffic classification semisupervised learning

COVID-19 Automatic Detection Using Deep Learning: 《Computer Systems Science & Engineering》2021年第10期15-35,共21页Yousef Sanajalwe Mohammed Anbar Salam Al-E’mari; The novel coronavirus disease 2019(COVID-19)is a pandemic disease that is currently affecting over 200 countries around the world and impacting billions of people.The first step to mitigate and control its spread is t...; 关键词：Conventional neural network COVID-19 deep learning enhanced Wasserstein and auxiliary classifier generative adversarial network image classification image segmentation chest x-rays

Speech Enhancement via Residual Dense Generative Adversarial Network被引量：1: 《Computer Systems Science & Engineering》2021年第9期279-289,共11页Lin Zhou Qiuyue Zhong Tianyi Wang Siyuan Lu Hongmei Hu; This work is supported by the National Key Research and Development Program of China under Grant 2020YFC2004003 and Grant 2020YFC2004002;the National Nature Science Foundation of China(NSFC)under Grant No.61571106。; Generative adversarial networks(GANs)are paid more attention to dealing with the end-to-end speech enhancement in recent years.Various GANbased enhancement methods are presented to improve the quality of reconstructed...; 关键词：Generative adversarial networks neural networks residual dense block speech enhancement

A Generative Adversarial Networks for Log Anomaly Detection被引量：1: 《Computer Systems Science & Engineering》2021年第4期135-148,共14页Xiaoyu Duan Shi Ying Wanli Yuan Hailong Cheng Xiang Yin; supported by National Natural Science Foundation of China under grant NO.61672392 and NO.61373038;the National Key Research and Development Program of China under grant NO.2016YFC1202204.; Detecting anomaly logs is a great significance step for guarding system faults.Due to the uncertainty of abnormal log types,lack of real anomaly logs and accurately labeled log datasets.Existing technologies cannot be...; 关键词：Generative adversarial networks anomaly detection data mining deep learning

GENERATIVE