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检索条件"机构=Software Engineering in College of Computer Science"
7554 条 记 录,以下是4881-4890 订阅
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Learning the optimally coordinated routes from the statistical mechanics of polymers
arXiv
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arXiv 2019年
作者: Liao, Hao Wu, Xingtong Zhou, Mingyang Yeung, Chi Ho National Engineering Laboratory for big data computing systems Guangdong Province Key Laboratory of Popular High Performance Computers College of Computer Science and Software Engineering Shenzhen University Department of Science and Environmental Studies Education University of Hong Kong Hong Kong
Many major cities suffer from severe traffic congestion. Road expansion in the cites is usually infeasible, and an alternative way to alleviate traffic congestion is to coordinate the route of vehicles. Various path s... 详细信息
来源: 评论
Employment Recommendation Algorithm Based on Ensemble Learning
Employment Recommendation Algorithm Based on Ensemble Learni...
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IEEE International Conference on Civil Aviation Safety and Information Technology (ICCASIT)
作者: Yubei Lin Yinhua Huang Pingping Chen School of Software South China University of Technology Guangzhou China School of Computer Science and Engineering South China University of Technology Guangzhou China College of Medical Information Engineering Guangzhou University of Chinese Medicine Guangzhou China
The user's filtering costs and time costs were increased because of a large number of search results in the context of big data technology. Therefore, personalized recommendation technology is needed to improve th...
来源: 评论
Fault detection capabilities of combinatorial testing and random testing for Boolean-specifications
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International Journal of Performability engineering 2019年 第11期15卷 2952-2961页
作者: Wang, Ziyuan Li, Yang Gu, Xueqing Zheng, Xiaojia Yu, Min School of Computer Science and Technology Nanjing University of Posts and Telecommunications Nanjing210023 China Software Testing Engineering Laboratory of Jiangsu Province Nanjing211169 China Tongda College Nanjing University of Posts and Telecommunications Yangzhou225127 China
The problem of fault detection capability of combinatorial testing has drawn a lot of attention. People conducted many experiments on different subjects to compare fault detection capabilities of combinatorial testing... 详细信息
来源: 评论
Multi-Feature-Based Decision Fusion Framework for Hyperspectral Imagery Classification
Multi-Feature-Based Decision Fusion Framework for Hyperspect...
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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
作者: Sen Jia Junjian Xian College of Computer Science and Software Engineering Shenzhen University China
Classification of a hyperspectral image (HSI) is a very active topic in remote sensing, which has practical applications in many fields, In this paper, a multitask sparse logistic regression method based on multi-feat... 详细信息
来源: 评论
Deep learning based monocular depth prediction: Datasets, methods and applications
arXiv
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arXiv 2020年
作者: Li, Qing Zhu, Jiasong Liu, Jun Cao, Rui Li, Qingquan Jia, Sen Qiu, Guoping College of Civil and Transportation Engineering Shenzhen University Shenzhen518060 China MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area Shenzhen University Shenzhen518060 China Guangdong Key Laboratory of Urban Informatics Shenzhen University Shenzhen518060 China College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Institute of Urban Smart Transportation and Safety Maintenance Shenzhen University Shenzhen518060 China Shenzhen TCL Industrial Research Institute Co. Ltd. Shenzhen China College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen518060 China School of Computer Science University of Nottingham NottinghamNG8 1BB United Kingdom
Estimating depth from RGB images can facilitate many photometric computer vision tasks, such as indoor localization, height estimation, and simultaneous localization and mapping (SLAM). Recently, monocular depth estim... 详细信息
来源: 评论
Improving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial Training
arXiv
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arXiv 2019年
作者: Hou, Xianxu Sun, Ke Shen, Linlin Qiu, Guoping College of Information Engineering Shenzhen University Shenzhen China Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen China College of Computer Science and Software Engineering Shenzhen University Shenzhen China Key Laboratory of Spatial Information Smarting Sensing and Services Shenzhen University Shenzhen China School of Computer Science University of Nottingham Nottingham United Kingdom
We present a new method for improving the performances of variational autoencoder (VAE). In addition to enforcing the deep feature consistent principle thus ensuring the VAE output and its corresponding input images t... 详细信息
来源: 评论
Frameworks for querying databases using natural language: A literature review
arXiv
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arXiv 2019年
作者: Dar, Hafsa Shareef Ikramullah Lali, M. Ul Din, Moin Malik, Khalid Mahmood Bukhari, Syed Ahmad Chan Dept. of Software Engineering University of Gujrat Punjab50700 Pakistan Dept. of Computer Science University of Gujrat Punjab50700 Pakistan Computer Science and Engineering Department Oakland University 2200 N. Squirrel Rd RochesterMI48309 United States Division of Computer Science Mathematics and Science College of Professional Studies St. John's University New York United States
A Natural Language Interface (NLI) facilitates users to pose queries to retrieve information from a database without using any artificial language such as the Structured Query Language (SQL). Several applications in v... 详细信息
来源: 评论
Transfer learning for lung cancer computed tomography diagnosis  8
Transfer learning for lung cancer computed tomography diagno...
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8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and Control Applications, ISCIIA and ITCA 2018
作者: Jiang, Yunpeng Shinichi, Yoshida Che, Xiangjiu College of Software Jilin University China Graduate School of Engineering Kochi University of Technology Japan School of Information Kochi University of Technology Japan College of Computer Science and Technology Jilin University China
We propose an application of the transfer learning strategy of VGG16 to lung cancer CT diagnosis and conduct the experiment to clarify the performance of detection. Contributions of this paper are following three work... 详细信息
来源: 评论
Research of vehicle cooperative adaptive cruise control system based on deep reinforcement learning  8
Research of vehicle cooperative adaptive cruise control syst...
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8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and Control Applications, ISCIIA and ITCA 2018
作者: Li, Xiang Yoshida, Shinichi Liu, Yanheng College of Software Jilin University China Graduate School of Engineering Kochi University of Technology Japan School of Information Kochi University of Technology Japan College of Computer Science and Technology Jilin University China
With the development of the Internet of Vehicles, the application of Advanced Driver Assistance Systems(ADAS) is becoming more and more extensive. As one of ADAS, Adaptive Cruise Control(ACC) technology has been widel... 详细信息
来源: 评论
Optimally compressed digital content delivery using short message service  14th
Optimally compressed digital content delivery using short me...
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14th International Conference on Information Technology - New Generations, ITNG 2017
作者: Khan, Muhammad Fahad Mushtaq, Mubashar Saleem, Khalid Department of Computer Sciences Quaid-i-Azam University Islamabad Pakistan Department of Software Engineering Foundation University Islamabad Pakistan Department of Computer Science Forman Christian College A Chartered University Lahore Pakistan
Researchers are devising new ways for robust digital content delivery in situations where telecommunication signal strength is very low, especially during natural disasters. In this paper, we present research work tar... 详细信息
来源: 评论