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检索条件"机构=COPPE - Systems Engineering and Computer Science Program"
884 条 记 录,以下是101-110 订阅
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Logic as energy: A SAT-based approach
Logic as energy: A SAT-based approach
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2nd International Symposium on Brain, Vision, and Artificial Intelligence, BVAI 2007
作者: Lima, Priscila M. V. Morveli-Espinoza, M. Mariela M. França, Felipe M. G. LAM - Computer Architecture and Microelectronics Laboratory Universidade Federal Do Rio de Janeiro Brazil Departament d'Informàtica Universitat Autònoma de Barcelona Spain COPPE - Systems Engineering and Computer Science Program Universidade Federal Do Rio de Janeiro Brazil
This paper presents the implementation of ARQ-PROP II, a limited-depth propositional reasoner, via the compilation of its specification into an exact formulation using the satyrus platform. satyrus' compiler takes... 详细信息
来源: 评论
EvolTrack: Improving design evolution awareness in software development
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Journal of the Brazilian computer Society 2010年 第2期16卷 117-131页
作者: de Cepêda, Rafael da Silva Viterbo Magdaleno, Andréa Magalhães Murta, Leonardo Gresta Paulino Werner, Cláudia Maria Lima COPPE/UFRJ-Systems Engineering and Computer Science Department Zip 21945-970 P.O. Box 68511 Rio de Janeiro RJ Brazil IC/UFF-Instituto de Computação Universidade Federal Fluminense Niterói RJ Brazil
Software differs from most manufactured products because it is intangible. This characteristic makes it difficult to detect, control, and understand how it evolves. This paper presents an approach based on software vi... 详细信息
来源: 评论
DeepDTAGen: a multitask deep learning framework for drug-target affinity prediction and target-aware drugs generation
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Nature communications 2025年 第1期16卷 5021页
作者: Pir Masoom Shah Huimin Zhu Zhangli Lu Kaili Wang Jing Tang Min Li School of Computer Science and Engineering Central South University Changsha China. School of Computer Science and Technology Donghua University Shanghai China. Research Program in Systems Oncology Faculty of Medicine University of Helsinki Helsinki Finland. Department of Biochemistry and Developmental Biology Faculty of Medicine University of Helsinki Helsinki Finland. School of Computer Science and Engineering Central South University Changsha China. limin@***. Xiangjiang Laboratory Changsha China. limin@***. Furong Laboratory Central South University Changsha China. limin@***.
Identifying novel drugs that can interact with target proteins is a highly challenging, time-consuming, and costly task in drug discovery and development. Numerous machine learning-based models have recently been util...
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Sparse KPCA for feature extraction in speech recognition
Sparse KPCA for feature extraction in speech recognition
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2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
作者: Lima, A. Zen, H. Nankaku, Y. Tokuda, K. Kitamura, T. Resende, F.G. Nagoya Institute of Technology Department of Computer Science and Engineering Nagoya 466-8555 Japan Federal University of Rio de Janeiro Dept. of Electronics and Computer Engineering/EPoli Program of Electrical Engineering/COPPE Rio de Janeiro 21945-970 Brazil
This paper presents an analysis of the applicability of Sparse Kernel Principal Component Analysis (SKPCA) for feature extraction in speech recognition, as well as, a proposed approach to make the SKPCA technique real... 详细信息
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Optimal Deep Canonically Correlated Autoencoder-Enabled Prediction Model for Customer Churn Prediction
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computers, Materials & Continua 2022年 第11期73卷 3757-3769页
作者: Olfat M.Mirza GJose Moses R.Rajender E.Laxmi Lydia Seifedine Kadry Cheadchai Me-Ead Orawit Thinnukool Department of Computer Science College of Computers and Information SystemsUmm Al-Qura UniversityMakkahSaudi Arabia Department of Computer Science Engineering Malla Reddy Engineering College500100India Department of Computer Science Engineering Lendi Institute of Engineering&TechnologyDenkada535005India Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India Department of Applied Data Science Noroff University CollegeNorway Program in Statistics and Information Management Faculty of ScienceMaejo UniversityChiang Mai50290Thailand Department of Modern Management and Information Technology College of Arts Media and TechnologyChiang Mai UniversityChiang Mai50200Thailand
Presently,customer retention is essential for reducing customer churn in telecommunication *** churn prediction(CCP)is important to predict the possibility of customer retention in the quality of *** risks of customer... 详细信息
来源: 评论
Efficient categorization of memory sharing patterns in software DSM systems  15
Efficient categorization of memory sharing patterns in softw...
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15th International Parallel and Distributed Processing Symposium, IPDPS 2001
作者: De Castro, M.C.S. De Amorim, C.L. Computer Science Department Federal University of Juiz de Fora Minas Gerais Brazil COPPE - Systems Engineering Federal University of Rio de Janeiro Rio de Janeiro Brazil
This work introduces a new technique that enables SDSMs to categorize dynamically and accurately memory sharing patterns in both classes of regular and irregular applications. The categorization is carried out automat... 详细信息
来源: 评论
Context-based process line
Context-based process line
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作者: Nunes, Vanessa Werner, Claudia Santoro, Flavia Maria COPPE/UFRJ Systems Engineering and Computer Science Program P.O. Box 68511 Rio de Janeiro RJ Brazil NP2Tec and Postgraduate Information Systems Program UNIRIO Av. Pasteur 458 Urca - Rio de Janeiro RJ Brazil
Complexity and dynamism of day-to-day activities in organizations are inextricably linked, one impacting the other, increasing the challenges for constant adaptation of the way to organize work to address emerging dem... 详细信息
来源: 评论
Impact of Intention to Use to a Document Management System (Case Study Approach)  3
Impact of Intention to Use to a Document Management System (...
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3rd International Conference on Information Management and Technology, ICIMTech 2018
作者: Hartono, Sugiarto Kosala, Raymondus Raymond Supangkat, Suhono Harso Ranti, Benny Information Systems Department Computer Science Department BINUS Graduate Program-Doctor of Computer Science Jakarta11480 Indonesia Computer Science Department Bina Nusantara University BINUS Graduate Program-Doctor of Computer Science Jakarta11480 Indonesia Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia
Document management system makes user to access information anytime and anywhere. The purpose of this research is to analyze what variables have impact on the intention to use of document management system. To achieve... 详细信息
来源: 评论
Fuzzy Markov predictor in electric load forecasting
Fuzzy Markov predictor in electric load forecasting
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International Joint Conference on Neural Networks (IJCNN)
作者: M.A. Teixeira G. Zaverucha Systems Engineering and Computer Science Program Federal University of Rio de Janeiro Brazil Systems Engineering and Computer Science Program E28093 Graduate Programs in Engineering (COPPE) Federal University of Rio de Janeiro Brazil
We present the fuzzy Markov predictor (FMP), a hybrid system that is applied to the task of monthly electric load forecasting. The FMP is a modification we introduce in the hidden Markov model in order to enable it to... 详细信息
来源: 评论
A Novel Human Interaction Framework Using Quadratic Discriminant Analysis with HMM
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computers, Materials & Continua 2023年 第11期77卷 1557-1573页
作者: Tanvir Fatima Naik Bukht Naif Al Mudawi Saud S.Alotaibi Abdulwahab Alazeb Mohammed Alonazi Aisha Ahmed AlArfaj Ahmad Jalal Jaekwang Kim Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia Information Systems Department Umm Al-Qura UniversityMakkahSaudi Arabia Department of Information Systems College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Convergence Program for Social Innovation Sungkyunkwan UniversitySuwon03063Korea
Human-human interaction recognition is crucial in computer vision fields like surveillance,human-computer interaction,and social *** enhances systems’ability to interpret and respond to human behavior *** research fo... 详细信息
来源: 评论