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检索条件"机构=System Engineering and Computer Science Program - COPPE"
429 条 记 录,以下是1-10 订阅
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Correntropy-Based Data Selective Adaptive Filtering
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IEEE Transactions on Circuits and systems I: Regular Papers 2024年 第2期71卷 754-766页
作者: Chien, Ying-Ren Wu, Sheng-Teng Tsao, Hen-Wai Diniz, Paulo S.R. Adaptive and Autonomous Communication Laboratory Department of Electrical Engineering National Ilan University Yilan City260007 Taiwan College of Electrical Engineering and Computer Science Graduate Institute of Communication Engineering National Taiwan University Taipei10617 Taiwan Program of Electrical Engineering Department of Electronics and Computer Engineering COPPE/Poli Universidade Federal do Rio de Janeiro Rio de Janeiro68504 Brazil
Data selection can be used in conjunction with adaptive filtering algorithms to avoid unnecessary weight updating and thereby reduce computational overhead. This paper presents a novel correntropy-based data selection... 详细信息
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Random Number Generator for Securing Data Exchange in Smart Factory: Recent Trends and Best Practices  3
Random Number Generator for Securing Data Exchange in Smart ...
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3rd International Conference on computer Technologies, ICCTech 2024
作者: Sama, Andi Meyliana Heryadi, Yaya Sahroni, Taufik Roni Bina Nusantara University Binus Graduate Program - Computer Science Computer Science Department Jakarta11480 Indonesia Bina Nusantara University School of Information System Information System Department Jakarta11480 Indonesia BINUS Graduate Program-Doctor of Computer Science Jakarta Computer Science Department Jakarta11530 Indonesia Bina Nusantara University BINUS Graduate Program - Master of Industrial Engineering Industrial Engineering Department Jakarta11480 Indonesia
IT/OT convergence in the form of a Cyber-Physical system (CPS) presents an opportunity to apply recent Information Technology (IT) advancements to Operational Technology (OT). The IT/OT convergence introduces cyber se... 详细信息
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A Q-Learning Hybrid BRKGA Applied to the Knapsack Problem with Forfeits  13
A Q-Learning Hybrid BRKGA Applied to the Knapsack Problem wi...
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13th IEEE Congress on Evolutionary Computation, CEC 2024
作者: Souto, Gabriel Aritsugi, Masayoshi Mendonca, Israel Simonetti, Luidi González, Pedro Henrique Federal University of Rio de Janeiro System Engineering and Computer Science Program Rio de Janeiro Brazil Kumamoto University Faculty of Advanced Science and Technology Kumamoto Japan
This paper presents a hybrid BRKGA (Q-HBRKGA) that combines BRKGA with Q-learning and a Local Branching technique to solve the Knapsack Problem with Forfeits(KPF). The aim is to tackle this problem, a vari-ant of the ... 详细信息
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A Hybrid Approach with BRKGA and Data Mining for the Early/Tardy Scheduling Problem  13
A Hybrid Approach with BRKGA and Data Mining for the Early/T...
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13th IEEE Congress on Evolutionary Computation, CEC 2024
作者: Mendonça, Israel Fatyanosa, Tirana Noor Aritsugi, Masayoshi Silva, Pedro Henrique González Kumamoto University Faculty of Advanced Science and Technology Kumamoto Japan Brawijaya University Faculty of Computer Science Malang Indonesia Federal University of Rio de Janeiro System Engineering and Computer Science Program Rio de Janeiro Brazil
This paper introduces a novel hybrid genetic algorithm combined with data mining to solve a version of the early/tardy scheduling problem in which no unforced idle time may be inserted in a sequence. The chromosome re... 详细信息
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Sentiment Analysis in Indonesian Trading using Lexicon-based and Support Vector Machine
Sentiment Analysis in Indonesian Trading using Lexicon-based...
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2023 International Conference on computer science, Information Technology and engineering, ICCoSITE 2023
作者: Oetama, Raymond Sunardi Yanfi, Yanfi Ikhsan Assiddiq Up, Masagus M. Muhamad Isa, Sani Universitas Multimedia Nusantara Information System DepartmentFaculty of Engineering and Informatics Jakarta Indonesia Bina Nusantara University BINUS Graduate Program Computer Science School of Computer Science Computer Science Department Jakarta Indonesia Bina Nusantara University BINUS Graduate Program Computer Science Computer Science Department Jakarta Indonesia
Many individuals now trade online utilizing trading software in the digital world. Binomo is one of Indonesia's most popular trading platforms. This is because some influencers made several promises to Binomo cust... 详细信息
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TESTING FACILITY LOCATION WITH CONSTRAINED QUEUE TIME PROBLEM: A CASE STUDY IN FLORIDA, USA
TESTING FACILITY LOCATION WITH CONSTRAINED QUEUE TIME PROBLE...
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2024 Winter Simulation Conference, WSC 2024
作者: Monteiro, Almir Antonio Schneider, Rafael de Almeida Guimarães, Vanessa González, Pedro Henrique System Engineering and Computer Science Program Federal University of Rio de Janeiro Brazil COPPEAD Graduate School of Business Federal University of Rio de Janeiro Brazil
This study addresses the Testing Facility Location with Constrained Queue Time Problem. This optimization problem focuses on determining the best places to deploy testing sites and their available testers for infectio... 详细信息
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Software Product Line for Metaverse: Preliminary Results  19
Software Product Line for Metaverse: Preliminary Results
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2022 IEEE SmartWorld, 19th IEEE International Conference on Ubiquitous Intelligence and Computing, 2022 IEEE International Conference on Autonomous and Trusted Vehicles Conference, 22nd IEEE International Conference on Scalable Computing and Communications, 2022 IEEE International Conference on Digital Twin, 8th IEEE International Conference on Privacy Computing and 2022 IEEE International Conference on Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PriComp/Metaverse 2022
作者: Fernandes, Filipe Werner, Cláudia Universidade Federal Do Rio de Janeiro - COPPE/UFRJ System Engineering and Computer Science Department Rio de Janeiro Brazil
The Metaverse is very challenging to implement solutions for eXtended Reality applications (XR apps), due to the combination of complex concerns that should be addressed: multiple users with non-traditional input and ... 详细信息
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Hotel Information system Management Audit Using COBIT 2019 - APO12  2
Hotel Information System Management Audit Using COBIT 2019 -...
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2nd International Conference for Innovation in Technology, INOCON 2023
作者: Utamajaya, Joy Nashar Supangat, Suhono Harso Gaol, Ford Lumban Ranti, Benny BINUS University BINUS Graduate Program School of Information System Jakarta Indonesia Bandung Institute of Technology School of Electrical Engineering and Informatic Bandung Indonesia Bina Nusantara University Computer Science Department BINUS Graduate Program Computer Science Jakarta Indonesia University of Indonesia Computer Science Department Faculty of Computer Science Depok Indonesia
In general, public or private organizations or companies have used information-based technology as a support to improve business performance to be more effective and efficient in order to achieve a company's busin... 详细信息
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Optimization of Node Reduction Using BRKGA for GNN-Based Traffic Speed Forecasting  13
Optimization of Node Reduction Using BRKGA for GNN-Based Tra...
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13th IEEE Congress on Evolutionary Computation, CEC 2024
作者: Inokuchi, Yuto González, Pedro Henrique Mendonça, Israel Aritsugi, Masayoshi Graduate School of Science and Technology Kumamoto University Kumamoto Japan Federal University of Rio de Janeiro System Engineering and Computer Science Program Rio de Janeiro Brazil Kumamoto University Faculty of Advanced Science and Technology Kumamoto Japan
While Spatio-Temporal Graph Convolutional Networks (STGCNs) are an effective method for traffic speed fore-casting, their training and inference tend to be time-consuming. In this paper, we aim to refine these network... 详细信息
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Efficient Hyperparameter Optimization Using Deep Q-Network and BRKGA  13
Efficient Hyperparameter Optimization Using Deep Q-Network a...
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13th IEEE Congress on Evolutionary Computation, CEC 2024
作者: Kobayashi, Kosei Aritsugi, Masayoshi González, Pedro Henrique Mendonça, Israel Graduate School of Science and Technology Kumamoto University Kumamoto Japan Faculty of Advanced Science and Technology Kumamoto University Kumamoto Japan System Engineering and Computer Science Program Federal University of Rio de Janeiro Rio de Janeiro Brazil
Hyperparameter optimization (HPO) is paragon to maximize performance when designing machine learning models. Among different HPO methods, Genetic Algorithm (GA) based optimization is considered effective because it al... 详细信息
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