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检索条件"机构=Computer Science Master Program"
1027 条 记 录,以下是131-140 订阅
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Peak Picking Multiple Onset Detection Functions Using Recurrent Neural Networks  22
Peak Picking Multiple Onset Detection Functions Using Recurr...
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10th International Conference on computer and Communications Management, ICCCM 2022
作者: Xuan, Mobai Mizutani, Tetsuya Master's Program in Computer Science University of Tsukuba Japan Department of Information Engineering University of Tsukuba Japan
Onset detection is a fundamental task in music information retrieval (MIR). Classical approaches using onset detection functions (ODFs) and hand-crafted peak-picking methods are outperformed by those utilizing neural ... 详细信息
来源: 评论
Mapping the Scientific Landscape of Integrated Scheduling Towards Industry 5.0 with A Bibliometric Analysis  6
Mapping the Scientific Landscape of Integrated Scheduling To...
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6th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2024
作者: Putri Ardyanti, Anak Agung Ayu Xie, Zhiqiang Karnyoto, Andrea Stevens Pardamean, Bens Estiyanti, Ni Made School of Computer Science and Technology Harbin University of Science and Technology Harbin150000 China Faculty of Information Technology and Design Primakara University Bali 80226 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta 11480 Indonesia School of Management and Business University of Debrecen Debrecen Hungary
The industry is rapidly transitioning from the 4.0 era to the 5.0 era, prompting renewed interest among scholars in scheduling problems. They allow operations to process and assemble various components simultaneously.... 详细信息
来源: 评论
Multivariate Time-Series Deep Learning for Joint Prediction of Temperature and Relative Humidity in a Closed Space  8
Multivariate Time-Series Deep Learning for Joint Prediction ...
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8th International Conference on computer science and Computational Intelligence, ICCSCI 2023
作者: Gunawan, Fergianto E. Budiman, Arief S. Pardamean, Bens Juana, Endang Romeli, Sugiarto Cenggoro, Tjeng W. Purwandari, Kartika Hidayat, Alam A. Redi, Anak A.N.P. Asrol, Muhammad Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Jakarta11480 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Electrical Engineering Department Faculty of Industrial Technology Universitas Trisakti Jakarta11440 Indonesia PT Impack Pratama Industri Jakarta14350 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Mathematics Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia
An accurate predictive model of temperature and humidity plays a vital role in many industrial processes that utilize a closed space such as in agriculture and building management. With the exceptional performance of ... 详细信息
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Digital Twin (DT) Smart City for Air Quality Management  8
Digital Twin (DT) Smart City for Air Quality Management
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8th International Conference on computer science and Computational Intelligence, ICCSCI 2023
作者: Ariansyah, Dedy Isnan, Mahmud Rahutomo, Reza Pardamean, Bens Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program-Master of Computer Science Program Bina Nusantara University Jakarta11480 Indonesia
Air pollution is a pressing issue in cities, and managing air quality poses a challenge for urban designers and decision-makers. This study proposes a Digital Twin (DT) Smart City integrated with Mixed Reality technol... 详细信息
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Time-series Analysis of Correlation between Climatic Parameters and Dengue Fever in Indonesia  4
Time-series Analysis of Correlation between Climatic Paramet...
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4th International Conference on Informatics, Multimedia, Cyber and Information System, ICIMCIS 2022
作者: Nirwantono, Rudi Trinugroho, Joko Pebrianto Sudigyo, Digdo Hidayat, Alam Ahmad Pardamean, Bens Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Bina Nusantara University Binus Graduate Program Master of Computer Science Program Computer Science Department Jakarta11480 Indonesia
Dengue fever is mainly caused by female mosquitoes from the genus Aedes. It predominantly occurs in equatorial to sub-tropical regions. The weather factors play a significant role in the mosquito life cycle, so a stud... 详细信息
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Group Decision Support Model for Tech-Based Startup Funding Using Multistage Fuzzy Logic
Informatica (Slovenia)
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Informatica (Slovenia) 2023年 第6期47卷 131-144页
作者: Devanda, Muhammad Donny Utama, Ditdit Nugeraha Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia
The startup business model has grown rapidly in the last few years. However, giving investment or funding to a startup, especially in its early stages, is difficult because the risk is higher than a conventional compa... 详细信息
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Systematic Literature Review on Machine Learning Predictive Models for Indoor Climate in Smart Solar Dryer Dome  4
Systematic Literature Review on Machine Learning Predictive ...
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4th International Conference on Cybernetics and Intelligent System, ICORIS 2022
作者: Setiawan, Karli Eka Elwirehardja, Gregorius Natanael Pardamean, Bens Bina Nusantara University BINUS Graduate Program Master of Computer Science Program Computer Science Department Jakarta11480 Indonesia Bina Nusantara University Bioinformatics and Data Science Research Center Jakarta11480 Indonesia
Precise predictions of indoor climate conditions are required in the implementation of Smart Solar Dryer Dome (SDD). Trend development of prediction models is discussed in this review from 15 selected research papers ... 详细信息
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An Incremental Learning Model for Network Intrusion Detection Systems  10
An Incremental Learning Model for Network Intrusion Detectio...
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10th International Conference on Applied System Innovation, ICASI 2024
作者: Wang, Shang-Te Sun, Shi-Sheng Master Program in Information Security National Chengchi University Taiwan National Chengchi University Department of Computer Science No.64 Sec.2 ZhiNan Rd. Wenshan District Taipei Taiwan
With the ever-increasing complexity of Internet security issues, new attack types can be detected every day. The Network Intrusion Detection System (NIDS) can quickly identify and deal with attacks. In this paper, we ... 详细信息
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Lip-Reading with Visual Form Classification using Residual Networks and Bidirectional Gated Recurrent Units
HighTech and Innovation Journal
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HighTech and Innovation Journal 2023年 第2期4卷 375-386页
作者: Anni Suharjito Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia
Lip-reading is a method that focuses on the observation and interpretation of lip movements to understand spoken language. Previous studies have exclusively concentrated on a single variation of residual networks (Res... 详细信息
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Integrated Framework for IT Asset Physical Security: A Risk Management Approach Using NIST and ISO Standards
Integrated Framework for IT Asset Physical Security: A Risk ...
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International Conference on Information Technology Systems and Innovation (ICITSI)
作者: Ricky Alamsyah Yulyani Arifin Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program - Computer Science Bina Nusantara University Jakarta Indonesia
This study presents a comprehensive approach to IT asset security risk management in physical access control systems, integrating NIST SP 800-116, 800-53, 800-30, ISO 31000, and 27002:2022 standards. Using a mixed-met... 详细信息
来源: 评论