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检索条件"机构=Computer Science and Engineering and Cognitive Science Program"
7258 条 记 录,以下是161-170 订阅
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Enhancing Acute Ischemic Stroke Diagnosis Using IoMT and Deep Learning Technologies
Enhancing Acute Ischemic Stroke Diagnosis Using IoMT and Dee...
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2024 International Telecommunications Conference, ITC-Egypt 2024
作者: El-Sheikh, Mohamed M. Bayoumy, Aya Ahmed, Nada M. Mohamed Eldeeb, Amany Rabea, Fatma I. Nawar, Amira A. Khattap, Mohamed G. Galal Eldeen Mohamed Ali Hassan, Hend Mostafa, Mariam Ibrahim, Nayra Ramadan, Reem Refaat, Yomna Khaled, Mennatallah Maher, Ali Abd Elaziz, Mohamed Gamal Abdellatif Ibrahim, Ahmed Radiology and Medical Imaging Faculty of Applied Health Sciences Galala University Suez435611 Egypt Faculty of Computer Science and Engineering Galala University Suez435611 Egypt Artificial Intelligence Science Program Faculty of Computer Science and Engineering Galala University Suez435611 Egypt Air Defense College Department of Electronics and Electrical Communications Engineering Alexandria Egypt
This paper introduces an alternative technique for diagnosing Acute Ischemic Stroke within the IoMT environment. In the proposed approach, the collected data is transmitted to a cloud-based center where the technique ... 详细信息
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FPGA implementation of low cost and low power chaotic encryption scheme based on a discrete-space chaotic map
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Multimedia Tools and Applications 2025年 1-22页
作者: Moreira Bezerra, João Inácio Machado, Gustavo Iankowski Soares, Rafael Valduga de Almeida Camargo, Vinícius Molter, Alexandre Post Graduate Program in Computer Science Universidade Federal de Pelotas Rio Grande do Sul Pelotas96010610 Brazil Graduate Program in Computer Engineering Universidade Federal de Pelotas Rio Grande do Sul Pelotas96010610 Brazil Post Graduate Program in Mathematical Modeling Universidade Federal de Pelotas Rio Grande do Sul Capão do Leão96160000 Brazil
The exponential growth of the number of devices connected to the Internet and the use of IoT applications increases the amount of data exchange over public channels in low-cost and low-power embedded systems. Images a... 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
来源: 评论
Speaker Motion Patterns during Self-repairs in Natural Dialogue  24
Speaker Motion Patterns during Self-repairs in Natural Dialo...
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24th ACM International Conference on Multimodal Interaction, ICMI 2022
作者: Ozkan, Elif Ecem Gurion, Tom Hough, Julian Healey, Patrick G.T. Jamone, Lorenzo School of Electronic Engineering and Computer Science Queen Mary University of London United Kingdom Cognitive Science Research Group School of Electronic Engineering and Computer Science Queen Mary University of London United Kingdom
An important milestone for any agent in interaction with humans on a regular basis is to achieve natural and efficient methods of communication. Such strategies should be derived on the hallmarks of human-human intera... 详细信息
来源: 评论
Asynchronous I/O Persistence for In-Memory Database Servers: Leveraging io_uring to Optimize Redis Persistence  17th
Asynchronous I/O Persistence for In-Memory Database Servers:...
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17th International Conference on Cloud Computing, CLOUD 2024, Held as Part of the Services Conference Federation, SCF 2024
作者: Chen, Le-Gao Li, Yanzhi Laohakangvalvit, Tipporn Sugaya, Midori Innovative Global Program College of Engineering Shibaura Institute of Technology Tokyo Koto City Japan Department of Computer Science and Engineering College of Engineering Shibaura Institute of Technology Tokyo Koto City Japan
With constant hardware improvements allowing for increasingly large memory sizes, in-memory database servers have become an attractive option for various cloud applications. Even though in-memory database servers stor... 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
来源: 评论
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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Efficient Node Reduction Heuristic for GNN-Based Traffic Speed Forecasting  11
Efficient Node Reduction Heuristic for GNN-Based Traffic Spe...
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11th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2024
作者: Inokuchi, Yuto Gonzalez, Pedro Henrique Aritsugi, Masayoshi Mendonca, Israel Kumamoto University Graduate School of Science and Technology 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
In this paper, we aim to reduce the number of nodes from Graph Neural Networks (GNNs), thereby simplifying models and reducing computational costs. GNNs are highly effective for various tasks, such as prediction, clas... 详细信息
来源: 评论
PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization  30
PROM: A Phrase-level Copying Mechanism with Pre-training for...
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Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024
作者: Ma, Xinbei Gong, Yeyun He, Pengcheng Zhao, Hai Duan, Nan Department of Computer Science and Engineering Shanghai Jiao Tong University China Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Shanghai Jiao Tong University China Microsoft Research Asia China
Based on the remarkable achievements of pre-trained language models in abstractive summarization, the copying mechanism has proved helpful by improving the factuality, stability, and overall performance. This work pro... 详细信息
来源: 评论
Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis  24
Towards Efficient and Diverse Generative Model for Unconditi...
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32nd ACM International Conference on Multimedia, MM 2024
作者: Yu, Hua Liu, Weiming Bai, Jiapeng Gui, Xu Hou, Yaqing Ong, Yewsoon Zhang, Qiang Key Laboratory of Social Computing and Cognitive Intelligence Ministry of Education School of Computer Science and Technology Dalian University of Technology Dalian China College of Computer Science Zhejiang University Hangzhou China National and Local Joint Engineering Laboratory of Computer Aided Design School of Software Engineering Dalian University Dalian China College of Computing and Data Science Nanyang Technological University Singapore Singapore Yonsei University Seoul Korea Republic of
Recent generative methods have revolutionized the way of human motion synthesis, such as Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Denoising Diffusion Probabilistic Models (DMs). The... 详细信息
来源: 评论