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检索条件"机构=Scientific Computing in Computer Science"
1345 条 记 录,以下是211-220 订阅
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Improved phase-field-based lattice Boltzmann method for thermocapillary flow
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Physical Review E 2022年 第1期105卷 015314-015314页
作者: Liqing Yue Zhenhua Chai Huili Wang Baochang Shi School of Mathematics and Statistics Huazhong University of Science and Technology Wuhan 430074 China Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Wuhan 430074 China School of Mathematical and Computer Sciences Wuhan Textile University Wuhan 430074 China
In this paper, we present an improved phase-field-based lattice Boltzmann (LB) method for thermocapillary flows with large density, viscosity, and thermal conductivity ratios. The present method uses three LB models t... 详细信息
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The Advanced Encryption Standard with a Dynamic S-Box Using the RC4 Key Schedule
The Advanced Encryption Standard with a Dynamic S-Box Using ...
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Electrical, computer and Energy Technologies (ICECET), International Conference on
作者: Abdelrahman Altigani Muhammad Rukunuddin Ghalib Huwaida T. Elshoush Muawia A. Elsadig Nashat Alrefai Shiraz Naserelden Computer Information Science Higher Colleges of Technology Al Ain UAE School of Engineering & Computing De Monfort University Dubai UAE Computer Science Department Faculty of Mathematical Sciences and Informatics University of Khartoum Khartoum Sudan College of Computer Science and Information Technology Imam Abdulrahman bin Faisal University Dammam KSA Department of Mathematics College of Science Imam Abdulrahman Bin Faisal University Basic and Applied Scientific Research Center Imam Abdulrahman Bin Faisal University Dammam KSA Department of Mathematical Sciences Faculty of Science Universiti Teknologi Malaysia Johor Malaysia
Since the inception of secure communication, safeguarding data confidentiality has been paramount. With the increased reliance on technology, the need for robust security mechanisms is more critical than ever. This pa... 详细信息
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Improving Scalability with GPU-Aware Asynchronous Tasks
Improving Scalability with GPU-Aware Asynchronous Tasks
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IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)
作者: Jaemin Choi David F. Richards Laxmikant V. Kale Department of Computer Science University of Illinois at Urbana-Champaign Urbana Illinois USA Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore California USA
Asynchronous tasks, when created with over-decomposition, enable automatic computation-communication overlap which can substantially improve performance and scal-ability. This is not only applicable to traditional CPU... 详细信息
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Cheesemap: A High-Performance Point-Indexing Data Structure for Neighbor Search in LiDAR Data
arXiv
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arXiv 2025年
作者: Laso, Ruben Yermo, Miguel Research Group for Scientific Computing Faculty of Computer Science University of Vienna Währinger Straße 29 Vienna Vienna1090 Austria Universidad de Santiago de Compostela Rúa de Jenaro de la Fuente Domínguez Galicia Santiago de Compostela15782 Spain
Point cloud data, as the representation of three-dimensional spatial information, is a fundamental piece of information in various domains where indexing and querying these point clouds efficiently is crucial for task... 详细信息
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Handwritten chemical formulas classification model using deep transfer convolutional neural networks  2
Handwritten chemical formulas classification model using dee...
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2nd IEEE International Conference on Electronic Engineering, ICEEM 2021
作者: Hagag, Ahmed Omara, Ibrahim Alfarra, Ahmed N. K. Mekawy, Fahd Benha University Faculty of Computers and Artificial Intelligence Department of Scientific Computing Benha13518 Egypt University Menoufia Faculty of Science Menoufia Department of Mathematics and Computer Science Menoufia32511 Egypt Harbin Institute of Technology School of Management Harbin150001 China
With the spread of the COVID19 pandemic, blended learning has become one of the most used methods in educational organizations such as universities, community colleges, and schools. In blended learning, the students&#... 详细信息
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AN END-TO-END DEEP LEARNING METHOD FOR SOLVING NONLOCAL ALLEN-CAHN AND CAHN-HILLIARD PHASE-FIELD MODELS
arXiv
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arXiv 2024年
作者: Geng, Yuwei Burkovska, Olena Ju, Lili Zhang, Guannan Gunzburger, Max Department of Mathematics University of South Carolina United States Computer Science and Mathematics Division Oak Ridge National Laboratory United States Department of Scientific Computing Florida State University United States Oden Institute for Computational Engineering and Sciences University of Texas at Austin United States
We propose an efficient end-to-end deep learning method for solving nonlocal Allen-Cahn (AC) and Cahn-Hilliard (CH) phase-field models. One motivation for this effort emanates from the fact that discretized partial di... 详细信息
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Pandemics in silico: Scaling Agent-based Simulations on Realistic Social Contact Networks
arXiv
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arXiv 2024年
作者: Kitson, Joy Costello, Ian Chen, Jiangzhuo Jiménez, Diego Hoops, Stefan Mortveit, Henning Meneses, Esteban Yeom, Jae-Seung Marathe, Madhav V. Bhatele, Abhinav Department of Computer Science University of Maryland College Park United States Google Inc. Mountain View United States Biocomplexity Institute and Initiative University of Virginia Charlottesville United States Max Planck Computing and Data Facility Garching Germany National Advanced Computing Collaboratory National High Technology Center San José Costa Rica Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore United States
Preventing the spread of infectious diseases requires implementing interventions at various levels of government and evaluating the potential impact and efficacy of those preemptive measures. Agent-based modeling can ... 详细信息
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A hybrid healthy diet recommender system based on machine learning techniques
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computers in Biology and Medicine 2025年 184卷 109389-109389页
作者: Sweidan, Sara Askar, S.S. Abouhawwash, Mohamed Badr, Elsayed Department of Artificial Intelligence Faculty of Computer and Artificial Intelligence Benha University Benha Egypt Faculty of Computer Science and Engineering New Mansoura University New Mansoura Egypt Department of Statistics and Operations Research College of Science King Saud University P.O. Box 2455 Riyadh11451 Saudi Arabia College of Engineering Michigan State University East LansingMI48824 United States Department of Mathematics Faculty of Science Mansoura University Mansoura35516 Egypt Department of Scientific Computing Faculty of Computer and Artificial Intelligence Benha University Benha Egypt Department of Information Systems College of Information Technology Misr University for Science & Technology Giza Egypt
Obesity is a chronic disease correlated with numerous risk factors that not only negatively affect all body functions but also increase the chances of developing chronic diseases and the associated morbidity and morta... 详细信息
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A 3D Implementation of Convolutional Neural Network for Fast Inference
A 3D Implementation of Convolutional Neural Network for Fast...
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IEEE International Symposium on Circuits and Systems (ISCAS)
作者: Narasinga Rao Miniskar Pruek Vanna-Iampikul Aaron Young Sung Kyu Lim Frank Liu Jieun Yoo Corrinne Mills Nhan Tran Farah Fahim Jeffrey S Vetter Computer Science and Mathematic Division Oak Ridge National Laboratory Oak Ridge USA Department of Electrical and Computer Engineering Georgia Institute of Technology Atlanta USA Department of Physics University of Illinois Chicago Chicago USA Scientific Computing Division Fermi National Accelerator Laboratory Chicago USA
Low latency inference has many applications in edge machine learning. In this paper, we present a run-time configurable convolutional neural network (CNN) inference ASIC design for low-latency edge machine learning. B...
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Kilometer-Scale E3SM Land Model Simulation over North America
arXiv
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arXiv 2025年
作者: Wang, Dali Wang, Chen Cao, Qinglei Schwartz, Peter Yuan, Fengming Krishna, Jayesh Wu, Danqing Ricciuto, Danial Thornton, Peter Kao, Shih-Chieh Thornton, Michele Mohror, Kathryn Environmental Sciences Division Oak Ridge National Laboratory Oak RidgeTN37831 United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory LivermoreCA United States Department of Computer Science Saint Louis University Saint LouisMO United States Mathematics and Computer Sciences Argonne National Laboratory ArgonneIL United States
The development of a kilometer-scale E3SM Land Model (km-scale ELM) is an integral part of the E3SM project, which seeks to advance energy-related Earth system science research with state-of-the-art modeling and simul... 详细信息
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