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检索条件"机构=Computer Science and Applied Math. Department"
816 条 记 录,以下是1-10 订阅
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Optimization of Deep Learning Model for Plant Disease Detection Using Particle Swarm Optimizer
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computers, Materials & Continua 2022年 第5期71卷 4019-4031页
作者: Ahmed Elaraby Walid Hamdy Madallah Alruwaili Department of Computer Science Faculty of Computers and InformationSouth Valley UniversityQenaEgypt Department of Math. &Computer Science Faculty of SciencePort Said UniversityEgypt College of Computer and Information Sciences Jouf UniversitySakakaAljoufKingdom of Saudi Arabia
Plant diseases are a major impendence to food security,and due to a lack of key infrastructure in many regions of the world,quick identification is still *** losses owing to illnesses are a severe problem for both lar... 详细信息
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The Impact of GPU on Containerized computer Vision Applications on Edge Nodes  8
The Impact of GPU on Containerized Computer Vision Applicati...
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8th IEEE International Conference on Edge Computing and Communications, EDGE 2024
作者: Alqaisi, Osamah I. Tosun, Ali Saman Korkmaz, Turgay University of Texas at San Antonio Department of Computer Science San AntonioTX78249 United States The University of North Carolina at Pembroke Dep. of Math. and Computer Science NC28372 United States
Edge computing revolutionizes computer vision, but faces challenges due to computational demands and complexities in deployment and platform integration. In addressing these hurdles, container technology emerges as a ... 详细信息
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A Robust Cold-Start Approach Using Phylogram  10
A Robust Cold-Start Approach Using Phylogram
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10th International Conference on Optimization and Applications, ICOA 2024
作者: Da Silva, Breno Caetano Franco, Jorge Luiz Branco, Hermes Manoel Galvão Castelo Tokuda, Eric Delbem, Alexandre Claudio Botazzo Federal Institute of Maranhão Computer Science Department Teresina Brazil Inst. of Math. and Computer Science University of São Paulo São Carlos Brazil Federal University of Piaui Electrical Engineering Department Teresina Brazil
In Active Learning (AL) applications, it is crucial to develop a model that efficiently represents data using a limited number of labeled samples. In this context, an oracle is often employed to label samples that are... 详细信息
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IDS-INT:Intrusion detection system using transformer-based transfer learning for imbalanced network traffic
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Digital Communications and Networks 2024年 第1期10卷 190-204页
作者: Farhan Ullah Shamsher Ullah Gautam Srivastava Jerry Chun-Wei Lin School of Software Northwestern Polytechnical UniversityXian710072ShaanxiChina Knowledge Unit of Systems and Technology University of Management and TechnologySialkot 51040Pakistan Department of Math and Computer Science Brandon UniversityBrandonMB R7A 6A9Canada Department of Computer Science and Math Lebanese American UniversityBeirut1102Lebanon Western Norway University of Applied Sciences BergenNorway Research Centre for Interneural Computing China Medical UniversityTaichungTaiwanChina
A network intrusion detection system is critical for cyber security against llegitimate *** terms of feature perspectives,network traffic may include a variety of elements such as attack reference,attack type,a subcat... 详细信息
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Enhancing Missing Data Imputation for Migrants Data: A Neutrosophic Set-Based Machine Learning Approach
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Neutrosophic Sets and Systems 2025年 81卷 479-502页
作者: Abdo, Doaa A. Salama, A.A. Abdelmegaly, Alaa A. Mahmoud, Hanan Khadari Mahdi Applied statistics and insurance department faculty of commerce Mansoura university Mansoura Egypt Dept. of Math and Computer Sci. Faculty of Science Port Said Univ. Egypt Higher Institute of Advanced Management Sciences and Computers Al-Buhayrah Egypt Depatrment of applied statistics at the Nile Higher Institute of commercial sciences and Computer Technology in Mansoura Egypt
This study tackles the problem of missing data in migrant datasets by introducing a new framework that combines machine learning techniques with neutrosophic sets. These sets, which can represent uncertainty and ambig... 详细信息
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A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs  37
A Theory of Link Prediction via Relational Weisfeiler-Leman ...
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37th Conference on Neural Information Processing Systems, NeurIPS 2023
作者: Huang, Xingyue Romero, Miguel Ceylan, Ismail Ilkan Barceló, Pablo Department of Computer Science University of Oxford Oxford United Kingdom Department of Computer Science Universidad Católica de Chile Chile CENIA Chile Chile Inst. for Math. and Comp. Eng. Universidad Católica de Chile Chile IMFD Chile Chile
Graph neural networks are prominent models for representation learning over graph-structured data. While the capabilities and limitations of these models are well-understood for simple graphs, our understanding remain... 详细信息
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Generalized paths and cycles in semicomplete multipartite digraphs
arXiv
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arXiv 2024年
作者: Bang-Jensen, Jørgen Wang, Yun Yeo, Anders Dept. of Math. and Computer Science University of Southern Denmark Odense Denmark Dept. of Math. and Computer Science University of Southern Denmark Odense Denmark School of Mathematics Shandong University Jinan250100 China Department of Mathematics and Applied Mathematics University of Johannesburg Auckland Park2006 South Africa
A digraph is semicomplete if it has no pair of non-adjacent vertices. It is complete if every pair of distinct vertices induce a 2-cycle. It is well-known and easy to show that even the following version of the direct... 详细信息
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Adjacency Sketches in Adversarial Environments
arXiv
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arXiv 2023年
作者: Naor, Moni Pekel, Eugene Department of Computer Science and Applied Math Weizmann Institute of Science
An adjacency sketching or implicit labeling scheme for a family F of graphs is a method that defines for any n vertex G ∈ F an assignment of labels to each vertex in G, so that the labels of two vertices tell you whe... 详细信息
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Grassroots Systems: Concept, Examples, Implementation and Applications
arXiv
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arXiv 2023年
作者: Shapiro, Ehud Department of Computer Science and Applied Math Weizmann Institute of Science Israel
Informally, a grassroots system is a distributed system that can have multiple instances, independent of each other and of any global resources, that can interoperate once interconnected. More formally, in a grassroot... 详细信息
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On biased compression for distributed learning
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2023年 第1期24卷 12974-13023页
作者: Aleksandr Beznosikov Samuel Horváth Peter Richtárik Mher Safaryan Computer Electrical and Math. Sciences and Engineering Division King Abdullah University of Science and Technology Thuwal KSA and Skolkovo Institute of Science and Technology Moscow Russia and School of Applied Mathematics and Informatics Moscow Institute of Physics and Technology Moscow Russia Computer Electrical and Math. Sciences and Engineering Division King Abdullah University of Science and Technology Thuwal KSA
In the last few years, various communication compression techniques have emerged as an indispensable tool helping to alleviate the communication bottleneck in distributed learning. However, despite the fact biased com... 详细信息
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