بدائل البحث:
sampling algorithm » scheduling algorithm (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
client modeling » agent modeling (توسيع البحث), event modeling (توسيع البحث)
rf algorithm » rd algorithm (توسيع البحث), _ algorithms (توسيع البحث)
elements rf » elements _ (توسيع البحث)
sampling algorithm » scheduling algorithm (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
client modeling » agent modeling (توسيع البحث), event modeling (توسيع البحث)
rf algorithm » rd algorithm (توسيع البحث), _ algorithms (توسيع البحث)
elements rf » elements _ (توسيع البحث)
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1
Intelligent Bilateral Client Selection in Federated Learning Using Game Theory
منشور في 2022"…Based on our simulation findings, our strategy surpasses the VanillaF selection approach in terms of maximizing both the revenues of the client devices and accuracy of the global federated learning model.…"
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masterThesis -
2
Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications
منشور في 2017احصل على النص الكامل
doctoralThesis -
3
Adaptive Federated Learning Architecture To Mitigate Non-IID Through Multi-Objective GA-Based Efficient Client Selection
منشور في 2024"…Existing solutions still have several constraints leading to suboptimal model performance and slow convergence. In this paper, we propose a novel approach that incorporates genetic algorithms with an enhanced client selection strategy, utilizing client metadata rather than raw data. …"
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masterThesis -
4
Development of an Optimization Algorithm for Internet Data Traffic
منشور في 2020"…Furthermore, as the proposed algorithm works at IP datagrams only, therefore, it remains transparent from all client-server applications.…"
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article -
5
Algorithmic Study of Online Multi-Facility Location Problems
منشور في 2022"…The aim of the algorithm is then to provide a robust service to all clients while minimizing the total connecting and facility purchasing costs. …"
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article -
6
Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
منشور في 2016احصل على النص الكامل
doctoralThesis -
7
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8
Modeling and automated blackbox regression testing of web applications
منشور في 2008"…Motivated by the fact that there is no single model to represent the entire web application, and to model it from different perspectives at the same time, we propose a single analysis model with it testing techniques which models and tests the three poles of the web application: the client side pages navigated by the user, the server side programs executed at runtime, and the architectural environment hosting the application. …"
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article -
9
Brain Source Localization in the Presence of Leadfield Perturbations
منشور في 2015احصل على النص الكامل
doctoralThesis -
10
Modeling, testing, and regression testing of web applications. (c2006)
منشور في 2006احصل على النص الكامل
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masterThesis -
11
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12
Exposure of Botnets in Cloud Environment by Expending Trust Model with CANFES Classification Approach
منشور في 2022"…The goal is to be able to detect a larger range of bots and botnets by relying on several techniques called trust model. On this work, the port access verification in trust model is achieved by a Heuristic factorizing algorithm which verifies the port accessibility between client-end-user and client server. …"
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13
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14
Investigation of Forming a Framework to shortlist contractors in the tendering phase
منشور في 2022"…After obtaining the weights of the decision factors, a model using Machine Learning algorithm on Google Colab was written using the Python language. …"
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15
A 3-D vision-based man-machine interface for hand-controlled telerobot
منشور في 2005"…To determine the three-dimensional (3-D) position a tracking algorithm based on uncalibrated cameras with weak perspective projection model is used. …"
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article -
16
Localizing-ground Transmitters Using Airborne Antenna Array
منشور في 2020احصل على النص الكامل
doctoralThesis -
17
XBeGene: Scalable XML Documents Generator by Example Based on Real Data
منشور في 2012"…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …"
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conferenceObject -
18
Assessing Factors Influencing Customers’ Adoption of AI-Based Voice Assistants
منشور في 2024"…It also provides implications for tech-managers and algorithm designers to build effective voice technology for superior user experience.…"