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modeling algorithm » scheduling algorithm (Expand Search)
client modeling » agent modeling (Expand Search), event modeling (Expand Search)
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data algorithm » jaya algorithm (Expand Search)
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Intelligent Bilateral Client Selection in Federated Learning Using Game Theory
Published 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 -
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Bird’s Eye View feature selection for high-dimensional data
Published 2023“…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …”
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Adaptive Federated Learning Architecture To Mitigate Non-IID Through Multi-Objective GA-Based Efficient Client Selection
Published 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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Development of an Optimization Algorithm for Internet Data Traffic
Published 2020“…Furthermore, as the proposed algorithm works at IP datagrams only, therefore, it remains transparent from all client-server applications.…”
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Algorithmic Study of Online Multi-Facility Location Problems
Published 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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Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
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Estimating Construction Project Duration Using a Machine Learning Algorithm
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masterThesis -
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XBeGene: Scalable XML Documents Generator by Example Based on Real Data
Published 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 -
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Modeling and automated blackbox regression testing of web applications
Published 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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A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai
Published 2024“…The proposed framework comprises key elements: Important Decisions derived from interviews with transportation leaders, Knowledge Management enhanced by AI algorithms, Data Mining/Analysis utilizing historical data, the Fleet Management System employing Oracle ERP, and a Data-Driven Decision Support Framework that leans towards the extended framework approach. …”
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Brain Source Localization in the Presence of Leadfield Perturbations
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Modeling, testing, and regression testing of web applications. (c2006)
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masterThesis -
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Nonlinear analysis of shell structures using image processing and machine learning
Published 2023“…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …”
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Exposure of Botnets in Cloud Environment by Expending Trust Model with CANFES Classification Approach
Published 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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Correlation Clustering with Overlaps
Published 2020“…Moreover, we allow the new vertex splitting operation, which allows the resulting clusters to overlap. In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …”
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Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV
Published 2013Get full text
doctoralThesis