بدائل البحث:
lacking algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
develop » developed (توسيع البحث)
colony » colon (توسيع البحث)
element » elements (توسيع البحث)
lacking algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
develop » developed (توسيع البحث)
colony » colon (توسيع البحث)
element » elements (توسيع البحث)
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An ant colony optimization algorithm to improve software quality prediction models
منشور في 2011"…We use an ant colony optimization algorithm in the adaptation process. …"
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Variable Selection in Data Analysis: A Synthetic Data Toolkit
منشور في 2024"…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
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4
General applicability of genetic and simulated annealing algorithms for data mapping
منشور في 1995"…We experimentally analyze the general applicability of genetic algorithms (GA) and simulated annealing algorithms (SA) for mapping data to multicomputers. …"
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conferenceObject -
5
Properties of simulated annealing and genetic algorithms for mapping data to multicomputers
منشور في 1997"…We experimentally analyze some properties of simulated annealing algorithms (SA) and genetic algorithms (GA) for mapping data to multicomputers. …"
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Bird’s Eye View feature selection for high-dimensional data
منشور في 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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Optimization of Piezoelectric Sensor-Actuator for Plate Vibration Control Using Evolutionary Computation: Modeling, Simulation and Experimentation
منشور في 2021"…The Optimal location of the collocated sensor-actuator, as well as PID controller gains, are determined using Ant Colony Optimization (ACO) technique, then compared with the Genetic Algorithm (GA) and enumerative method (EM). …"
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A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
منشور في 2021"…In the last two decades, various evolutionary algorithms (EAs) were developed and still are developing under the umbrella of evolutionary computation. …"
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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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احصل على النص الكامل
conferenceObject -
16
Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning
منشور في 2024احصل على النص الكامل
doctoralThesis -
17
A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai
منشور في 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
منشور في 2015احصل على النص الكامل
doctoralThesis -
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Nonlinear analysis of shell structures using image processing and machine learning
منشور في 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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