بدائل البحث:
using algorithms » cosine algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
using algorithms » cosine algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
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Allocation and re-allocation of data in a grid using an adaptive genetic algorithm
منشور في 2006"…Allocation and re-allocation of data in a grid using an adaptive genetic algorithm. …"
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22
Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities
منشور في 2002"…This paper presents an investigation of the applicability of a genetic approach for solving the construction site layout problem. This problem involves coordinating the use of limited site space to accommodate temporary facilities so that transportation cost of materials is minimized. …"
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23
Stochastic Search Algorithms for Exam Scheduling
منشور في 2007"…Then, we empirically compare the three proposed algorithms and FESP using realistic data. Our experimental results show that SA and GA produce good exam schedules that are better than those of FESP heuristic procedure. …"
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Efficient Approximate Conformance Checking Using Trie Data Structures
منشور في 2021"…By encoding the proxy behavior using a trie data structure, we obtain a logarithmically reduced search space for alignment computation compared to a set-based representation. …"
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A method for data path synthesis using neural networks
منشور في 2017احصل على النص الكامل
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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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Using Machine Learning Algorithms to Forecast Solar Energy Power Output
منشور في 2025"…We focused on the first 30-min, 3-h, 6-h, 12-h, and 24-h windows to gain an appreciation of the impact of forecasting duration on the accuracy of prediction using the selected machine learning algorithms. The study results show that Random Forest outperformed all other tested algorithms. …"
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Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms
منشور في 2022"…This was accomplished by (1) extracting reliable LULC information from Sentinel-2 and Landsat-8 s images, (2) generating remote sensing indices used to train ML algorithms, and (3) comparing the results with ground truth data. …"
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Social spider optimization algorithm: survey and new applications
منشور في 2024"…Finally, this chapter provides an expectation of the fields that need to work with this algorithm to improve problem-solving and the fields that have a growing number studies that use this algorithm.…"
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33
Data reductions and combinatorial bounds for improved approximation algorithms
منشور في 2016"…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …"
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Distributed dimension reduction algorithms for widely dispersed data
منشور في 2002احصل على النص الكامل
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35
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Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm
منشور في 2024"…Additionally, these data can be readily applied to compare algorithmic results referenced by (Babu, T.S. et al., 2015; PrasanthRam, J. et al., 2017) [2,3], and contribute to the development of new processes for practical applications.…"
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37
Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
منشور في 2022"…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …"
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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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