بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
data testing » data using (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
data testing » data using (توسيع البحث)
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Web Applications Security Testing: Genetic Algorithms Based Test Data Generator
منشور في 2020احصل على النص الكامل
masterThesis -
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Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology
منشور في 2023"…Algorithms were tested using the test power system IEEE39. …"
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article -
6
Physical optimization algorithms for mapping data to distributed-memory multiprocessors
منشور في 1992"…PGA has excellent speed-ups by virtue of the natural evolution model on which it is based. PSA and PNN include communication schemes adapted to the properties of the mapping problem and of the algorithms themselves for reducing the communication overhead. …"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
7
Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
منشور في 2016الموضوعات: احصل على النص الكامل
doctoralThesis -
8
Security testing and evaluation of cryptography algorithms. (c2003)
منشور في 2003احصل على النص الكامل
احصل على النص الكامل
masterThesis -
9
A genetic algorithm for corrective retesting. (c1995)
منشور في 1995الموضوعات: احصل على النص الكامل
احصل على النص الكامل
masterThesis -
10
Automated Mutation-Based Test Data Generation: Genetic Algorithm Game-Like Approach
منشور في 2020احصل على النص الكامل
masterThesis -
11
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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article -
12
A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT
منشور في 2023"…This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …"
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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
منشور في 2025"…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R<sup>2</sup> = 0.05 to 0.99 in a representative thiophene set. …"
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Data Generation for Path Testing
منشور في 2004احصل على النص الكامل
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احصل على النص الكامل
article -
15
Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition
منشور في 2021"…A k-Medoid based algorithm is employed for clustering whereas the forecasting models are generated for different clusters of load profiles. …"
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16
Automating UML Models Refactoring using Search-Based Algorithms
منشور في 2020احصل على النص الكامل
masterThesis -
17
A genetic-based algorithm for fuzzy unit commitment model
منشور في 2000"…The genetic algorithm (GA) approach is then used to solve the proposed fuzzy UCP model. …"
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احصل على النص الكامل
article -
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GenDE: A CRF-Based Data Extractor
منشور في 2020"…Web site schema detection and data extraction from the Deep Web have been studied a lot. …"
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احصل على النص الكامل
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20
A Novel BIPV Reconfiguration Algorithm for Maximum Power Generation under Partial Shading
منشور في 2020"…The system is optimised for maximum yield to determine the optimal configuration and number of modules for each string using a genetic algorithm. The outcomes from the algorithm are based on clustering the solar insolation values and then applying a genetic algorithm optimisation to indicate the optimum BIPV array layout for maximum yield.…"