بدائل البحث:
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
involves » involved (توسيع البحث)
element » elements (توسيع البحث)
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
involves » involved (توسيع البحث)
element » elements (توسيع البحث)
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DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data
منشور في 2022"…In this work, we present DG-means, which is a greedy algorithm that performs on distributed sets of data. …"
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masterThesis -
22
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An ant colony optimization algorithm to improve software quality prediction models
منشور في 2011"…For this purpose, software quality prediction models have been extensively used. However, building accurate prediction models is hard due to the lack of data in the domain of software engineering. …"
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24
A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models
منشور في 2010"…In this paper, we present a genetic algorithm that adapts such models to new data. We give empirical evidence illustrating that our approach out-beats the machine learning algorithm C4.5 and random guess.…"
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article -
25
Optimal scheduling algorithm for residential building distributed energy source systems using Levy flight and chaos-assisted artificial rabbits optimizer
منشور في 2023"…The optimal planning of various energy resources is scheduled by a new optimization algorithm called Levy Flight and Chaos-assisted Artificial Rabbits Optimization (LFCARO), resulting in the lowest operational cost of this combined power system. …"
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article -
26
Correlation Clustering with Overlaps
منشور في 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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masterThesis -
27
A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai
منشور في 2024"…My research aims to develop a data-driven decision support framework for fleet management, focusing on leveraging advanced algorithms, including decision trees and random forests, to generate domain-specific AI models. …"
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An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting
منشور في 2021الموضوعات: -
32
The automation of the development of classification models and improvement of model quality using feature engineering techniques
منشور في 2023"…In this article, we propose a framework that combines feature engineering techniques such as data imputation, transformation, and class balancing to compare the performance of different prediction models and select the best final model based on predefined parameters. …"
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33
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 2024"…<p>Feature selection (FS) is a crucial technique in machine learning and data mining, serving a variety of purposes such as simplifying model construction, facilitating knowledge discovery, improving computational efficiency, and reducing memory consumption. …"
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Optimal scheduling algorithm for residential building distributed energy source systems using Levy flight and chaos-assisted artificial rabbits optimizer
منشور في 2023"…The optimal planning of various energy resources is scheduled by a new optimization algorithm called Levy Flight and Chaos-assisted Artificial Rabbits Optimization (LFCARO), resulting in the lowest operational cost of this combined power system. …"
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Activity-level space scheduling
منشور في 1992"…Activity-level space scheduling involves allocating site space over time to static and dynamic construction resources such as robots. …"
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conferenceObject -
40
Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory
منشور في 2025الموضوعات: