بدائل البحث:
boosting algorithm » cosine algorithm (توسيع البحث)
model algorithm » mould algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
boosting algorithm » cosine algorithm (توسيع البحث)
model algorithm » mould algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
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Boosting the visibility of services in microservice architecture
منشور في 2023"…Our research also analyzed the boosting algorithms, namely Gradient Boost, XGBoost, LightGBM, and CatBoost to improve the overall performance. …"
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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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Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models
منشور في 2023احصل على النص الكامل
doctoralThesis -
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Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
منشور في 2016احصل على النص الكامل
doctoralThesis -
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A New Parallel Genetic Algorithm Model
منشور في 2020"…This paper presents an implementation of three Genetic Algorithm models for solving a reliability optimization problem for a redundancy system with several failure modes, a modification on a parallel a genetic algorithm model and a new parallel genetic algorithm model. …"
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Socially Motivated Approach to Simulate Negotiation Process
منشور في 2014احصل على النص الكامل
doctoralThesis -
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Machine Learning Model for a Sustainable Drilling Process
منشور في 2023احصل على النص الكامل
doctoralThesis -
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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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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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Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain
منشور في 2021"…An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …"
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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. The approach is validated on stability of classes in object-oriented software systems and can easily be used for any other software quality characteristic. …"
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احصل على النص الكامل
احصل على النص الكامل
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Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms
منشور في 2001"…Model predictive control or MPC can provide robust control for processes with variable gain and dynamics, multivariable interaction, measured loads and unmeasured disturbances. …"
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احصل على النص الكامل
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An Extension Of Rahim And Banerjee'S Model For A Process With Upper And Lower Specification Limits
منشور في 2020"…In this paper, we consider the model of Rahim and Banerjee (1988) for a process with random linear drift. …"
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A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text
منشور في 2019"…The previously published research on Arabic ontology learning from text falls into three categories: developing manually hand-crafted rules, using ordinary supervised/unsupervised machine learning algorithms, or a hybrid of these two approaches. The model proposed in this work contributes to Arabic ontology learning in two ways. …"
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احصل على النص الكامل