بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
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Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators
منشور في 2021"…Datasets with such characteristics pose a challenge to machine learning algorithms. This is because they impede the training and testing process and entail high resource computations that deteriorate the classification performance. …"
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44
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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45
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Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering
منشور في 2024"…The method does not need to know the number of clusters before hand, as it dynamically determines it during the process. Finally, this study proposed a novel multi-view learning framework that analyzes multi-source data and generates fine clusters efficiently.…"
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47
A decentralized load balancing strategy for parallel search-three optimization. (c2010)
منشور في 2010الموضوعات: "…Trees (Graph theory) -- Data processing…"
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masterThesis -
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51
Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
منشور في 2023"…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …"
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52
Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms
منشور في 2022"…This study aims to develop five robust machine learning (ML) algorithms and their fusions for a wide range of flow patterns (FP) regimes. …"
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A parallel search tree algorithm for vertex cover on graphical processing units. (c2013)
منشور في 2013الموضوعات: "…Trees (Graph theory) -- Data processing…"
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masterThesis -
55
Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
منشور في 2021"…Connecting the ubiquitous sensing and big data processing of critical information in infrastructures through the IoT paradigm is the future of SHM systems. …"
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56
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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"…The accuracy of these algorithms was assessed with standard statistical measures and ground truth data randomly collected in Prince Edward Island, Canada. …"
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58
KNNOR: An oversampling technique for imbalanced datasets
منشور في 2021"…<p>Predictive performance of Machine Learning (ML) models rely on the quality of data used for training the models. …"
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59
A Graph Heuristic Approach for the Data Path Allocation Problem
منشور في 2022الموضوعات: "…Electronic circuits -- Data processing…"
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احصل على النص الكامل
masterThesis -
60
Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques
منشور في 2020"…In this research, different machine-learning algorithms such as logistic regression, random forest and naïve Bayes were tuned and tested. …"