بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data algorithms » jaya algorithm (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data algorithms » jaya algorithm (توسيع البحث)
element » elements (توسيع البحث)
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Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018)
منشور في 2018"…Companies, nowadays, rely on systems and applications to automate their business processes and data management. In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. …"
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masterThesis -
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85
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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86
A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption
منشور في 2019"…Design/methodology/approach In the proposed approach, the parameter tuning process is performed on all parameters of genetic algorithm (GA), and the finest coefficients with minimum errors are identified. …"
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article -
87
Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands
منشور في 2020"…Moreover, different types of renewable energy sources including wind turbine, solar panel and fuel cell are modeled and considered in the scheduling process of the hybrid microgrid. …"
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article -
88
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
منشور في 2019"…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …"
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89
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90
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91
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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An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting
منشور في 2021الموضوعات: -
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97
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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98
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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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100
Sentiment analysis for Arabizi in social media. (c2015)
منشور في 2015"…Yalla 7abibi, it is very useful to have a data mining tool that can analyze the sentiment of Twitter users in the Arab world. …"
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masterThesis