A Machine Learning Model for the Identification of the Holy Quran Reciter Utilizing K-Nearest Neighbor and Artificial Neural Networks

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Publisher

Natural Sciences Publishing

Subject

Applied Mathematics,Library and Information Sciences,Computer Science Applications

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Framework of Pinning Control for Nonperiodical Stable Behaviors of Large-Scale Asynchronous Boolean Networks;IEEE Transactions on Automatic Control;2024-09

2. Quran reciter identification using NASNetLarge;Neural Computing and Applications;2024-02-05

3. Predictive Model Analytics Using Data Mining and Machine Learning: A Case Study on Forecasting GCC Power Demand;Studies in Systems, Decision and Control;2024

4. An Intelligent Framework Based on Deep Learning for Online Quran Learning during Pandemic;Applied Computational Intelligence and Soft Computing;2023-12-22

5. The effect of Data Augmentation Using SMOTE: Diabetes Prediction by Machine Learning Techniques;2023 6th Artificial Intelligence and Cloud Computing Conference (AICCC);2023-12-16

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