A hybrid machine learning model for classifying gene mutations in cancer using LSTM, BiLSTM, CNN, GRU, and GloVe von Aburass, Sanad, Dorgham, Osama, Shaqsi, Jamil Al

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Advanced machine learning based exploration for predicting pandemic fatality: Oman dataset von Al Shaqsi, Jamil, Drogham, Osama, Aburass, Sanad

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A machine learning approach to predict the parameters of COVID‐19 severity to improve the diagnosis protocol in Oman von Al Shaqsi, Jamil, Borghan, Mohamed, Drogham, Osama, Al Whahaibi, Salim

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What drives the adoption of mobile learning services among college students: An application of SEM-neural network modeling von Tarhini, Ali, AlHinai, Mariam, Al-Busaidi, Adil S., Govindaluri, Srikrishna Madhumohan, Shaqsi, Jamil Al

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Using machine learning to predict factors affecting academic performance: the case of college students on academic probation von Al-Alawi, Lamees, Al Shaqsi, Jamil, Tarhini, Ali, Al-Busaidi, Adil S.

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Estimating the predominant number of clusters in a dataset von Al Shaqsi, Jamil, Wang, Wenjia

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A Hybrid Machine Learning Model for Classifying Gene Mutations in Cancer using LSTM, BiLSTM, CNN, GRU, and GloVe von Aburass, Sanad, Dorgham, Osama, Shaqsi, Jamil Al

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A Hybrid Machine Learning Model for Classifying Gene Mutations in Cancer using LSTM, BiLSTM, CNN, GRU, and GloVe von Aburass, Sanad, Dorgham, Osama, Jamil Al Shaqsi

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A clustering ensemble method for clustering mixed data von Al-Shaqsi, Jamil, Wenjia Wang

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A Hybrid Method for Estimating the Predominant Number of Clusters in a Data Set von Alshaqsi, J., Wenjia Wang

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