Mohammed Al-Sarem

TL;DR: An improved method for Arabic text classification that employs the Chi-square feature selection (referred to, hereafter, as ImpCHI) to enhance the classification performance and outperforms other combinations in terms of precision, recall and f-measures.

TL;DR: In this paper, a distributed convolutional-neural-networks (DCNN) based approach for big remote sensing image classification is proposed, which is the first study of its kind, which proposes a novel distributed deep learning-based approach for the classification of big Remote Sensing images.

TL;DR: A systematic literature review for rumor detection using deep neural network approaches and presents the challenges and issues that are faced by the researchers in this area and suggests promising future research directions.

TL;DR: The proposed model is based on a Long Short-Term Memory (LSTM) and Concatenated Parallel Convolutional Neural Networks (PCNN) and showed a superior performance compared to other methods in terms of accuracy, recall, precision, and F-score.

TL;DR: The findings suggest that the wearable smart T-shirt based on the DT classifier may be used in big data applications and health monitoring, and may help assess cardiovascular and related risk factors in the initial stage based on machine learning techniques.