Marwan Mahmoud

TL;DR: In this article, a model has been developed based on two theoretical models called the Norm Activation Model and the Theory of Planned Behaviour to identify the influencing factors on consumers' intention to use electric vehicles.

TL;DR: In this paper, the authors identify and rank the sustainability indicators for assessing green building manufacturing in Malaysia by considering Green Building Index (GBI), which is the most applied sustainability rating tool in the country.

TL;DR: Five different models based on deep neural network (DNN) are created to understand the behavior of terrorist activities and it is demonstrated that the performance in DNN is more than 95% in terms of accuracy, precision, recall, and F1-Score, while ANN and traditional machine learning algorithms have achieved a maximum of 83% accuracy.

TL;DR: In this paper, the authors utilized different machine learning techniques for software defect prediction using seven broadly used datasets, including multilayer perceptron (MLP), support vector machine (SVM), decision tree (J48), radial basis function (RBF), random forest (RF), hidden Markov model (HMM), credal decision tree(CDT), K-nearest neighbor (KNN), average one dependency estimator (A1DE), and Naive Bayes (NB).

TL;DR: This paper investigates the effectiveness of a hybrid method using clustering, Higher-Order Singular Value Decomposition (HOSVD) and Classification and Regression Trees (CART) in analysing tourists’ online reviews in TripAdvisor and demonstrates that the method outperforms the methods which solely rely on prediction machine learning techniques.