Ali Najah Ahmed

TL;DR: In this paper , the authors explored a new version of machine learning classifiers for sediment load classification at Johor River, Malaysia, using Extreme gradient boosting, random forest, support vector machine, multi-layer perceptron and k-nearest neighbors classifiers.

TL;DR: In this article, the authors used Inverse Distance Weighting (IDW), Ordinary Kriging (OK), Geographical Weighted Regression (GWR) and Multi-scale Geographical weighted regression (MGWR) methods for the spatiotemporal analysis of rainfall pattern changes of Peninsular Malaysia due to climate change.

TL;DR: In this article , the influence of adding expanded clays (Leca) and crushed recycled bricks clay lightweight aggregates (RBA) on the fly ash and glass powder-based geopolymer concrete were investigated at ambient and high temperatures.

TL;DR: The charged system search (CSS) algorithm model is developed in the present study to achieve optimum operating policy for the current reservoir and gives the steady-state probabilities of reservoir storage as output.