Concrete is one of the most widely used materials in various civil engineering applications.
Its global production rate is increasing to meet demand. Mechanical properties of concrete …

Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …

The current study aimed at evaluating the capabilities of seven advanced machine learning
techniques (MLTs), including, Support Vector Machine (SVM), Random Forest (RF) …

In urban environments, decentralized energy systems from renewable photovoltaic
resources, clean and available, are gradually replacing conventional energy systems as an …

Importance of target-oriented validation strategies for spatio-temporal prediction models is
illustrated using two case studies:(1) modelling of air temperature (T air) in Antarctica, and …

Gully erosion is one of the most effective drivers of sediment removal and runoff from
highland areas to valley floors and stable channels, where continued off-site effects of water …

Big data has now become a strong focus of global interest that is increasingly attracting the
attention of academia, industry, government and other organizations. Big data can be …

Flood is one of the most devastating natural disasters that occur frequently in Terengganu,
Malaysia. Recently, ensemble based techniques are getting extremely popular in flood …

Gully erosion is identified as an important sediment source in a range of environments and
plays a conclusive role in redistribution of eroded soils on a slope. Hence, addressing …

Abstract Machine learning algorithms (MLAs) are a powerful group of data-driven inference
tools that offer an automated means of recognizing patterns in high-dimensional data …