Pan evaporation (E p) is an efficient and practical tool for planning and managing water
resources, understanding the water balance in hydrological processes, and developing …

Accurate wind speed prediction has become increasingly important in wind power
generation. However, the lack of efficient data preprocessing techniques and integration …

The continuous increase in demand for fossil-based fuel has led to the requirement for an
alternative source that must be renewable. Biodiesel is gaining global acceptance as a …

In this study, a hybrid model integrating the ant colony optimization (ACO) algorithm and
fuzzy c-means (FCM) clustering method into the adaptive neuro-fuzzy inference system …

Electricity is undeniably one of the most crucial building blocks of high-quality life all over the
world. Like many other African countries, Nigeria is still grappling with the challenge of the …

In this research work, a comprehensive study is conducted to predict flyrock as a typical and
undesirable phenomenon occurring during the blasting operation in open-pit mining …

Plastic pollution and high cement costs for pavement brick construction are two major issues
in Ghana. This study proposes a dual solution to these problems by using plastic waste (PW) …

Artificial neural network (ANN), gray‐wolf, and moth‐flame optimization (GWO and MFO)
techniques have been used in this research work to predict the effect of activated sawdust …

Abstract The Adaptive Neuro-Fuzzy Inference System (ANFIS) is a regression model that
uses fuzzy logic and neural networks, making it suitable for modeling the uncertainty of …

Support vector machine (SVM) with its feature known as the statistical risk minimization
(SRM) has been employed in the prediction of coefficient of curvature and uniformity on …