This study investigates the impacts of temperature, light-dark cycles (LD), and nitrogen-
phosphorus ratios (NP) on Chlorella vulgaris microalgae biomass productivity (BP) and CO …

This study presents the development of new empirical prediction models to evaluate swell
pressure and unconfined compression strength of expansive soils (P s UCS-ES) using three …

Foamed concrete is special not only in terms of its unique properties, but also in terms of its
challenging compositional mixture design, which necessitates multiple experimental trials …

This study used three artificial intelligence-based algorithms–adaptive neuro-fuzzy inference
system (ANFIS), artificial neural networks (ANNs), and gene expression programming (GEP) …

This research intended to increase the understanding of using modern machine intelligence
techniques, including multi-expression programming (MEP) and gene expression …

Nanofluids are now considered the most essential constituent of solar thermal collector due
to their superior thermal performance over conventional fluids. An accurate determination of …

In this study, the specific heat capacity of Alumina (Al 2 O 3)/water nanofluid has been
accurately evaluated using genetic algorithm/support vector regression (GA/SVR) model at …

This research study utilizes four machine learning techniques, ie, Multi Expression
programming (MEP), Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference …

Nowadays, strengthening of reinforced concrete structures with a new class of sustainable
materials is the possible solution to retrofit the aged deteriorated structures. It is difficult to …

Lane changes made during traffic oscillations on freeways largely affect traffic safety and
could increase collision potentials. Predicting the impacts of lane change can help to …