It was 35 years ago since the first usage of Artificial Intelligence (AI) technique in
geotechnical engineering, during those years many (AI) techniques were developed based …

Artificial neural networks (ANN) provide a range of powerful new techniques for solving
problems in sensor data analysis, fault detection, process identification, and control and …

Pre-stressed precast high strength concrete (PHC) nodular piles with hyper-MEGA
construction method are favorably used in medium to high-rise building foundations. In this …

Sunflower is one of the most valuable oilseeds in the world due to its high-quality oil and
wide adaptation to climatic and soil conditions. Salinity is one of the most harmful …

This paper experimentally studies the variation of pore characteristics and mechanical
properties of sandstone at different temperatures (from 25° C to 600° C). The results show …

This study deals with development of artificial neural network (ANN) and multiple regression
(MR) models that can be employed for estimating the critical factor of safety (Fs) value of …

Accurate prediction of spatial distribution of soil organic matter (SOM) at different scales is
important for various applications related to land use and environmental problems. This …

An accurate prediction of thermal conductivity (k) of unsaturated soils is a challenging
problem in geothermal applications because k is affected by various factors such as soil …

Ajowan is a medicinal plant with useful pharmaceutical compounds in its seeds. Seed yield
improvement in ajowan through a better understanding of the relationship between seed …

In this study, a three-layer artificial neural network (ANN) model was investigated to predict
the extraction yield of essential oils from Diplotaenia cachrydifolia by supercritical fluid …