Scarcity in fossil fuel reserves and their environmental impacts has forced the world towards
the production of clean and environment-friendly fuels called biofuels. This review focuses …

The major criteria that control pile foundation design is pile bearing capacity (Pu). The load
bearing capacity of piles is affected by the various characteristics of soils and the …

A comparison between deep learning and standalone models in predicting the compaction
parameters of soil is presented in this research. One hundred and ninety and fifty-three soil …

In this paper, for the first time, a feature selection procedure is modeled as a multi-criteria
decision making (MCDM) process. This method is applied to a multi-label data and we have …

For the first time, the ensemble feature selection is modeled as a Multi-Criteria Decision-
Making (MCDM) process in this paper. For this purpose, we used the VIKOR method as a …

The pile bearing capacity is considered as the most essential factor in designing deep
foundations. Direct determination of this parameter in site is costly and difficult. Hence, this …

In the design of reliable structures, the soil classification process is the first step, which
involves costly and time-consuming work including laboratory tests. Machine learning (ML) …

Basalt fibers are a type of reinforcing fiber that can be added to concrete to improve its
strength, durability, resistance to cracking, and overall performance. The addition of basalt …

This research focuses on presenting new models based on classifiers that can be applied to
various problems. Adaboost is a type of ensemble learning machine that uses classifiers that …

Predicting duration and cost of tunnelling projects is an essential factor in determining the
usefulness of a decision-making system. Therefore, research on the duration and cost of …