Global solar radiation information is the basis for many solar energy utilizations as well as
for economic and environmental considerations. However, because solar-radiation …

Solar radiation components assessment is a highly required parameter for solar energy
applications. Due to the non-stationary behavior of solar radiation parameters and variety of …

Featured Application Behavior prediction of channel shear connectors in normal and high-
strength concrete (HSC) without conducting costly experiments. Abstract Channel shear …

Accurate estimation of global solar radiation (R s) is essential to the design and assessment
of solar energy utilization systems. Existing empirical and machine learning models for …

The aim of this research is to develop new intelligent prediction models for estimating the
tunnel boring machine performance (TBM) by means of the rate pf penetration (PR). To …

This paper introduces the Backtracking Search Optimization Algorithm (BSA), a new
evolutionary algorithm (EA) for solving real-valued numerical optimization problems. EAs …

In this paper, the accuracy of a hybrid machine learning technique for solar radiation
prediction based on some meteorological data is examined. For this aim, a novel method …

Solar radiation data is critical to the design and operation of solar energy utilization systems,
so a large number of models have been proposed and developed to estimate solar radiation …

Reliable knowledge of solar radiation is an essential requirement for designing and
planning solar energy systems. Thus, this paper presents a novel hybrid model for predicting …

Soil shear strength parameters play a remarkable role in designing geotechnical structures
such as retaining wall and dam. This study puts an effort to propose two accurate and …