Nowadays, most of real world problems are complex and hence they cannot be solved by
exact methods. So generally, we have to utilize approximate methods such as …

The market volatility in the oil and gas (O&G) sector, the dwindling demand for oil due to the
impact of COVID-19, and the push for alternative greener energy are driving the need for …

To address the growing global concern regarding increased wildfire occurrences and their
widespread socio-ecological impacts, cost-effective and practical approaches must be …

In order to improve the tracking accuracy of a hydraulic system, an improved ant colony
optimization algorithm (IACO) is proposed to optimize the values of proportional–integral …

The interest in understanding nanofluid density's impact on heat transfer and fluid flow
behaviors has driven the need for accurate density values. Artificial intelligence techniques …

Moldy maize can produce a lot of toxins, which is harmful to human and livestock. Therefore,
early detection of maize mildew is of great significance. In this study, the hyperspectral …

The intermittency and uncertainty of wind power may pose danger on the safety on the
power system, thus the research of wind speed and wind power prediction methods has …

Purpose This study aims to propose a new airport gate assignment method to effectively
improve the comprehensive operation capacity and efficiency of hub airport. Gate …

Due to notable technological convergence that brought about exponential growth in
computer world, Soft Computing (SC) has played a vital role with automation capability …

This paper presents a new and improved method that ant colony optimization (ACO)
algorithm is combined with the support vector regression for band selection. The method is …