Perhaps one of the most common and comprehensive statistical and machine learning
algorithms are linear regression. Linear regression is used to find a linear relationship …

Higher heating value, also known as the coal calorific value, is an important indicator of coal
quality. Nevertheless, traditional experimental determination of higher heating value is …

The aim of this study is to estimate the joint moments of the ankle, knee, and hip joints during
walking. A sit-to-stand (STS) movement analysis was first performed on 20 participants with …

This paper presents an iterative training of neural networks for intra prediction in a block-
based image and video codec. First, the neural networks are trained on blocks arising from …

One of the biggest issues impeding a country's progress is the lack of power. To overcome
this issue, hybrid renewable energy systems (HRES) play an important role. Due to rising …

This paper proposes an accurate harmonic identification strategy for microgrids and
distributed power systems. The harmonic identification strategy is one of the complex tasks …

Purpose: The purpose of this research is to determine the smallest error value so that the
resulting prediction data is more accurate. This prediction data is used to help Raja Fashion …

Monitoring temperature parameters in Permanent Magnet Surface Machine (PMSM) is
crucial since the machine possesses applications in several diverse areas, for instance …

Finding an arrangement, leading to a higher heat transfer and lower pressure drop, is crucial
in the design of heat exchangers. Previous studies have primarily focused on regular …

In road construction, the compaction of the subgrade layer, which is one of the earthwork
fields, is an essential procedure to support the pavement layer and traffic load. For the …