Category: Engineering

Sensitivity analysis of input parameters

The percentages of clay, silt, sand, and bulk density (P_b) were used as input variables for developing linear and non-linear models to predict saturated hydraulic conductivity. Table 2 summarizes the…

Macroscopic damage behavior of Cu-inductors after electromagnetic forming

The electrical-thermo-mechanical load induced by EMF after several discharges causes damage in a CuCr1Zr inductor (Fig. 2a, b) and a CuBe2 (Fig. 2c) is shown…

Investigating the architecture of Pt-NiFe-MOF catalytic materials

Crystalline structure analysis

The crystalline structure of the synthesized materials was characterized using PXRD. Figure 6 presents the resulting diffraction patterns for the…

Strain and stress analysis

The tunnel lining concrete and ‌reinforcing steel‌ experiences internal stress from temperature and shrinkage. If there is a significant strain difference between the lining concrete and ‌reinforcing steel‌, then…

In order to analyze the effectiveness of MLFA-GD, 23 benchmark numerical functions and CEC 2017 test suits are employed, along with various FA variants and several well known meta heuristic algorithms. All algorithms are implemented in Python,…

In this section, we will discuss about the methods used in the proposed work. We have trained the dataset on three Classical Machine Learning models five Neural Network model and three Quantum Machine algorithms for comparative analysis.

Classical…