Category: Engineering

Gaussian process regression (GPR)

GPR is a probabilistic regression model that employs a collection of random variables to define a Gaussian process. The GPR model represents the target variable as a function of input variables and aims to…

In this section, the DPC-DSC technique is implemented using simulations using MATLAB 2014. The competence and effectiveness of the DPC-DSC technique are compared with those of the DPC-SC. The DPC-DSC technique is also compared with related work…

Exoskeletons have garnered significant attention in recent years due to their broad applications in rehabilitation, industrial, and military domains^1,2,3,4. In industrial applications⁵, exoskeleton devices are designed to reduce workers’…

The controlled object is taken to be a certain hydro generator unit operating in parallel with the infinity system. The parameters are shown in table 2.

In the presented dynamic IFT method, the algorithm is developed such that the path between the initial and thermodynamic equilibrium conditions are considered, and the component exchange between the two phases is investigated until the…

This section outlines the proposed technical implementation of the Fleet System Network, highlighting interactions within the IoV environment. Interconnected systems interact in this ecosystem to improve operations and facilitate functionality….

We selected RNNs for their well-established effectiveness in modeling sequential and temporal data, which is a key characteristic of our dataset. These models are particularly suited for capturing dependencies over time, making them a natural…

Drained heating tests

The thermal volumetric response of selected samples under slow drained heating is examined in Fig. 3(a) and Fig. 3(b), which depict volumetric strain versus temperature increment for LP samples and HP samples, respectively….

System model descriptions

In the present work, the IoBNT model described in²¹ is modified and further developed, as illustrated in Fig. 1. The scenario involves a TDDS where the drug DOX is administered to specific cells in the body. The…

Linear regression model results (LR)

The LR model was applied to examine the linear relationship between input parameters and IFT. In Fig. 4a, a cross plot compares predicted IFT values from the LR model against the actual IFT values for both the…