Category: 7. Maths

This section presents a detailed description of the mathematical model of the quarter car active suspension system, the controller structures, and the parameter optimization process used in this study. The system was modeled using the…

This paper presents an ATANNF-IDRCC model. This paper aims to develop an accurate and automated model for detecting and ranking RCC using kidney histopathology images. To achieve this, the ATANNF-IDRCC model comprises three distinct stages: image…

As shown in Fig. 2, the proposed Dual Chain Dynamic Hypergraph Convolution Network (DCD-HCN) firstly embeds the 2D coordinates of skeleton joints into a high-dimensional space using node embedding layers, and then stacks multiple SPblocks to…

Simulation setup and experiment scheme

The effectiveness of each experiment has been assessed using varying numbers of nodes, including 100, 125, 150, 175, and 200. NS-2 simulation is used, and the code is written in C +  + . For safe and…

PMSM-CSC method based on MPCC algorithm

With the development of technology, the requirements for the performance and control accuracy of PMSM are constantly increasing. The selection and implementation of PMSM current control mode directly…

The system of stochastic delay differential equations (SDDEs) is a mathematical model that describes the evolution of a set of variables over time, where the equations involve both deterministic time delays and stochastic (random) components….

Data acquisition and collection

The DAS system architecture is shown in Fig. 5. First, the narrow-linewidth laser outputs continuous light. The continuous light is transformed into optical pulses by the AOM modulator, amplified by the EDFA, and…

To achieve high-speed extraction of image features in the RAVS system, this study designs a high-speed extraction method based on the BFS-Canny-IED algorithm for the image feature extraction part, and constructs the RAVS system.

Theoretical…

In this section, a series of foundational aggregation operators for 2-dimension linguistic Pythagorean fuzzy variables are introduced. The operators chosen-namely the weighted averaging and weighted geometric operators-are fundamental to fuzzy…

Standard transfer learning leverages knowledge from a source domain with abundant data to improve learning in a low-data target domain. As discussed above, performance in the target domain can be compromised if the two data domains are not…