Category: 7. Maths

This section introduces the proposed EHPSO algorithm. First, we will present the motivation behind EHPSO, followed by a detailed description of its implementation.

Motivation

As discussed in the Introduction section, meta-heuristic-based algorithms…

Construction of panchromatic and multi-spectral image fusion model ground on IGANS-NSFD-SFD

In remote sensing map geographic information extraction technology, image fusion technology is a key processing method. It can enhance the spectral and…

The synchronization process generally involves several steps, including data acquisition, DC reduction, envelope extraction, and parameters calculation. The parameters include average frequency (f_average), frequency per sample (f_s), the initial…

SimCLR-GRU is introduced as a lightweight and adaptive deep-learning framework designed to address key challenges in modern malware detection. It specifically targets the limitations of existing methods, such as their inability to adapt to…

Experimental settings

To evaluate the effectiveness and robustness of our method, we used three remote sensing image captioning datasets: UCM-Captions, RSICD, and NWPU-Captions. We excluded Sydney-Captions (613 images with limited diversity) and…

In the paper, we present a swarm evolution algorithm to solve the BWC problem of graphs. The swarm evolution algorithm is summarized in Swarm_BWC (Algorithm 1). The flowchart of the algorithm is shown in (Fig. 1).

In this section, the simulation results for two examples of DDEMs in the multivariate setting with single and multiple delays are discussed and presented, respectively, based on the proposed developed methodology in Sect. “Proposed…