Dataset description
Two publicly available colon polyp segmentation datasets were utilized. Kvasir-SEG40 and CVC-ClinicDB41.
Kvasir-SEG: This is is an endoscopic dataset designed for pixel-level segmentation of colon polyps. It comprises 1,000…

Two publicly available colon polyp segmentation datasets were utilized. Kvasir-SEG40 and CVC-ClinicDB41.
Kvasir-SEG: This is is an endoscopic dataset designed for pixel-level segmentation of colon polyps. It comprises 1,000…

This manuscript develops a novel CSSDN-HDLBNO method. The main intention of this method is to provide scalable and effective solutions to safeguard against evolving cyber threats in DDoS threats within the SDN environment. The developed…

The validation of our data comprises two parts. First, in Section Realism of Synthetic Experts and Applicability in L2D, we compare the decision-making properties of the generated experts with previous literature on human decision-making in…

The beneficial theme of this study is to expose the novel methodologies of BCFPMSM, BCFWPMSM, BCFPDMSM, and BCFWPDMSM operators. The terms \({\hbox{O}}_{\mathcalligra{r}}=\left({\Psi }_{{\hbox{O}}_{\mathcalligra{r}}}^{+}, {\Psi…

This work systematically tackles the shortcomings of earlier research with its proposed architecture for Android malware detection. The process begins with a CSV file dataset, followed by distribution analysis, exploratory data analysis, one-hot…

Allen, B. The promise of explainable AI in digital health for precision medicine: a systematic review. J. Personalized Med. 14, 277 (2024).
Google Scholar
Battaglini, M. & Rasmussen, S….

In this section, we discuss the detailed methodologies used in the proposed hash algorithm, which is based on the combination of the CA and Sponge Functions. We divide the methodology into subsections, each covering a crucial aspect of algorithm…

This section introduces new aggregation operators called IVBPFSWAA aggregation operators. Moreover, we elaborate on some basic characteristics of these AOs.

With the rapid progress of AI technology, GAN has been widely applied in many fields such as image generation, style transfer, and image enhancement. Compared with traditional deep learning methods, GAN can…

In this section, a detailed explanation of the research work, along with its mathematical expressions, is provided. Figure 1 illustrates the workflow of the study.
Workflow of the proposed approach.
Our study’s dataset…