Category: 7. Maths

Data Preparation

The dataset employed in this study was obtained from a published work by Jiang et al.³⁶. This publicly available dataset contains detailed information on the degradation rate constants of 446 organic contaminants under various…

The proposed approach is presented in Fig. 1. The new architecture was developed on the basis of the SD2DS store. This step includes preparing the formal analysis of the store, identification of the inconsistencies, and providing algorithms to…

The Korteweg-de Vries (KdV) equation, originally introduced in 1895 by Korteweg and de Vries, has emerged as one of the most significant mathematical models employed to characterize wave phenomena across diverse disciplines, especially in the…

Algorithm verification

For evaluating the optimization performed by the NRBO algorithm, the authors chose four classical complex nonlinear benchmark functions as test cases for the iterative analysis. The results were compared and analyzed…

Study design and data collection

This study employed a cross-sectional descriptive design using a convenience sampling method. Microscopic images were collected using a CX41 biological microscope (Olympus, Tokyo, Japan) from 1,582 vaginal…

Feature importance

Correlation analysis

Compared to traditional mechanistic models, machine learning models are data-driven “black-box” or “gray-box” models, unable to provide explicit explanations for the underlying mechanisms behind…

We will begin by introducing the fundamental principles of SSL in section A. Following that, we outline the training framework utilized in section B. In section C, we introduce a novel method for performing logit normalization on the…

Overview of methods

We provide an overview of LOO-map and demonstrate the proposed two diagnostic scores (Fig. 1).

To balance computational overhead and model performance, thereby achieving improved overall performance and higher detection accuracy in low-altitude remote sensing image processing tasks, this paper introduces the GOOD-Net algorithm. The…

Poisson-modification of the quasi-Lindley regression model

Tharshan and Wijekoon²⁶ introduced the PMQL distribution by assuming that the parameter of the Poisson distribution follows a modified quasi-Lindley distribution. The probability mass…