Category: 7. Maths

This paper presents an IPRMEFP-HOFTL technique in smart agricultural solutions. The IPRMEFP-HOFTL technique aims to provide effective automatic detection of plant diseases, which will help monitor vast fields of crops on plant leaves. To achieve…

The theorem employs fixed-point theorem and FDEs based on Caputo derivatives to verify that the model’s solutions are well-defined and mathematically valid under certain conditions.

In order to prove this, we rephrase model Eq. 4 as follows in a…

Lung cancer, which is considered one of the most fatal types of cancer, has contributed to the development of new diagnostic tools. Advanced imaging analysis through ML and DL technology, including hybrid models and gene expression-based…

Adaptive Personalized Federated (APFed) is presented in this section, starting with an overview of its architecture before describing its algorithm, data preprocessing techniques, and the Lightweight Depthwise Convolutional Bottleneck Network…

To evaluate the performance of the proposed ISMC-FLC- MEHO controller, numerical simulations were conducted using MATLAB R2022b. The test scenarios involved guiding the TOMR along a predefined triangular trajectory and a C-shape trajectory with a…

Improving prediction accuracy in detecting drug-target interactions is the objective of the investigation. The Kaggle data with 11,000 drug data points was used in the research. Techniques, including text normalization, were used during…

7-degree-of-freedom (7-DOF) vehicle model

In this study, a nonlinear 7-degree-of-freedom vehicle dynamics model is developed, encompassing the longitudinal and lateral motion of the vehicle body, yaw rotation, and the rotational dynamics of all…

The process of aggregation

Aggregation Idea

In multi-attribute group decision-making, each expert’s evaluation of alternatives across multiple attributes can be represented as a multi-dimensional vector. In this study, PFZN representation is…

This section introduces the proposed prototype-driven contrastive graph clustering network, as shown in Fig. 1. The network consists of two primary components: the Multi-Scale Attribute Feature Aggregation Graph Contrastive Module (MSAFA) and the…

Study design

The aim of this pilot study is to evaluate the fidelity and clinical relevance of radiology reports generated by a LLM. Study design consists of a structured comparison between human-authored reports and reports generated by ChatGPT…