Category: 7. Maths

The present study evaluated and compared the capabilities of four popular MLLMs in detecting AMD and grading the severity of disease from UWF fundus images. While other deep learning algorithms have been deployed in similar contexts in this and…

This paper proposes the MDRRAD-DLM approach in real-world IoT applications. The primary purpose of the MDRRAD-DLM approach is to propose effective detection and mitigation strategies for DDoS attacks. It includes data…

We propose a lightweight adaptive image deblurring framework based on a multi-scale encoder-decoder architecture. It integrates dynamic convolution, attention mechanisms, and multi-scale feature fusion to enhance adaptivity, global context…

The proposed methodology combines KG technology with an ANN to improve the chatbot’s knowledge, classification, and response generation. The process begins with data collection from a central Korean bank, spanning a three-year period from…

In this article, the VTSAMRNN-FARS method is proposed. The primary objective of the VTSAMRNN-FARS method is to improve the fall detection and classification system for individuals with disabilities in smart IoT environments. It comprises four…

Mathematical cover and physical cover

In order to deal with discontinue problems in engineering, Shi proposed NMM. It does not introduce enriched functions such as XFEM, nor does it need element remesh such as FEM. But NMM deal with continuous and…

Indoor localization using a model composed of stacked autoencoder and classifier

To achieve more accurate localization in complex indoor environments involving multiple buildings and floors, this paper adopts a Deep Neural Network (DNN)…

This manuscript presents the HDLID-ECSOA model. This technique’s main goal is to provide intelligent EC in smart cities using advanced optimization models. It contains data pre-processing, a DOA-based FS process, hybrid classification, and a…

As stated in the introduction, the IMEE methods, which utilize enhanced two-dimensional (2D) multi-electrode arrays, have been developed through the integration and refinement of the IRS and MEE methods. Consequently, the IMEE methods inherit all…

Fixed effect generalized linear functional regression models (FRM)

Consider \(\:n\) individuals with sequenced data of a genomic region of \(\:m\) variants. We assume that the \(\:m\) variants are located in a region with ordered physical…