Category: 7. Maths

In this section, we first present a background on underwater backscattering and discuss the details and advantages of AMS-assisted backscattering. Consider an underwater acoustic backscatter communication network that consists of a backscatter…

This study represents a novel approach to global and local single-structure analysis. It fuses the DDPM⁸ model with the 3D U-Net¹⁰ architecture to propose a customized 3D diffusion model specifically for voxelized local cubes. This model is…

Dataset description

The experiment utilized the public bearing data set of Paderborn University (PU) dataset in Germany, as depicted in Fig. 5.

The experimental setup comprised a test motor, a…

This section first introduces the main architecture of TCAINet. Additionally, the design details of key components, including the Channel Attention (CA) mechanism, Cross-Modal Feature Fusion (CAF) module, and Adaptive Attention Decoder (AAD)…

This section reviews the basic definitions and properties of the hesitant bi-fuzzy set (HBFS), hesitant bi-fuzzy element (HBFE), Expert reliability, and Power aggregation operator.

Hesitant bi-fuzzy set (HBFS) and hesitant bi-fuzzy number (HBFN)

In…

The rapid advancement in data acquisition technologies and the exponential growth in data volume have made it increasingly inadequate to rely solely on supervised datasets to gain insights into environmental phenomena or understand the human…

In this section, we present the development of our method. We begin with the general form of an ANN model, and then we proceed to formulate the specific problem of this study, highlighting the challenges and requirements. Finally, we detail our…

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…