Category: 7. Maths

This study presents a novel SOADL-MCAIC method for UAV networks. The main aim of the method is to recognize the presence of multiple classes of aerial images on the UAV network. The method contains different types of processes, namely…

Overview of HEA corrosion resistance prediction frameworks

The Composition and Processing-Driven Two-Stage Corrosion Prediction Framework (CPSP Framework, Fig. 10c, details in Sec. 3.5) is proposed to predict the logarithm of corrosion current…

A MATLAB application (“ConeMapper”) was developed that integrates a fully convolutional neural network (FCN) with additional annotation, visualization and analysis functionality. ConeMapper was developed in MATLAB 2022b App Designer. The FCN…

Study area and soil sampling points

The study area is located in Zhejiang (27.4°−30.0° N, 118.4°−122.0° E), in southeastern China (Fig. 1a). It has a total area of 16,850 km² with an elevation of 58.45 m above sea level. It has a humid…

The proposed network comprises a systematic five-stage architecture for effective fire detection as illustrated in Fig. 1, following the pipeline: ResNet50 \(\rightarrow\) CSA \(\rightarrow\) CBAM \(\rightarrow\) RASA \(\rightarrow\) MCBAM

Research design

This study adopts an Ex Post Facto research design, which is appropriate for analyzing naturally occurring data without manipulating any variables. Since all data used in this study—such as game results, team performance…

Data resources

The study employed two publicly available datasets: the BirdsData dataset, released by BirdsData Technology, and the World’s Wild Bird Sounds dataset obtained from the Xeno-canto website (https://xeno-canto.org). We acquired…

Classical convolutional neural networks

Convolutional neural networks (CNNs) were proposed by Yann LeCun et al. in their pioneer article¹⁶. CNNs represent a prevalent architecture in the realm of image processing and computer vision¹⁷. This…

This study proposes a document processing methodology based on deep neural networks (DNN) to enhance document recognition and character analysis accuracy, as show in Fig. 2 The overall process consists of conversion, DNN training document type…

Fault diagnosis process

This study proposed a transformer fault diagnosis method based on Gramian Angular Field and optimized parallel ShuffleNetV2, the diagnosis process is illustrated in the Fig. 6.

Offline model training

First, the…