An end-to-end deep learning model, DLPGA, has been proposed for predicting peak ground acceleration (PGA) in earthquake early warning systems. The model uses a…
Browsing: Feature Extraction
The article discusses a novel Raman spectral preprocessing model, RSBPCNN, which uses a patches strategy and self-supervision strategy to improve feature learning ability and…
This article discusses a novel approach for detecting heart disease using audio signals and a combination of machine learning and deep learning models. The…
Machine learning (ML) is a branch of artificial intelligence (AI) that focuses on training computers to learn from data and make decisions or predictions.…
This article discusses the application of a Convolutional Neural Network (CNN) model in tactical analysis and evaluation of women’s football teams. The article explains…
This paper reviews existing research on brain tumor detection and discusses the importance of medical imaging modalities, particularly MRI. It proposes a method involving…
Object detection and recognition are essential tasks in computer vision, with applications in search and rescue, warehouse logistics, video surveillance, and more. In the…
This Special Issue provides an overview of the recent advancements and emerging trends in deep learning for object detection. Deep-learning-based approaches have demonstrated significant…
This Special Issue aims to provide a platform for the publication of original research articles and reviews that focus on the integration of machine…
This paper proposes a solution to improve the performance of deep CNN models in real-time applications. The proposed approach uses multi-threshold binarization to extract…