The YOLOv8 and Swin Transformer dual-module system significantly improves structural crack detection, offering a faster and ...
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
You will be redirected to our submission process. Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
This repository contains the code used to train and evaluate the deep learning model for auroral image classification as described in the paper: "High-Accuracy Aurora Image Classification with Swin ...
We dive into Transformers in Deep Learning, a revolutionary architecture that powers today's cutting-edge models like GPT and BERT. We’ll break down the core concepts behind attention mechanisms, self ...
Abstract: The rapid expansion of digital archives and scanned document collections has underscored the importance of reliable and efficient document classification techniques. Traditional methods that ...
Abstract: Psoriasis is a chronic autoimmune skin condition causing complex symptoms, often complicating accurate diagnosis. While convolutional neural networks (CNN) have potential in dermatological ...
1 School of Integrated Circuits, Guangdong University of Technology, Guangzhou, China 2 School of Computer Science, Xi'an University of Technology, Xi'an, China Introduction: The rapid advancement of ...
Accurate short-to-subseasonal streamflow forecasts are becoming crucial for effective water management in an increasingly variable climate. However, streamflow forecast remains challenging over ...
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