Abstract: Flood mapping using remote sensing data is critical to disaster response, especially in real-time monitoring and edge deployment. However, existing deep-learning (DL) models often face ...

Abstract: The recent advancements in Machine Learning (ML) and Deep Learning (DL) provide a new dimension in biomedical big data analysis, while the cloud computing technologies present the ...

Nothing dominates the technology news cycle more than AI in its many forms, and for data professionals, the discussion often mentions deep learning. But what are the use cases for this technology? How ...

Who knew there were so many categories of cleaning? There's deep cleans, spring cleans, maintenance cleans, garage/attic/basement clean outs — the list really does go on and on. However, two of the ...

After training YOLOv8 in MATLAB and obtaining yolov8Det, I want to know if there is code or a method to extract the data of automatically generated images such as the ROC curve and confusion matrix ...

Background: Diabetic retinopathy (DR) screening faces critical challenges in early detection due to its asymptomatic onset and the limitations of conventional prediction models. While existing studies ...

Introduction: Recent advances in artificial intelligence have transformed the way we analyze complex environmental data. However, high-dimensionality, spatiotemporal variability, and heterogeneous ...

A few years back, one of us sat in a school district meeting where administrators and educators talked about the latest student achievement results. The news was not good. Students’ test scores hadn’t ...

This a project of Stock Market Analysis And Forecasting Using Deep Learning(pytorch,gru). A stock market, equity market, or share market is the aggregation of buyers and sellers of stocks (also called ...