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 ...

Pipeline monitoring frequently encounters missing data, leading to incomplete evaluation and hindering a comprehensive assessment of the pipeline’s structural health. To address this issue, this study ...

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

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 ...

Abstract: This study explores the application of deep learning models combined with SHAP (SHapley Additive exPlanations) for breast cancer classification using gene expression data. Our model ...

DNB Markets has raised its recommendations for two dry bulk shipowners. Equity research analyst Jorgen Lian upgraded Safe Bulkers to “buy” from “hold” and 2020 Bulkers to “hold” from “sell”. “We find ...

This review focuses on the recent advancements in neuroimaging enabled by deep learning techniques, specifically highlighting their applications in brain disorder detection and diagnosis. The ...