GitHub

Hy 2 DL: Hydrological modeling using Deep Learning methods

Hy 2 DL is a python library to create hydrological models for rainfall-runoff prediction using deep learning methods. The repository includes implementations with Large-Sample Hydrology datasets such ...
IEEE

Adaptive Subtraction Based on Expanded Multichannel U-Net With Multipattern Multiple Model for Surface-Related Multiple Removal

Abstract: Adaptively subtracting multiple models from the initial data is an essential assignment for the successful elimination of seismic surface-related multiples. The conventional expanded ...
Journal of Medical Internet Research

Integrating a Large Language Model to Streamline Nursing Handover Documentation Across Multiple Hospitals in Taiwan: Development and Implementation Study

Advances in large language models (LLMs) and other generative artificial intelligence (GenAI) tools facilitate the generation of accurate reports from electronic medical records (EMRs), thereby ...
IEEE

MetaSel: A Test Selection Approach for Fine-Tuned DNN Models

Abstract: Deep Neural Networks (DNNs) face challenges during deployment due to covariate shift, i.e., data distribution shifts between development and deployment contexts. Fine-tuning adapts ...