models

Name: models
Creator: Zewei Xu
Published: 2020-06-30T00:00:00+08:00

Figshare2020-06-30 更新2026-04-08 收录

水文流线检测

深度学习模型

数据链接：

https://figshare.com/articles/models/12587318/1 数据链接链接失效反馈

官方服务：

资源简介：

This .zip includes deep learning models trained for hydrological streamline detection.

提供机构：

Zewei Xu

创建时间：

2020-06-30

A deep learning model based on the BERT pre-trained model to predict the antiproliferative activity of anti-cancer chemical compounds

抗癌药物研发

深度学习模型

Identifying new compounds with minimal side effects to enhance patients’ quality of life is the ultimate goal of drug discovery. Due to the expensive and time-consuming nature of experimental investig

DataCite Commons2025-01-16 更新40

result

水文流线检测

深度学习

This .zip file includes the prediction results of hydrological streamline detection using the U-net and attention U-net models.

DataCite Commons2020-08-25 更新30

Dataset for Transfer Learning with Convolutional Neural Networks for Hydrological Streamline Delineation study

水文流线检测

迁移学习应用

Training, validation, and testing data of LiDAR-derived feature maps for hydrological streamline detection of Rowan County and Covington watersheds acquired from USGS

NIAID Data Ecosystem20

MOESM2 of ReorientExpress: reference-free orientation of nanopore cDNA reads with deep learning

纳米孔测序

深度学习模型

Additional file 2. Motif file for the 32 filters from the CNN model.

NIAID Data Ecosystem40

Network structure and hyper-parameters for inception-like CNN Model.

深度学习模型

卷积神经网络优化

Network structure and hyper-parameters for inception-like CNN Model.

NIAID Data Ecosystem30