Subject
Creator
- Pin-ching Li 2
- Sayan Dey, 0000-0002-5327-8431 2
- Venkatesh Mohan Merwade, 0000-0001-5518-2890 2
- Li-Fan Wu 1
- Licheng Liu, 0000-0002-9649-1056 1
- Nina Mahmoudian, 0000-0002-3285-8234 1
- Qianlai Zhuang, 0000-0002-4536-9851 1
- Zihan Wang 1
Type
- Dataset 4
Date
subject: Artificial Neural Network (ANN) type: dataset
Total is 4 Results
Data of global wetland methane emissions from artificial neural network modeling v1.0
10.4231/3YX4-EY30
01/21/2020
Source code of an ANN model, site level data, input data, output data and visualization results, which are presented in the manuscript "Inventorying Global Wetland Methane Emissions Based on In Situ Data and an Artificial Neural Network...
Artificial Neural Network (ANN) Atmospheric Chemistry Modeling Biogeochemistry Earth and Atmospheric Sciences Interactive Data Language (IDL) Machine Learning Matlab Methane Dynamics Model (MDM) Methane Emission
Aerial Fluvial Image Dataset (AFID) for Semantic Segmentation
10.4231/B129-XD47
Li-Fan Wu
,
Nina Mahmoudian
,
Zihan Wang
07/20/2022
816 2K/2.7K per-pixel annotated images with 8 classes: River, Boat, Bridge, Sky, Forest vegetation, Dry sediment, Drone self and Obstacle in river. Fluvial scenes are from Wabash River and Wildcat Creek in Indiana, USA.
Artificial Neural Network (ANN) autonomos vehicles Collision Avoidance deep learning drone Image Dataset Mechanical Engineering navigation RGB image dataset River Robotics semantic segmentation Unmanned Aerial Vehicle Wabash River
Data for Analyzing the Effect of Data Splitting and Covariate Shift on Machine Leaning Based Streamflow Prediction in Ungauged Basins
10.4231/0PG5-KC30
Pin-ching Li
,
Sayan Dey
,
Venkatesh Mohan Merwade
01/23/2023
This resource contains the data used in the study "Analyzing the Effect of Data Splitting and Covariate Shift on Machine Leaning Based Streamflow Prediction in Ungauged Basins" published in Water Resources Research (doi: 10.1029/2023WR034464)
Artificial Neural Network (ANN) covariate shift Hydrology Machine Learning prediction in ungauged basin Random Forest streamflow prediction
Codes for Analyzing the Effect of Data Splitting and Covariate Shift on Machine Leaning Based Streamflow Prediction in Ungauged Basins
10.4231/B783-2C47
Pin-ching Li
,
Sayan Dey
,
Venkatesh Mohan Merwade
01/23/2023
This resource contains codes used in the study "Analyzing the Effect of Data Splitting and Covariate Shift on Machine Leaning Based Streamflow Prediction in Ungauged Basins" published in Water Resources Research (doi: 10.1029/2023WR034464)
Artificial Neural Network (ANN) Machine Learning Random Forest streamflow prediction
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Results 1 - 4 of 4