Subject
- Biomedical Engineering 2
- Earth and Atmospheric Sciences 2
- Physics 2
- Agronomy 1
- Aviation Technology 1
- Computer Science 1
- Industrial Engineering 1
- Interdisciplinary Research 1
- Life Sciences 1
- Mechanical Engineering 1
Creator
- Pin-ching Li 2
- Sayan Dey, 0000-0002-5327-8431 2
- Venkatesh Mohan Merwade, 0000-0001-5518-2890 2
- Ahmed Khaled Soliman 1
- Aihua Huang 1
- Alexandre Zimmers 1
- Andres Torres 1
- Avnika Manaktala, 0000-0003-4470-4037 1
- Baichuan Zhang 1
- Bartlomiej P. Rajwa 1
Type
- Dataset 18
Date
subject: Machine Learning type: dataset
Total is 18 Results
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
Clustering in Machine Learning Pattern Formation of VO2
10.4231/966Q-6F95
Alexandre Zimmers
,
Dmitri Basov
,
Erica Carlson
,
Forrest Simmons
,
Ivan K. Schuller
,
Lionel Aigouy
,
Lukasz Burzawa
,
Melissa Alzate Banguero
,
Mumtaz Qazilbash
,
Pavel Salev
,
Sayan Basak
04/07/2023
Codes used in "Deep Learning Hamiltonians form Disordered Image Data in Quantum Materials" https://arxiv.org/abs/2211.01490 and the resulting visualizations.
Clustering Machine Learning Physics quantum materials Scientific visualization symmetry Vanadium dioxide VO2
General Aviation Flight Phase Identification using Automatic Dependent Surveillance-Broadcast (ADS-B)
10.4231/X0HZ-MF23
08/23/2021
Dataset including KLAF ADS-B data and synthetic flight data for clustering validation purposes.
RoboMal Malware Detection Dataset
10.4231/YN7G-H807
Byung-cheol Min
,
Haozhe Zhou
,
Richard Voyles
,
Upinder Kaur
,
Xiaxin Shen
10/15/2021
The RoboMal Dataset consists of 450 binary executables designed to facilitate malware detection in robotic software.
Engineering Technology Machine Learning malware Python Robotics security
Modeling the Sea Level Changes in Guam
10.4231/0A0F-7A84
10/14/2019
This project works on understanding the different statistical models that are available to analyze and predict mean sea level changes in Guam.
Climate Change Data Education Earth and Atmospheric Sciences FAIR Data Machine Learning Sea level rise Statistical analysis Statistical Methods
Structural attributes derived from Google Street View imagery, Louisiana coastal zone
10.4231/1TZX-BR43
David R Johnson
,
Ed Delp
,
Fu-Chen Chen
,
Mohammad Jahanshahi
07/28/2020
Structural attributes relevant to flood risk (foundation height/type, square footage, number of stories, building type), produced using machine learning for automated image analysis of GSV images.
flood risk Industrial Engineering Machine Learning structure attributes
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
Code and Dataset for TARP Detection Benchmarks
10.4231/R7ST7MVC
Kelsie Larson
,
Mireille Boutin
05/16/2017
The TARP method uses random projections, followed by threshold classifications, to construct receiver-operating characteristic curves and uncover underlying structure in the given data.
Electrical and Computer Engineering Machine Learning Receiver Operating Characteristics ROC curve Signal Processing Target Detection
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Results 1 - 10 of 18