Byungho Kang for Esurf

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1 to 7 of 7 Results

Trained CNN, Coastal Imagery Dataset, and Manual Labels for Flooding Detection Aug 16, 2023 Kang, Byungho, 2023, "Trained CNN, Coastal Imagery Dataset, and Manual Labels for Flooding Detection", https://doi.org/10.18738/T8/TJPQA0, Texas Data Repository, V2 The data set encompasses the trained CNN based on ResNet-18, along with the image dataset and the manual labels, as described in "Stochastic Properties of Coastal Flooding Events – Part 1: CNN-based Semantic Segmentation for Water Detection" (https://doi.org/10.5194/egusphere-202...
Rescaled_image_set_with_labels.zip Aug 16, 2023 - Trained CNN, Coastal Imagery Dataset, and Manual Labels for Flooding Detection ZIP Archive - 880.1 MB - MD5: c08152acd683c0ce76b7835796a0c000
Trained_network(ResNet_18 Base).mat Aug 16, 2023 - Trained CNN, Coastal Imagery Dataset, and Manual Labels for Flooding Detection MATLAB Data - 58.2 MB - MD5: f8c5821d39e8ca4121e8693617a5c35e
Time Series Data and Preprocessing Code for Coastal Flooding Probabilistic Analysis Aug 14, 2023 Kang, Byungho, 2023, "Time Series Data and Preprocessing Code for Coastal Flooding Probabilistic Analysis", https://doi.org/10.18738/T8/FLGDS0, Texas Data Repository, V1, UNF:6:jxXJSCUh3umjOBXK/Z1f0Q== [fileUNF] The time series data, obtained through CNN prediction, along with the associated preprocessing code, are detailed in "Stochastic Properties of Coastal Flooding Events – Part 2: Probabilistic Analysis" (https://doi.org/10.5194/egusphere-2023-238).
Cluster_StatGenerator.m Aug 14, 2023 - Time Series Data and Preprocessing Code for Coastal Flooding Probabilistic Analysis Plain Text - 1.6 KB - MD5: b13e82a9b01896f13d211aa199b1bbd1
Time series of water area fraction.mat Aug 14, 2023 - Time Series Data and Preprocessing Code for Coastal Flooding Probabilistic Analysis MATLAB Data - 447.8 KB - MD5: eae7e51ab8a20422eb91e08d65f5362f
Total Water Level.tab Aug 14, 2023 - Time Series Data and Preprocessing Code for Coastal Flooding Probabilistic Analysis Tabular Data - 4.4 MB - 22 Variables, 21865 Observations - UNF:6:jxXJSCUh3umjOBXK/Z1f0Q==

Trained CNN, Coastal Imagery Dataset, and Manual Labels for Flooding Detection

Aug 16, 2023

Kang, Byungho, 2023, "Trained CNN, Coastal Imagery Dataset, and Manual Labels for Flooding Detection", https://doi.org/10.18738/T8/TJPQA0, Texas Data Repository, V2

The data set encompasses the trained CNN based on ResNet-18, along with the image dataset and the manual labels, as described in "Stochastic Properties of Coastal Flooding Events – Part 1: CNN-based Semantic Segmentation for Water Detection" (https://doi.org/10.5194/egusphere-202...

Rescaled_image_set_with_labels.zip

Aug 16, 2023 - Trained CNN, Coastal Imagery Dataset, and Manual Labels for Flooding Detection

ZIP Archive - 880.1 MB -

Trained_network(ResNet_18 Base).mat

Aug 16, 2023 - Trained CNN, Coastal Imagery Dataset, and Manual Labels for Flooding Detection

MATLAB Data - 58.2 MB -

Time Series Data and Preprocessing Code for Coastal Flooding Probabilistic Analysis

Aug 14, 2023

Kang, Byungho, 2023, "Time Series Data and Preprocessing Code for Coastal Flooding Probabilistic Analysis", https://doi.org/10.18738/T8/FLGDS0, Texas Data Repository, V1, UNF:6:jxXJSCUh3umjOBXK/Z1f0Q== [fileUNF]

The time series data, obtained through CNN prediction, along with the associated preprocessing code, are detailed in "Stochastic Properties of Coastal Flooding Events – Part 2: Probabilistic Analysis" (https://doi.org/10.5194/egusphere-2023-238).

Cluster_StatGenerator.m

Aug 14, 2023 - Time Series Data and Preprocessing Code for Coastal Flooding Probabilistic Analysis

Plain Text - 1.6 KB -

Time series of water area fraction.mat

Aug 14, 2023 - Time Series Data and Preprocessing Code for Coastal Flooding Probabilistic Analysis

MATLAB Data - 447.8 KB -

Total Water Level.tab

Aug 14, 2023 - Time Series Data and Preprocessing Code for Coastal Flooding Probabilistic Analysis

Tabular Data - 4.4 MB - 22 Variables, 21865 Observations -

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