1 to 10 of 14 Results
Apr 4, 2022
Koh, Cheng Yong, 2022, "Replication Data for: Machine learning / deep learning approach to soundscape analysis", https://doi.org/10.21979/N9/LTBEMP, DR-NTU (Data), V1
Water features image dataset with labels Waterbody classes in the dataset includes: Fountains Lakes Swimming Pools Canals Ponds Beaches Each .rar file contains 3 folders: images, labels and PixelLabelData Included in each PixelLabelData folder is a gTruth.mat file which contains... |
Apr 4, 2022 -
Replication Data for: Machine learning / deep learning approach to soundscape analysis
RAR Archive - 57.9 MB -
MD5: f638da52c3ed2bbce76d70b599bae11b
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Apr 4, 2022 -
Replication Data for: Machine learning / deep learning approach to soundscape analysis
RAR Archive - 2.8 MB -
MD5: 84697ab15500f97f1eb9107a92a8b20c
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Apr 4, 2022 -
Replication Data for: Machine learning / deep learning approach to soundscape analysis
RAR Archive - 302.3 MB -
MD5: 78195e7432c56f74c1382d3056a39a41
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Apr 4, 2022 -
Replication Data for: Machine learning / deep learning approach to soundscape analysis
RAR Archive - 100.3 MB -
MD5: a9b71b82120787f4a59f46130c5f7c21
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Apr 4, 2022 -
Replication Data for: Machine learning / deep learning approach to soundscape analysis
RAR Archive - 121.5 MB -
MD5: ea32ae9b49a9782a383b47d4f783e21d
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Apr 4, 2022 -
Replication Data for: Machine learning / deep learning approach to soundscape analysis
RAR Archive - 7.4 MB -
MD5: 74b06099634193b7bf7aa404b68f8d50
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Apr 4, 2022 -
Replication Data for: Machine learning / deep learning approach to soundscape analysis
RAR Archive - 18.9 MB -
MD5: 449c0a7f860b3f080081b26a084fc719
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Apr 4, 2022 -
Replication Data for: Machine learning / deep learning approach to soundscape analysis
RAR Archive - 8.8 MB -
MD5: c4829f96458200bf1ddb02289290c5f5
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Apr 4, 2022 -
Replication Data for: Machine learning / deep learning approach to soundscape analysis
PNG Image - 292.2 KB -
MD5: cae5b288ab16e4918ed718b589c34934
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