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61 to 70 of 1,596 Results
04_01_23_30_54-1.png
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Aug 5, 2026 - AI4ATM-Weather-Radar-Image_Singapore-FIR-20240401_v1.zip
PNG Image - 411.9 KB - MD5: 81bee9d3b1b1d706b4d3a660ed438141
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Aug 5, 2026 - AI4ATM-Weather-Radar-Image_Singapore-FIR-20240401_v1.zip
PNG Image - 409.4 KB - MD5: 392c39473ba2fd893eafa779aeea97cf
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Aug 5, 2026 - AI4ATM-Weather-Radar-Image_Singapore-FIR-20240401_v1.zip
PNG Image - 401.2 KB - MD5: 8c7b271ac4add4dec600f2bcc5cf92f3
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04_01_23_46_11-1.png
Aug 5, 2026 - AI4ATM-Weather-Radar-Image_Singapore-FIR-20240401_v1.zip
PNG Image - 389.9 KB - MD5: 70283baf30b039b695052050bbff4497
04_01_23_51_17-1.png
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Aug 5, 2026 - AI4ATM-Weather-Radar-Image_Singapore-FIR-20240401_v1.zip
PNG Image - 386.4 KB - MD5: b867b2aabc98c6f9fc0bbeeb2086392a
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Aug 5, 2026 - AI4ATM-Weather-Radar-Image_Singapore-FIR-20240401_v1.zip
PNG Image - 379.3 KB - MD5: 65595a60faa8472abcc5bc6c5325619a
AI4ATM-Wind-Field-Singapore-FIR-20240401_v1.xlsx
Aug 5, 2026 - Bizhao PANG
Pang, Bizhao, 2026, "AI4ATM-Wind-Field-Singapore-FIR-20240401_v1.xlsx", https://doi.org/10.21979/N9/AGDTOA, DR-NTU (Data), V1, UNF:6:/xfh7wc6MMp9Oao0FdF1UA== [fileUNF]
Sample wind-field data for the Singapore Flight Information Region, used to model wind effects in aircraft trajectory prediction and rerouting experiments.
Sample wind field data in Singapore FIR_20240401.tab
Aug 5, 2026 - AI4ATM-Wind-Field-Singapore-FIR-20240401_v1.xlsx
Tabular Data - 480.6 KB - 23 Variables, 2000 Observations - UNF:6:/xfh7wc6MMp9Oao0FdF1UA==
Bizhao PANG(Nanyang Technological University)
Aug 5, 2026Air Traffic Management Research Institute (ATMRI)
This dataset contains non-sensitive sample data used in the A*STAR-funded project Artificial Intelligence for Air Traffic Management. It includes Singapore aeronautical information, sample ADS-B flight trajectory data, weather radar images, and wind-field data for the Singapore F...
RF-MatID Frequency-domain Dataset
Apr 15, 2026 - YANG Jianfei
Chen, Xinyan, 2026, "RF-MatID Frequency-domain Dataset", https://doi.org/10.21979/N9/YLDFJM, DR-NTU (Data), V1
We introduce RF-MatID, a comprehensive dataset and benchmark designed to bridge the gap in robust material identification. RF-MatID is the largest and most diverse dataset of its kind, featuring: - 16 fine-grained categories derived from 5 superclasses (e.g., Plastic, Metal, Wood...
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