Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/81398
| Title: | Controlling air traffic congestion by predicting flight departure delays and duration : integrating machine learning sampling techniques and deep learning approaches | Authors: | Khan, WA Chung, SH Ma, HL |
Issue Date: | 2020 | Source: | Proceedings of the TSL Second Triennial Conference, 2020, 128, p.1-5. | Publisher: | INFORMS | Description: | Transportation Science and Logistics Conference 2020 (TSL 2020), Washington DC, USA, 27-29 May 2020 (cancelled) | Rights: | Posted with permission. |
| Appears in Collections: | Conference Paper |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Khan_Controlling_air_traffic.pdf | 203.22 kB | Adobe PDF | View/Open |
Page views
34
Last Week
1
1
Last month
Citations as of Jun 4, 2023
Downloads
68
Citations as of Jun 4, 2023
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.