Abstract
A non-dominated sorting genetic algorithm was employed to optimize the Multi-Scale Multi-Group Wide-Band model (MSMGWB) for the grouping strategy, Gaussian quadrature scheme, and reference temperature parameters in infrared remote detection computation.
| Original language | English |
|---|---|
| State | Published - 2024 |
| Event | Applied Industrial Spectroscopy, AIS 2024 - Part of Optica Sensing Congress - Toulouse, France Duration: 15 Jul 2024 → 19 Jul 2024 |
Conference
| Conference | Applied Industrial Spectroscopy, AIS 2024 - Part of Optica Sensing Congress |
|---|---|
| Country/Territory | France |
| City | Toulouse |
| Period | 15/07/24 → 19/07/24 |
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