Browsing byAuthorGrigorev, A
Showing results 1 to 10 of 10
| Issue Date | Title | Author(s) |
| 2023-01-28 | Traffic Accident Risk Forecasting using Contextual Vision Transformers with Static Map Generation and Coarse-Fine-Coarse Transformers | Grigorev, A; Saleh, K; Mihaita, A-S |
| 2023 | Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning | Grigorev, A; Mihăiţă, A-S; Saleh, K; Chen, F |
| 2022-10-12 | Traffic Accident Risk Forecasting using Contextual Vision Transformers | Saleh, K; Grigorev, A; Mihaita, A-S |
| 2022-09-20 | Traffic Accident Risk Forecasting using Contextual Vision Transformers | Saleh, K; Grigorev, A; Mihaita, A-S |
| 2022-09-18 | Traffic incident duration prediction via a deep learning framework for text description encoding | Grigorev, A; Mihaita, A-S; Saleh, K; Piccardi, M |
| 2022-08-01 | Incident duration prediction using a bi-level machine learning framework with outlier removal and intra–extra joint optimisation | Grigorev, A; Mihaita, A-S; Lee, S; Chen, F |
| 2022-05-10 | Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation | Grigorev, A; Mihaita, A-S; Lee, S; Chen, F |
| 2022-01-01 | Traffic incident duration prediction via a deep learning framework for text description encoding | Grigorev, A; Mihaita, AS; Saleh, K; Piccardi, M |
| 2021-10-27 | How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach | Grigorev, A; Mao, T; Berry, A; Tan, J; Purushothaman, L; Mihaita, A-S |
| 2021-09-19 | How will electric vehicles affect traffic congestion and energy consumption: An integrated modelling approach | Grigorev, A; Mao, T; Berry, A; Tan, J; Purushothaman, L; Mihaita, AS |
