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ORCIDAdriana Simona Mihaita
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- affiliation: University of Technology Sydney, School of Computer Science, Australia
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2020 – today
- 2024
[j6]Artur Grigorev
, Adriana Simona Mihaita, Khaled Saleh, Fang Chen:
Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning. IEEE Trans. Intell. Transp. Syst. 25(2): 1547-1568 (2024)- [i14]Artur Grigorev, Khaled Saleh, Yuming Ou, Adriana Simona Mihaita:
Integrating Large Language Models for Severity Classification in Traffic Incident Management: A Machine Learning Approach. CoRR abs/2403.13547 (2024) - [i13]Artur Grigorev, Sajjad Shafiei, Hanna Grzybowska, Adriana Simona Mihaita:
Predicting the duration of traffic incidents for Sydney greater metropolitan area using machine learning methods. CoRR abs/2406.18861 (2024) - 2023
- [c13]Bo Wang, A. Kai Qin, Sajjad Shafiei, Hussein Dia, Adriana Simona Mihaita, Hanna Grzybowska:
Training Physics- Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction. IJCNN 2023: 1-7 - [c12]Khaled Saleh, Adriana Simona Mihaita, Yuming Ou:
Metro Ridership Forecasting using Inter-Station-Aware Transformer Networks. ITSC 2023: 1215-1220 - [c11]Dong Zhao, Adriana Simona Mihaita, Yuming Ou, Hanna Grzybowska:
Modelling public transport disruptions and impact by smart-card data. ITSC 2023: 2945-2952 - [c10]Artur Grigorev, Khaled Saleh, Adriana Simona Mihaita:
Traffic Accident Risk Forecasting using Contextual Vision Transformers with Static Map Generation and Coarse-Fine-Coarse Transformers. ITSC 2023: 4762-4769 - [i12]Bo Wang, A. Kai Qin, Sajjad Shafiei, Hussein Dia, Adriana Simona Mihaita, Hanna Grzybowska:
Training Physics-Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction. CoRR abs/2307.03920 (2023) - 2022
- [j5]Diego M. Botín-Sanabria, Adriana Simona Mihaita, Rodrigo E. Peimbert-García, Mauricio Adolfo Ramírez-Moreno, Ricardo A. Ramírez-Mendoza, Jorge de-J. Lozoya-Santos:
Digital Twin Technology Challenges and Applications: A Comprehensive Review. Remote. Sens. 14(6): 1335 (2022) - [j4]Tuo Mao, Adriana Simona Mihaita, Fang Chen, Hai Le Vu:
Boosted Genetic Algorithm Using Machine Learning for Traffic Control Optimization. IEEE Trans. Intell. Transp. Syst. 23(7): 7112-7141 (2022) - [c9]Khaled Saleh, Adriana Simona Mihaita, Kun Yu, Fang Chen:
Real-time Attention-Augmented Spatio-Temporal Networks for Video-based Driver Activity Recognition. ITSC 2022: 1579-1585 - [c8]Artur Grigorev, Adriana Simona Mihaita, Khaled Saleh, Massimo Piccardi:
Traffic incident duration prediction via a deep learning framework for text description encoding. ITSC 2022: 1770-1777 - [c7]Khaled Saleh, Artur Grigorev, Adriana Simona Mihaita:
Traffic Accident Risk Forecasting using Contextual Vision Transformers. ITSC 2022: 2086-2092 - [c6]Dong Zhao, Adriana Simona Mihaita, Yuming Ou, Sajjad Shafiei, Hanna Grzybowska, Kai Qin, Gary Tan, Mo Li, Hussein Dia:
Traffic disruption modelling with mode shift in multi-modal networks. ITSC 2022: 2428-2435 - [i11]Artur Grigorev, Adriana Simona Mihaita, Seunghyeon Lee, Fang Chen:
Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation. CoRR abs/2205.05197 (2022) - [i10]Artur Grigorev, Adriana Simona Mihaita, Khaled Saleh, Massimo Piccardi:
Traffic incident duration prediction via a deep learning framework for text description encoding. CoRR abs/2209.08735 (2022) - [i9]Khaled Saleh, Artur Grigorev, Adriana Simona Mihaita:
Traffic Accident Risk Forecasting using Contextual Vision Transformers. CoRR abs/2209.11180 (2022) - 2021
- [c5]Artur Grigorev, Tuo Mao, Adam Berry, Joachim Tan, Loki Purushothaman, Adriana Simona Mihaita:
How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach. ITSC 2021: 1635-1642 - [c4]Ankit R. Patel, Gargi Trivedi, Dhaval R. Vyas, Adriana Simona Mihaita, Sanjeevikumar Padmanaban:
Framework for User-Centered Access to Electric Charging Facilities via Energy-Trading Blockchain. WPMC 2021: 1-6 - [i8]Tuo Mao, Adriana Simona Mihaita, Fang Chen, Hai Le Vu:
Boosted Genetic Algorithm using Machine Learning for traffic control optimization. CoRR abs/2103.08317 (2021) - [i7]Artur Grigorev, Tuo Mao, Adam Berry, Joachim Tan, Loki Purushothaman, Adriana Simona Mihaita:
How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach. CoRR abs/2110.14064 (2021) - 2020
- [c3]Adriana Simona Mihaita, Zac Papachatgis, Marian-Andrei Rizoiu:
Graph modelling approaches for motorway traffic flow prediction. ITSC 2020: 1-8 - [c2]Yuming Ou, Adriana Simona Mihaita, Fang Chen:
Dynamic Train Demand Estimation and Passenger Assignment. ITSC 2020: 1-6 - [i6]Adriana Simona Mihaita, Haowen Li, Marian-Andrei Rizoiu:
Traffic congestion anomaly detection and prediction using deep learning. CoRR abs/2006.13215 (2020) - [i5]Adriana Simona Mihaita, Zac Papachatgis, Marian-Andrei Rizoiu:
Graph modelling approaches for motorway traffic flow prediction. CoRR abs/2006.14824 (2020)
2010 – 2019
- 2019
- [j3]Adriana Simona Mihaita, Mirian Benavides Ortiz, Mauricio Camargo, Chen Cai:
Predicting Air Quality by Integrating a Mesoscopic Traffic Simulation Model and Simplified Air Pollutant Estimation Models. Int. J. Intell. Transp. Syst. Res. 17(2): 125-141 (2019) - [c1]Adriana Simona Mihaita, Haowen Li, Zongyang He, Marian-Andrei Rizoiu:
Motorway Traffic Flow Prediction using Advanced Deep Learning. ITSC 2019: 1683-1690 - [i4]Adriana Simona Mihaita, Zheyuan Liu, Chen Cai, Marian-Andrei Rizoiu:
Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting. CoRR abs/1905.12254 (2019) - [i3]Sajjad Shafiei, Adriana Simona Mihaita, Chen Cai:
Trip Table Estimation and Prediction for Dynamic Traffic Assignment Applications. CoRR abs/1906.04739 (2019) - [i2]Tuo Mao, Adriana Simona Mihaita, Chen Cai:
Traffic signal control optimization under severe incident conditions using Genetic Algorithm. CoRR abs/1906.05356 (2019) - [i1]Adriana Simona Mihaita, Haowen Li, Zongyang He, Marian-Andrei Rizoiu:
Motorway Traffic Flow Prediction using Advanced Deep Learning. CoRR abs/1907.06356 (2019) - 2018
- [j2]Adriana Simona Mihaita, Laurent Dupont, Mauricio Camargo:
Multi-objective traffic signal optimization using 3D mesoscopic simulation and evolutionary algorithms. Simul. Model. Pract. Theory 86: 120-138 (2018) - 2014
- [j1]Davy Monticolo, Adriana Simona Mihaita, Hind Darwich, Vincent Hilaire:
An agent-based system to build project memories during engineering projects. Knowl. Based Syst. 68: 88-102 (2014)
Coauthor Index
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last updated on 2024-08-05 20:15 CEST by the dblp team
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