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Amnir Hadachi
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Publications
- 2024
- [j9]Alireza Akhavi Zadegan, Damien Vivet, Amnir Hadachi:
DELTA: Integrating Multimodal Sensing with Micromobility for Enhanced Sidewalk and Pedestrian Route Understanding. Sensors 24(12): 3863 (2024) - 2023
- [j8]Shan Wu, Amnir Hadachi, Chaoru Lu, Damien Vivet:
MOTT: A new model for multi-object tracking based on green learning paradigm. AI Open 4: 145-153 (2023) - [j7]Shan Wu, Amnir Hadachi, Chaoru Lu, Damien Vivet:
Transformer for multiple object tracking: Exploring locality to vision. Pattern Recognit. Lett. 170: 70-76 (2023) - [j6]Artjom Lind, Shan Wu, Amnir Hadachi:
Application of Gaussian Mixtures in a Multimodal Kalman Filter to Estimate the State of a Nonlinearly Moving System Using Sparse Inaccurate Measurements in a Cellular Radio Network. Sensors 23(7): 3603 (2023) - [j5]Kaveh Khoshkhah, Kyrylo Medianovskyi, Dmitry Kolesnykov, Amnir Hadachi, Kaupo Voormansik:
A hidden Markov model method for non-stationary noise reduction: case study on Sentinel data for mowing detection. Signal Image Video Process. 17(7): 3477-3483 (2023) - [c16]Helen Tera, Mozhgan Pourmoradnasseri, Amnir Hadachi:
Power of the Data in the Analysis and Evaluation of Bicycle-sharing Integration in an Urban Ecosystem: a Case Study in Tartu City. MT-ITS 2023: 1-6 - [i7]Mehdi Moeinaddini, Mozhgan Pourmoradnasseri, Amnir Hadachi, Mario Cools:
Exploring Machine Learning Techniques to Identify Important Factors Leading to Injury in Curve Related Crashes. CoRR abs/2301.01771 (2023) - [i6]Kaveh Khoshkhah, Mozhgan Pourmoradnasseri, Sadok Ben Yahia, Amnir Hadachi:
A Random Walk Approach for Simulation-Based Continuous Dynamic Traffic Assignment. CoRR abs/2311.12440 (2023) - 2022
- [j4]Kaveh Khoshkhah, Mozhgan Pourmoradnasseri, Amnir Hadachi, Helen Tera, Jakob Mass, Erald Keshi, Shan Wu:
Real-Time System for Daily Modal Split Estimation and OD Matrices Generation Using IoT Data: A Case Study of Tartu City. Sensors 22(8): 3030 (2022) - [j3]Amnir Hadachi, Mozhgan Pourmoradnasseri:
A Survey on the Advancement of Travel Time Estimation Using Mobile Phone Network Data. IEEE Trans. Intell. Transp. Syst. 23(8): 11779-11788 (2022) - [c15]Kaveh Khoshkhah, Mozhgan Pourmoradnasseri, Amnir Hadachi:
A Real-Time Model for Pedestrian Flow Estimation in Urban Areas based on IoT Sensors. ITSC 2022: 4124-4130 - 2021
- [c14]Artjom Lind, Amnir Hadachi:
Towards state-full positioning of mobile subscribers through advanced cell coverage modeling technique. ICL-GNSS 2021: 1-6 - [i5]Joonas Lomps, Artjom Lind, Amnir Hadachi:
CDR Based Trajectories: Tentative for Filtering Ping-pong Handover. CoRR abs/2105.00526 (2021) - 2020
- [j2]Chii Chang, Amnir Hadachi, Satish Narayana Srirama:
Adaptive Edge Process Migration for IoT in Heterogeneous Fog and Edge Computing Environments. Int. J. Mob. Comput. Multim. Commun. 11(3): 1-21 (2020) - [c12]Shan Wu, Amnir Hadachi, Damien Vivet, Yadu Prabhakar:
NetCalib: A Novel Approach for LiDAR-Camera Auto-calibration Based on Deep Learning. ICPR 2020: 6648-6655 - [c11]Shan Wu, Amnir Hadachi:
Road Surface Recognition Based on DeepSense Neural Network using Accelerometer Data. IV 2020: 305-312 - [i3]Joonas Lomps, Artjom Lind, Amnir Hadachi:
Evaluation of the Robustness of Visual SLAM Methods in Different Environments. CoRR abs/2009.05427 (2020) - 2019
- [c10]Mozhgan Pourmoradnasseri, Kaveh Khoshkhah, Artjom Lind, Amnir Hadachi:
OD-Matrix Extraction based on Trajectory Reconstruction from Mobile Data. WiMob 2019: 1-8 - [r1]Chii Chang, Amnir Hadachi, Satish Narayana Srirama, Mart Min:
Mobile Big Data: Foundations, State of the Art, and Future Directions. Encyclopedia of Big Data Technologies 2019 - [i2]Amnir Hadachi, Artjom Lind:
Exploring a New Model for Mobile Positioning Based on CDR Data of The Cellular Networks. CoRR abs/1902.09399 (2019) - 2018
- [c9]Amnir Hadachi, Artjom Lind, Joonas Lomps, Peeter Piksarv:
From Mobility Analysis to Mobility Hubs Discovery: A Concept Based on Using CDR Data of the Mobile Networks. ICUMT 2018: 1-6 - [c8]Toivo Vajakas, Tanel Kiis, Amnir Hadachi, Eero Vainikko:
Mobility Episode Discovery in the Mobile Networks Based on Enhanced Switching Kalman Filter. ICUMT 2018: 1-7 - [c7]Siim-Toomas Marran, Artjom Lind, Amnir Hadachi:
Introducing Cellular Network Layer into SUMO for Simulating Vehicular Mobile Devices' Interactions in Urban Environment. VEHITS 2018: 582-589 - [i1]Chii Chang, Amnir Hadachi, Satish Narayana Srirama:
Adaptive Edge Process Migration for IoT in Heterogeneous Cloud-Fog-Edge Computing Environment. CoRR abs/1811.10939 (2018) - 2017
- [c6]Artjom Lind, Amnir Hadachi, Peeter Piksarv, Oleg Batrashev:
Spatio-temporal mobility analysis for community detection in the mobile networks using CDR data. ICUMT 2017: 250-255 - [c5]Artjom Lind, Amnir Hadachi, Oleg Batrashev:
A new approach for mobile positioning using the CDR data of cellular networks. MT-ITS 2017: 315-320 - 2015
- [j1]Elis Kõivumägi, Mati Vait, Amnir Hadachi, Georg Singer, Eero Vainikko:
Real time movement labelling of mobile event data. J. Locat. Based Serv. 9(1): 55-76 (2015) - [c4]Oleg Batrashev, Amnir Hadachi, Artjom Lind, Eero Vainikko:
Mobility episode detection from CDR's data using switching Kalman filter. MobiGIS 2015: 63-69 - 2014
- [c3]Amnir Hadachi, Oleg Batrashev, Artjom Lind, Georg Singer, Eero Vainikko:
Cell phone subscribers mobility prediction using enhanced Markov Chain algorithm. Intelligent Vehicles Symposium 2014: 1049-1054 - 2012
- [c2]Amnir Hadachi, Stéphane Mousset, Abdelaziz Bensrhair:
Practical testing application of travel time estimation using applied Monte Carlo Method and adaptive estimation from probes. Intelligent Vehicles Symposium 2012: 1078-1083 - 2011
- [c1]Amnir Hadachi, Christèle Lecomte, Stéphane Mousset, Abdelaziz Bensrhair:
An application of the Sequential Monte Carlo to increase the accuracy of travel time estimation in urban areas. ITSC 2011: 157-162
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