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Amnir Hadachi
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2020 – today
- 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) - [c17]Oliver Bollverk, Amnir Hadachi
:
CDR-based Trajectory Reconstruction of Mobile Network Data Using Transformers. MT-ITS 2023: 1-6 - [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 - [c13]Salijona Dyrmishi
, Amnir Hadachi
:
Mobile Positioning and Trajectory Reconstruction Based on Mobile Phone Network Data: A Tentative Using Particle Filter. MT-ITS 2021: 1-7 - [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 - [i4]Ayobami E. Adewale, Amnir Hadachi
:
Neural Networks Model for Travel Time Prediction Based on ODTravel Time Matrix. CoRR abs/2004.04030 (2020) - [i3]Joonas Lomps, Artjom Lind, Amnir Hadachi
:
Evaluation of the Robustness of Visual SLAM Methods in Different Environments. CoRR abs/2009.05427 (2020)
2010 – 2019
- 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 - 2013
- [b1]Amnir Hadachi:
Travel Time Estimation Using Sparsely Sampled Probe GPS Data in Urban Road Networks Context. (Estimation des temps de parcours fondée sur l'utilisation des données éparses de véhicules traceurs dans un contexte urbain). Institut national des sciences appliquées de Rouen, France, 2013 - 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
Coauthor Index
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last updated on 2024-08-05 20:24 CEST by the dblp team
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