Amnir Hadachi

Orcid: 0000-0001-9257-3858

According to our database1, Amnir Hadachi authored at least 34 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
A hidden Markov model method for non-stationary noise reduction: case study on Sentinel data for mowing detection.
Signal Image Video Process., October, 2023

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, April, 2023

MOTT: A new model for multi-object tracking based on green learning paradigm.
AI Open, January, 2023

Transformer for multiple object tracking: Exploring locality to vision.
Pattern Recognit. Lett., 2023

A Random Walk Approach for Simulation-Based Continuous Dynamic Traffic Assignment.
CoRR, 2023

Exploring Machine Learning Techniques to Identify Important Factors Leading to Injury in Curve Related Crashes.
CoRR, 2023

Power of the Data in the Analysis and Evaluation of Bicycle-sharing Integration in an Urban Ecosystem: a Case Study in Tartu City.
Proceedings of the 8th International Conference on Models and Technologies for Intelligent Transportation Systems, 2023

CDR-based Trajectory Reconstruction of Mobile Network Data Using Transformers.
Proceedings of the 8th International Conference on Models and Technologies for Intelligent Transportation Systems, 2023

2022
A Survey on the Advancement of Travel Time Estimation Using Mobile Phone Network Data.
IEEE Trans. Intell. Transp. Syst., 2022

Real-Time System for Daily Modal Split Estimation and OD Matrices Generation Using IoT Data: A Case Study of Tartu City.
Sensors, 2022

A Real-Time Model for Pedestrian Flow Estimation in Urban Areas based on IoT Sensors.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021
CDR Based Trajectories: Tentative for Filtering Ping-pong Handover.
CoRR, 2021

Mobile Positioning and Trajectory Reconstruction Based on Mobile Phone Network Data: A Tentative Using Particle Filter.
Proceedings of the 7th International Conference on Models and Technologies for Intelligent Transportation Systems, 2021

Towards state-full positioning of mobile subscribers through advanced cell coverage modeling technique.
Proceedings of the 11th International Conference on Localization and GNSS, 2021

2020
Adaptive Edge Process Migration for IoT in Heterogeneous Fog and Edge Computing Environments.
Int. J. Mob. Comput. Multim. Commun., 2020

Evaluation of the Robustness of Visual SLAM Methods in Different Environments.
CoRR, 2020

Neural Networks Model for Travel Time Prediction Based on ODTravel Time Matrix.
CoRR, 2020

Road Surface Recognition Based on DeepSense Neural Network using Accelerometer Data.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

NetCalib: A Novel Approach for LiDAR-Camera Auto-calibration Based on Deep Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Mobile Big Data: Foundations, State of the Art, and Future Directions.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Exploring a New Model for Mobile Positioning Based on CDR Data of The Cellular Networks.
CoRR, 2019

OD-Matrix Extraction based on Trajectory Reconstruction from Mobile Data.
Proceedings of the 2019 International Conference on Wireless and Mobile Computing, 2019

2018
Adaptive Edge Process Migration for IoT in Heterogeneous Cloud-Fog-Edge Computing Environment.
CoRR, 2018

Introducing Cellular Network Layer into SUMO for Simulating Vehicular Mobile Devices' Interactions in Urban Environment.
Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems, 2018

Mobility Episode Discovery in the Mobile Networks Based on Enhanced Switching Kalman Filter.
Proceedings of the 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2018

From Mobility Analysis to Mobility Hubs Discovery: A Concept Based on Using CDR Data of the Mobile Networks.
Proceedings of the 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2018

2017
A new approach for mobile positioning using the CDR data of cellular networks.
Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017

Spatio-temporal mobility analysis for community detection in the mobile networks using CDR data.
Proceedings of the 9th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2017

2015
Real time movement labelling of mobile event data.
J. Locat. Based Serv., 2015

Mobility episode detection from CDR's data using switching Kalman filter.
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, 2015

2014
Cell phone subscribers mobility prediction using enhanced Markov Chain algorithm.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

2013
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).
PhD thesis, 2013

2012
Practical testing application of travel time estimation using applied Monte Carlo Method and adaptive estimation from probes.
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

2011
An application of the Sequential Monte Carlo to increase the accuracy of travel time estimation in urban areas.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011


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