An application of the Sequential Monte Carlo to increase the accuracy of travel time estimation in urban areas. - Amnir Hadachi; Christèle Lecomte; Stéphane Mousset; Abdelaziz Bensrhair (ITSC, 2011)

Practical testing application of travel time estimation using applied Monte Carlo Method and adaptive estimation from probes. - Amnir Hadachi; Stéphane Mousset; Abdelaziz Bensrhair (Intelligent Vehicles Symposium, 2012)

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). - Amnir Hadachi (2013)

Cell phone subscribers mobility prediction using enhanced Markov Chain algorithm. - Amnir Hadachi; Oleg Batrashev; Artjom Lind; Georg Singer; Eero Vainikko (Intelligent Vehicles Symposium, 2014)

Mobility episode detection from CDR's data using switching Kalman filter. - Oleg Batrashev; Amnir Hadachi; Artjom Lind; Eero Vainikko (MobiGIS, 2015)

Real time movement labelling of mobile event data. - Elis Kõivumägi; Mati Vait; Amnir Hadachi; Georg Singer; Eero Vainikko (J. Locat. Based Serv., 2015)

Spatio-temporal mobility analysis for community detection in the mobile networks using CDR data. - Artjom Lind; Amnir Hadachi; Peeter Piksarv; Oleg Batrashev (ICUMT, 2017)

A new approach for mobile positioning using the CDR data of cellular networks. - Artjom Lind; Amnir Hadachi; Oleg Batrashev (MT-ITS, 2017)

From Mobility Analysis to Mobility Hubs Discovery: A Concept Based on Using CDR Data of the Mobile Networks. - Amnir Hadachi; Artjom Lind; Joonas Lomps; Peeter Piksarv (ICUMT, 2018)

Mobility Episode Discovery in the Mobile Networks Based on Enhanced Switching Kalman Filter. - Toivo Vajakas; Tanel Kiis; Amnir Hadachi; Eero Vainikko (ICUMT, 2018)

Introducing Cellular Network Layer into SUMO for Simulating Vehicular Mobile Devices' Interactions in Urban Environment. - Siim-Toomas Marran; Artjom Lind; Amnir Hadachi (VEHITS, 2018)

Adaptive Edge Process Migration for IoT in Heterogeneous Cloud-Fog-Edge Computing Environment. - Chii Chang; Amnir Hadachi; Satish Narayana Srirama (CoRR, 2018)

OD-Matrix Extraction based on Trajectory Reconstruction from Mobile Data. - Mozhgan Pourmoradnasseri; Kaveh Khoshkhah; Artjom Lind; Amnir Hadachi (WiMob, 2019)

Exploring a New Model for Mobile Positioning Based on CDR Data of The Cellular Networks. - Amnir Hadachi; Artjom Lind (CoRR, 2019)

Mobile Big Data: Foundations, State of the Art, and Future Directions. - Chii Chang; Amnir Hadachi; Satish Narayana Srirama; Mart Min (Encyclopedia of Big Data Technologies, 2019)

NetCalib: A Novel Approach for LiDAR-Camera Auto-calibration Based on Deep Learning. - Shan Wu; Amnir Hadachi; Damien Vivet; Yadu Prabhakar (ICPR, 2020)

Road Surface Recognition Based on DeepSense Neural Network using Accelerometer Data. - Shan Wu; Amnir Hadachi (IV, 2020)

Neural Networks Model for Travel Time Prediction Based on ODTravel Time Matrix. - Ayobami E. Adewale; Amnir Hadachi (CoRR, 2020)

Evaluation of the Robustness of Visual SLAM Methods in Different Environments. - Joonas Lomps; Artjom Lind; Amnir Hadachi (CoRR, 2020)

Adaptive Edge Process Migration for IoT in Heterogeneous Fog and Edge Computing Environments. - Chii Chang; Amnir Hadachi; Satish Narayana Srirama (Int. J. Mob. Comput. Multim. Commun., 2020)

Towards state-full positioning of mobile subscribers through advanced cell coverage modeling technique. - Artjom Lind; Amnir Hadachi (ICL-GNSS, 2021)

Mobile Positioning and Trajectory Reconstruction Based on Mobile Phone Network Data: A Tentative Using Particle Filter. - Salijona Dyrmishi; Amnir Hadachi (MT-ITS, 2021)

CDR Based Trajectories: Tentative for Filtering Ping-pong Handover. - Joonas Lomps; Artjom Lind; Amnir Hadachi (CoRR, 2021)

A Real-Time Model for Pedestrian Flow Estimation in Urban Areas based on IoT Sensors. - Kaveh Khoshkhah; Mozhgan Pourmoradnasseri; Amnir Hadachi (ITSC, 2022)

Real-Time System for Daily Modal Split Estimation and OD Matrices Generation Using IoT Data: A Case Study of Tartu City. - Kaveh Khoshkhah; Mozhgan Pourmoradnasseri; Amnir Hadachi; Helen Tera; Jakob Mass; Erald Keshi; Shan Wu (Sensors, 2022)

A Survey on the Advancement of Travel Time Estimation Using Mobile Phone Network Data. - Amnir Hadachi; Mozhgan Pourmoradnasseri (IEEE Trans. Intell. Transp. Syst., 2022)

CDR-based Trajectory Reconstruction of Mobile Network Data Using Transformers. - Oliver Bollverk; Amnir Hadachi (MT-ITS, 2023)

Power of the Data in the Analysis and Evaluation of Bicycle-sharing Integration in an Urban Ecosystem: a Case Study in Tartu City. - Helen Tera; Mozhgan Pourmoradnasseri; Amnir Hadachi (MT-ITS, 2023)

Exploring Machine Learning Techniques to Identify Important Factors Leading to Injury in Curve Related Crashes. - Mehdi Moeinaddini; Mozhgan Pourmoradnasseri; Amnir Hadachi; Mario Cools (CoRR, 2023)

A Random Walk Approach for Simulation-Based Continuous Dynamic Traffic Assignment. - Kaveh Khoshkhah; Mozhgan Pourmoradnasseri; Sadok Ben Yahia; Amnir Hadachi (CoRR, 2023)

Transformer for multiple object tracking: Exploring locality to vision. - Shan Wu; Amnir Hadachi; Chaoru Lu; Damien Vivet (Pattern Recognit. Lett., 2023)

MOTT: A new model for multi-object tracking based on green learning paradigm. - Shan Wu; Amnir Hadachi; Chaoru Lu; Damien Vivet (AI Open, 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. - Artjom Lind; Shan Wu; Amnir Hadachi (Sensors, 2023)

A hidden Markov model method for non-stationary noise reduction: case study on Sentinel data for mowing detection. - Kaveh Khoshkhah; Kyrylo Medianovskyi; Dmitry Kolesnykov; Amnir Hadachi; Kaupo Voormansik (Signal Image Video Process., 2023)

Studying the Impact of Infrastructure on Cyclist Route Selection: Real-world Data Mining. - Merlin Raud; Amnir Hadachi; Rajesh Sharma; Flavio Bertini 001 (ICKG, 2024)

Knowledge Distillation Neural Network for Predicting Car-Following Behaviour of Human-Driven and Autonomous Vehicles. - Ayobami E. Adewale; Chris Lee; Amnir Hadachi; Nicolly Lima da Silva (ITSC, 2024)

Generative-AI based Map Representation and Localization. - Alireza Akhavi Zadegan; Amnir Hadachi (UrbanAI@SIGSPATIAL, 2024)

Mobility-Based Anomaly Detection in CDR Based Trajectories from the Mobile Cellular Network. - Tiit Vaino; Elis Kõivumägi; Amnir Hadachi (WiMob, 2024)

DELTA: Integrating Multimodal Sensing with Micromobility for Enhanced Sidewalk and Pedestrian Route Understanding. - Alireza Akhavi Zadegan; Damien Vivet; Amnir Hadachi (Sensors, 2024)

Decision-making in Urban Trajectories of Bike Users: a Preliminary Study. - Merlin Raud; Amnir Hadachi; Rajesh Sharma; Flavio Bertini 001 (EDBT/ICDT Workshops, 2025)

Leveraging Call Detail Records to Uncover Azimuth Configuration Errors in Cellular Networks. - Toivo Vajakas; Amnir Hadachi; Eero Vainikko (ICT, 2025)

Street2GIS: Multimodal Generative Framework for Pedestrian Infrastructure Mapping. - Alireza Akhavi Zadegan; José Medina; Amnir Hadachi (JURSE, 2025)

Refining Urban Microscopic Traffic Simulations Accuracy Using a Customized Random Walk Model for Dynamic Stochastic Route Choice. - Kaveh Khoshkhah; Mozhgan Pourmoradnasseri; Behzad Bamdad Mehrabani; Sadok Ben Yahia; Amnir Hadachi (SAC, 2025)

Mamba-PKD: A Framework for Efficient and Scalable Model Compression in Image Classification. - José Medina; Amnir Hadachi; Paul Honeine; Abdelaziz Bensrhair (SAC, 2025)

Mamba base PKD for efficient knowledge compression. - José Medina; Amnir Hadachi; Paul Honeine; Abdelaziz Bensrhair (CoRR, 2025)

A Taxonomy and Methodology for Proof-of-Location Systems. - Eduardo Brito; Fernando Castillo; Liina Kamm; Amnir Hadachi; Ulrich Norbisrath (CoRR, 2025)