Amnir Hadachi
Amnir Hadachi
ITS Lab, Institute of Computer Science, University of Tartu, Estonia
Verified email at - Homepage
Cited by
Cited by
Cell phone subscribers mobility prediction using enhanced Markov Chain algorithm
A Hadachi, O Batrashev, A Lind, G Singer, E Vainikko
2014 IEEE Intelligent Vehicles Symposium Proceedings, 1049-1054, 2014
Real-time vehicles tracking based on mobile multi-sensor fusion
S Plangi, A Hadachi, A Lind, A Bensrhair
IEEE Sensors Journal 18 (24), 10077-10084, 2018
An application of the sequential Monte Carlo to increase the accuracy of travel time estimation in urban areas
A Hadachi, C Lecomte, S Mousset, A Bensrhair
2011 14th International IEEE Conference on Intelligent Transportation …, 2011
A new approach for mobile positioning using the CDR data of cellular networks
A Lind, A Hadachi, O Batrashev
2017 5th IEEE International Conference on Models and Technologies for …, 2017
Approach to estimate travel time using sparsely sampled GPS data in urban networks
A Hadachi, S Mousset, A Bensrhair
Electronics letters 49 (15), 957-958, 2013
Spatio-Temporal Mobility Analysis for Community Detection in the Mobile Networks Using CDR Data
A Lind, A Hadachi, P Piksarv, O Batrashev
The 9th International Congress on Ultra Modern Telecommunications and …, 2017
Exploring a new model for mobile positioning based on CDR data of the cellular networks
A Hadachi, A Lind
arXiv preprint arXiv:1902.09399, 2019
Mobile Big Data: Foundations, State-of-the-Art, and Future Directions
C Chang, A Hadachi, SN Srirama, M Mart
Encyclopedia of Big Data Technologies, 2018
Mobility episode detection from CDR's data using switching Kalman filter
O Batrashev, A Hadachi, A Lind, E Vainikko
Proceedings of the Fourth ACM SIGSPATIAL International Workshop on Mobile …, 2015
Practical testing application of travel time estimation using applied Monte Carlo Method and adaptive estimation from probes
A Hadachi, S Mousset, A Bensrhair
2012 IEEE Intelligent Vehicles Symposium, 1078-1083, 2012
Adaptive edge process migration for iot in heterogeneous cloud-fog-edge computing environment
C Chang, A Hadachi, S Srirama
arXiv preprint arXiv:1811.10939, 2018
From mobility analysis to mobility hubs discovery: A concept based on using CDR data of the mobile networks
A Hadachi, A Lind, J Lomps, P Piksarv
2018 10th International Congress on Ultra Modern Telecommunications and …, 2018
Travel Time Estimation Using Sparsely Sampled Probe GPS Data in Urban Road Networks Context
A Hadachi
Mobility Episode Discovery in the Mobile Networks Based on Enhanced Switching Kalman Filter
T Vajakas, T Kiis, A Hadachi, E Vainikko
2018 10th International Congress on Ultra Modern Telecommunications and …, 2018
The Impact of Morphological Processing and Feature Selection on Handwriting Recognition Accuracy
J Lomps, A Hadachi
The 4th international Conference on Multimedia, Scientific Information and …, 2017
Real time movement labelling of mobile event data
E Kõivumägi, M Vait, A Hadachi, G Singer, E Vainikko
Journal of Location Based Services 9 (1), 55-76, 2015
Evaluating Clustering Techniques
D Timašjov, A Hadachi
Adaptive Edge Process Migration for IoT in Heterogeneous Fog and Edge Computing Environments
C Chang, A Hadachi, SN Srirama
International Journal of Mobile Computing and Multimedia Communications …, 2020
Mobile Fog Computing
C Chang, A Hadachi, J Mass, SN Srirama
Fog Computing: Theory and Practice, 1-41, 2020
Neural Networks Model for Travel Time Prediction Based on ODTravel Time Matrix
AE Adewale, A Hadachi
arXiv preprint arXiv:2004.04030, 2020
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