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 | 51 | 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 | 34 | 2018 |
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 | 27 | 2017 |
OD-matrix extraction based on trajectory reconstruction from mobile data M Pourmoradnasseri, K Khoshkhah, A Lind, A Hadachi 2019 International Conference on Wireless and Mobile Computing, Networking …, 2019 | 15 | 2019 |
Spatio-temporal mobility analysis for community detection in the mobile networks using CDR data A Lind, A Hadachi, P Piksarv, O Batrashev 2017 9th International Congress on Ultra Modern Telecommunications and …, 2017 | 11 | 2017 |
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 | 11 | 2015 |
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 | 10 | 2019 |
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 | 10 | 2018 |
A Combined System Metrics Approach to Cloud Service Reliability Using Artificial Intelligence TR Chhetri, CK Dehury, A Lind, SN Srirama, A Fensel Big Data and Cognitive Computing 6 (1), 26, 2022 | 8 | 2022 |
Object segmentation for autonomous driving using iseAuto data J Gu, M Bellone, R Sell, A Lind Electronics 11 (7), 1119, 2022 | 7 | 2022 |
Evaluation of the robustness of visual slam methods in different environments J Lomps, A Lind, A Hadachi arXiv preprint arXiv:2009.05427, 2020 | 5 | 2020 |
End-to-End Multimodal Sensor Dataset Collection Framework for Autonomous Vehicles J Gu, A Lind, TR Chhetri, M Bellone, R Sell Preprints, 2023 | 4 | 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 A Lind, S Wu, A Hadachi Sensors 23 (7), 3603, 2023 | 2 | 2023 |
Towards state-full positioning of mobile subscribers through advanced cell coverage modeling technique A Lind, A Hadachi 2021 International Conference on Localization and GNSS (ICL-GNSS), 1-6, 2021 | 2 | 2021 |
HPC Cloud traces for better cloud service reliability CK Dehury, TR Chhetri, A Lind, SN Srirama, A Fensel Semantic Technology Institute (STI) Innsbruck, Department of Computer …, 2021 | 1 | 2021 |
Introducing cellular network layer into sumo for simulating vehicular mobile devices’ interactions in urban environment ST Marran, A Lind, A Hadachi 4th International Conference on Vehicle Technology and Intelligent Transport …, 2018 | 1 | 2018 |
Camera-LiDAR Fusion based Object Segmentation in Adverse Weather Conditions for Autonomous Driving J Gu, M Bellone, A Lind 2024 19th Biennial Baltic Electronics Conference (BEC), 1-5, 2024 | | 2024 |
Object Segmentation for Autonomous Driving Using iseAuto Data. Electronics 2022, 11, 1119 J Gu, M Bellone, R Sell, A Lind s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
CDR Based Trajectories: Tentative for Filtering Ping-pong Handover J Lõmps, A Lind, A Hadachi arXiv preprint arXiv:2105.00526, 2021 | | 2021 |
Object Segmentation for Autonomous Driving Using iseAuto Data. Electronics 2022, 1, 0 J Gu, M Bellone, R Sell, A Lind networks 111, 125-131, 2019 | | 2019 |