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Meirman Syzdykbayev
Meirman Syzdykbayev
University of Pittsburgh, School of Computing and Information
Verified email at pitt.edu - Homepage
Title
Cited by
Cited by
Year
Persistent homology on LiDAR data to detect landslides
M Syzdykbayev, B Karimi, HA Karimi
Remote Sensing of Environment 246, 111816, 2020
262020
An ontology for collaborative navigation among autonomous cars, drivers, and pedestrians in smart cities
M Syzdykbayev, H Hajari, HA Karimi
2019 4th International Conference on Smart and Sustainable Technologies …, 2019
162019
Personalized accessible wayfinding for people with disabilities through standards and open geospatial platforms in smart cities
B Wheeler, M Syzdykbayev, HA Karimi, R Gurewitsch, Y Wang
Open Geospatial Data, Software and Standards 5, 1-15, 2020
142020
A method for extracting some key terrain features from shaded relief of digital terrain models
M Syzdykbayev, B Karimi, HA Karimi
Remote Sensing 12 (17), 2809, 2020
102020
Persistent homology for detection of objects from mobile lidar point cloud data in autonomous vehicles
M Syzdykbayev, HA Karimi
Advances in Computer Vision: Proceedings of the 2019 Computer Vision …, 2020
42020
Geographically-explicit Ecological Momentary Assessment (GEMA) architecture and components: lessons learned from PMOMS
P Gharani, HA Karimi, M Syzdykbayev, LE Burke, SL Rathbun, EM Davis, ...
Informatics for Health and Social Care 46 (2), 158-177, 2021
32021
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Articles 1–6