Pouria Sadeghi-Tehran
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Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring
N Virlet, K Sabermanesh, P Sadeghi-Tehran, MJ Hawkesford
Functional Plant Biology 44 (1), 143-153, 2017
An approach to automatic real‐time novelty detection, object identification, and tracking in video streams based on recursive density estimation and evolving Takagi–Sugeno …
P Angelov, P Sadeghi‐Tehran, R Ramezani
International Journal of Intelligent Systems 26 (3), 189-205, 2011
Automated method to determine two critical growth stages of wheat: heading and flowering
P Sadeghi-Tehran, K Sabermanesh, N Virlet, MJ Hawkesford
Frontiers in Plant Science 8, 252, 2017
Self-evolving parameter-free rule-based controller
P Sadeghi-Tehran, AB Cara, P Angelov, H Pomares, I Rojas, A Prieto
2012 IEEE International Conference on Fuzzy Systems, 1-8, 2012
Multi-feature machine learning model for automatic segmentation of green fractional vegetation cover for high-throughput field phenotyping
P Sadeghi-Tehran, N Virlet, K Sabermanesh, MJ Hawkesford
Plant methods 13 (1), 103, 2017
Deepcount: in-field automatic quantification of wheat spikes using simple linear iterative clustering and deep convolutional neural networks
P Sadeghi-Tehran, N Virlet, EM Ampe, P Reyns, MJ Hawkesford
Frontiers in plant science 10, 1176, 2019
Online self-evolving fuzzy controller for autonomous mobile robots
P Sadeghi-Tehran, P Angelov
2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS), 100-107, 2011
A real-time approach for autonomous detection and tracking of moving objects from UAV
P Sadeghi-Tehran, C Clarke, P Angelov
2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS), 43-49, 2014
AURORA: autonomous real-time on-board video analytics
P Angelov, P Sadeghi-Tehran, C Clarke
Neural Computing and Applications 28 (5), 855-865, 2017
ARTOT: Autonomous real-time object detection and tracking by a moving camera
P Angelov, C Gude, P Sadeghi-Tehran, T Ivanov
2012 6th IEEE International Conference Intelligent Systems, 446-452, 2012
A fast recursive approach to autonomous detection, identification and tracking of multiple objects in video streams under uncertainties
P Sadeghi-Tehran, P Angelov, R Ramezani
International Conference on Information Processing and Management of …, 2010
Scalable database indexing and fast image retrieval based on deep learning and hierarchically nested structure applied to remote sensing and plant biology
P Sadeghi-Tehran, P Angelov, N Virlet, MJ Hawkesford
Journal of Imaging 5 (3), 33, 2019
Look‐a‐like: a fast content‐based image retrieval approach using a hierarchically nested dynamically evolving image clouds and recursive local data density
P Angelov, P Sadeghi‐Tehran
International Journal of Intelligent Systems 32 (1), 82-103, 2017
A real-time approach for novelty detection and trajectories analysis for anomaly recognition in video surveillance systems
P Sadeghi-Tehran, P Angelov
2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 108-113, 2012
A real-time approach to autonomous novelty detection and object tracking in video stream
P Angelov, P Sadeghi-Tehran, R Ramezani
International Journal of Intelligent Systems 26 (3), 189-205, 2011
Autonomous visual self-localization in completely unknown environment
P Sadeghi-Tehran, S Behera, P Angelov, J Andreu
2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 90-95, 2012
ARTOD: autonomous real time objects detection by a moving camera using recursive density estimation
P Sadeghi-Tehran, P Angelov
Novel applications of intelligent systems, 123-138, 2016
Digital field phenotyping by LemnaTec
T Dornbusch, M Hawkesford, M Jansen, K Nagel, B Niehaus, S Paulus, ...
Aachen: LemnaTec, 2015
A nested hierarchy of dynamically evolving clouds for big data structuring and searching
P Angelov, P Sadeghi-Tehran
Procedia Computer Science 53, 1-8, 2015
ATDT: autonomous template-based detection and tracking of objects from airborne camera
P Sadeghi-Tehran, P Angelov
Intelligent Systems' 2014, 555-565, 2015
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