Pouria Sadeghi-Tehran

发表

A Nested Hierarchy of Dynamically Evolving Clouds for Big Data Structuring and Searching

Plamen P. Angelov, Pouria Sadeghi-Tehran, 2015, INNS Conference on Big Data.

Multi-feature machine learning model for automatic segmentation of green fractional vegetation cover for high-throughput field phenotyping

Pouria Sadeghi-Tehran, Nicolas Virlet, Kasra Sabermanesh, 2017, Plant Methods.

Self-evolving parameter-free Rule-based Controller

Héctor Pomares, Ignacio Rojas, Plamen P. Angelov, 2012, 2012 IEEE International Conference on Fuzzy Systems.

ARTOT: Autonomous real-time object detection and tracking by a moving camera

Plamen P. Angelov, Tsvetan Ivanov, Pouria Sadeghi-Tehran, 2012, 2012 6th IEEE International Conference Intelligent Systems.

A real-time approach for autonomous detection and tracking of moving objects from UAV

Pouria Sadeghi-Tehran, Plamen Angelov, Christopher Clarke, 2014, 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS).

Scalable Database Indexing and Fast Image Retrieval Based on Deep Learning and Hierarchically Nested Structure Applied to Remote Sensing and Plant Biology

Plamen Angelov, Pouria Sadeghi-Tehran, Nicolas Virlet, 2019, J. Imaging.

Self-evolving parameter-free Rule-based Controller:SPARC

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2012 .

Online self-evolving fuzzy controller for autonomous mobile robots

Plamen P. Angelov, Pouria Sadeghi-Tehran, 2011, 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS).

AURORA: autonomous real-time on-board video analytics

Plamen Angelov, Christopher Clarke, Pouria Sadeghi-Tehran, 2017, Neural Computing and Applications.

DeepCount: In-Field Automatic Quantification of Wheat Spikes Using Simple Linear Iterative Clustering and Deep Convolutional Neural Networks

Pouria Sadeghi-Tehran, Nicolas Virlet, Malcolm J. Hawkesford, 2019, Front. Plant Sci..

A real-time approach to autonomous novelty detection and object tracking in video stream

Ramin Ramezani, Plamen Angelov, Pouria Sadeghi-Tehran, 2011 .

An approach to automatic real‐time novelty detection, object identification, and tracking in video streams based on recursive density estimation and evolving Takagi–Sugeno fuzzy systems

Plamen P. Angelov, Ramin Ramezani, Pouria Sadeghi-Tehran, 2011, Int. J. Intell. Syst..

SARIVA : Smartphone APP for Real-time Intelligent Video Analytics

Pouria Sadeghi-Tehran, Plamen Angelov, Christopher T. Clarke, 2014 .

Look‐a‐Like: A Fast Content‐Based Image Retrieval Approach Using a Hierarchically Nested Dynamically Evolving Image Clouds and Recursive Local Data Density

Pouria Sadeghi-Tehran, Plamen Angelov, P. Angelov, 2017, Int. J. Intell. Syst..

Automatic methods for videostreams analysis and self-evolving controllers

Pouria Sadeghi-Tehran, 2012 .

Automated Method to Determine Two Critical Growth Stages of Wheat: Heading and Flowering

Pouria Sadeghi-Tehran, Nicolas Virlet, Kasra Sabermanesh, 2017, Front. Plant Sci..

ATDT: Autonomous Template-Based Detection and Tracking of Objects from Airborne Camera

Plamen P. Angelov, Pouria Sadeghi-Tehran, P. Angelov, 2014, IEEE Conf. on Intelligent Systems.

A real-time approach for novelty detection and trajectories analysis for anomaly recognition in video surveillance systems

Plamen P. Angelov, Pouria Sadeghi-Tehran, 2012, 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems.

Autonomous visual self-localization in completely unknown environment

Plamen P. Angelov, Javier Andreu, Pouria Sadeghi-Tehran, 2012, EAIS.

A Fast Recursive Approach to Autonomous Detection, Identification and Tracking of Multiple Objects in Video Streams under Uncertainties

Plamen P. Angelov, Ramin Ramezani, Pouria Sadeghi-Tehran, 2010, IPMU.

Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity pdf

Frédéric Baret, Ian Stavness, Pouria Sadeghi-Tehran, 2021, ArXiv.

A Neural Network Method for Classification of Sunlit and Shaded Components of Wheat Canopies in the Field Using High-Resolution Hyperspectral Imagery

Pouria Sadeghi-Tehran, Nicolas Virlet, Malcolm J. Hawkesford, 2021, Remote. Sens..

ARTOD: Autonomous Real Time Objects Detection by a Moving Camera Using Recursive Density Estimation

Plamen Angelov, Pouria Sadeghi-Tehran, P. Angelov, 2016 .