Search Results - "Latrache, Houda"
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1
Urban Characterization Based On Recent Incoherent Polarimetric Decompositions
Published in 2023 International Conference on Earth Observation and Geo-Spatial Information (ICEOGI) (22-05-2023)“…This paper intends to characterize the urban area from PolSAR data using the incoherent Polarimetric Decomposition (PD) methods. These methods contribute…”
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Conference Proceeding -
2
USTHB at NADI 2023 shared task: Exploring Preprocessing and Feature Engineering Strategies for Arabic Dialect Identification
Published 16-12-2023“…In this paper, we conduct an in-depth analysis of several key factors influencing the performance of Arabic Dialect Identification NADI'2023, with a specific…”
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Journal Article -
3
PolSAR Data Classification Using Extreme Gradient Boosting Classifier
Published in 2023 International Conference on Earth Observation and Geo-Spatial Information (ICEOGI) (22-05-2023)“…This work explored the extreme gradient boosting classifier (XGBoost) to classify land cover using PolSAR (Polarimetric Synthetic aperture radar) data. The…”
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Conference Proceeding -
4
A New Binarization Method For Degraded Printed Document Images
Published in 2021 International Conference on Information Systems and Advanced Technologies (ICISAT) (27-12-2021)“…In this work, we propose a new method to binarize the degraded printed images. This binarization use the texture information calculated from the edge image to…”
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Conference Proceeding -
5
Printed Arabic Characters Recognition Using Combined Features and CNN classifier
Published in 2021 International Conference on Recent Advances in Mathematics and Informatics (ICRAMI) (21-09-2021)“…In this paper we investigate the optical characters recognition for Arabic language (AOCR). This system is considered as a challenging research topic due to…”
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Conference Proceeding -
6
Arabic Handwritten Text to Line Segmentation
Published in 2021 International Conference on Information Systems and Advanced Technologies (ICISAT) (27-12-2021)“…Text to line segmentation is a crucial phase in character recognition system since segmentation errors affects the recognition accuracy. In this work we…”
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Conference Proceeding