Efficient texture-aware multi-GAN for image inpainting
MA Hedjazi, Y Genc - Knowledge-Based Systems, 2021 - Elsevier
Recent GAN-based (Generative adversarial networks) inpainting methods show remarkable
improvements and generate plausible images using multi-stage networks or Contextual …
improvements and generate plausible images using multi-stage networks or Contextual …
On identifying leaves: A comparison of CNN with classical ML methods
MA Hedjazi, I Kourbane, Y Genc - 2017 25th signal processing …, 2017 - ieeexplore.ieee.org
Convolution neural networks (CNNs) eliminate the need for feature extraction which is one
of the most important and time-consuming part of traditional machine learning (ML) methods. …
of the most important and time-consuming part of traditional machine learning (ML) methods. …
[HTML][HTML] Chlorogenic acid (CGA): A pharmacological review and call for further research
Phenolic acids have recently gained substantial attention due to their various practical,
biological and pharmacological effects. Chlorogenic Acid (CGA, 3-CQA) is a most abundant …
biological and pharmacological effects. Chlorogenic Acid (CGA, 3-CQA) is a most abundant …
A comparison of Hadoop, Spark and Storm for the task of large scale image classification
MA Hedjazi, I Kourbane, Y Genc… - 2018 26th Signal …, 2018 - ieeexplore.ieee.org
An image-based retrieval system (IRS) finds the most relevant images of a query among all
the images in the database. When the size of the database exceeds the storage capacity of a …
the images in the database. When the size of the database exceeds the storage capacity of a …
Image inpainting using scene constraints
MA Hedjazi, Y Genc - Signal Processing: Image Communication, 2021 - Elsevier
Recent deep learning-based inpainting methods have shown significant improvements and
generate plausible images. However, most of these methods may either synthesis …
generate plausible images. However, most of these methods may either synthesis …
Learning to inpaint by progressively growing the mask regions
M Abbas Hedjazi, Y Genc - Proceedings of the IEEE/CVF …, 2019 - openaccess.thecvf.com
Image inpainting is one of the most challenging tasks in computer vision. Recently,
generative-based image inpainting methods have been shown to produce visually plausible images. …
generative-based image inpainting methods have been shown to produce visually plausible images. …
Single image calibration using knowledge distillation approaches
KO Amer, O Hadjerci, MA Hedjazi… - arXiv preprint arXiv …, 2022 - arxiv.org
Although recent deep learning-based calibration methods can predict extrinsic and intrinsic
camera parameters from a single image, their generalization remains limited by the number …
camera parameters from a single image, their generalization remains limited by the number …
Single image calibration using knowledge distillation approaches
K Ould Amer, O Hadjerci, MA Hedjazi… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Although recent deep learning-based calibration methods can predict extrinsic and intrinsic
camera parameters from a single image, their generalization remains limited by the number …
camera parameters from a single image, their generalization remains limited by the number …
Detection, location, and diagnosis of different faults in large solar PV system—a review
…, A Sahoo, CA Saleel, M Abbas… - … Journal of Low …, 2023 - academic.oup.com
Over the past decade, the significance of solar photovoltaic (PV) system has played a major
role due to the rapid growth in the solar PV industry. Reliability, efficiency and safety of solar …
role due to the rapid growth in the solar PV industry. Reliability, efficiency and safety of solar …
[HTML][HTML] Numerical study of Carreau fuzzy nanofluid across a stretching cylinder using a modified version of Buongiorno's nanofluid model
…, K Loganathan, K Prabu, M Abbas… - Alexandria Engineering …, 2024 - Elsevier
The principal intention of the currently analysis is to investigate the impacts of the naturally
convective nanofluid using a model of Carreau fluid with engine oil ( C n H 2 n + 2 ) as the …
convective nanofluid using a model of Carreau fluid with engine oil ( C n H 2 n + 2 ) as the …