Browsing by Author "Akbari, Younes"
Now showing items 1-20 of 28
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A Robust Ensemble Model for Plant Disease Detection Using Deep Learning Architectures
( Multidisciplinary Digital Publishing Institute (MDPI) , 2025 , Article)This study explores advanced methods for plant disease classification by integrating pre-trained deep learning models and leveraging ensemble learning. After a comprehensive review of deep learning methods in this area, ... -
A vision-based zebra crossing detection method for people with visual impairments
( IEEE , 2020 , Conference)Safe navigation for visually impaired is challenging without assistive technology. This paper proposes a pedestrian crossing detection approach to help visually impaired people. We introduce the use of multiple convolutional ... -
Attention-based Network for Image/Video Salient Object Detection
(2023 , Article)The goal of video or image salient object detection is to identify the most important object in the scene, which can be helpful in many computer vision-based tasks. As the human vision framework has a successful capacity ... -
Automated systems for diagnosis of dysgraphia in children: a survey and novel framework
( Springer Science and Business Media Deutschland GmbH , 2024 , Article)Learning disabilities, which primarily interfere with basic learning skills such as reading, writing, and math, are known to affect around 10% of children in the world. The poor motor skills and motor coordination as part ... -
Backbones-review: Feature extractor networks for deep learning and deep reinforcement learning approaches in computer vision
( Elsevier Ireland Ltd , 2024 , Article)To understand the real world using various types of data, Artificial Intelligence (AI) is the most used technique nowadays. While finding the pattern within the analyzed data represents the main task. This is performed by ... -
Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosis
( Elsevier , 2024 , Article)The carotid artery is a vital blood vessel that supplies oxygenated blood to the brain. Blockages in this artery can lead to life-threatening illnesses, making accurate diagnosis essential. While ultrasound (US) imaging ... -
Breast cancer detection based on histological images using fusion of diffusion model outputs
( Nature Research , 2025 , Article)The precise detection of breast cancer in histopathological images remains a critical challenge in computational pathology, where accurate tissue segmentation significantly enhances diagnostic accuracy. This study introduces ... -
Breast Cancer Detection Based on Histopathological Images Using Vision Transformers
( IEEE , 2024 , Conference)Breast cancer is a prevalent and potentially fatal malignancy in women, requiring continual improvements in diagnostic techniques. In order to help medical personnel accurately detect dangerous tumors, automated medical ... -
CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
( Elsevier , 2023 , Article)Dysgraphia is a neurological disorder that hinders the acquisition process of normal writing skills in children, resulting in poor writing abilities. Poor or underdeveloped writing skills in children can negatively impact ... -
Digital forensic analysis for source video identification: A survey
( Elsevier , 2022 , Article Review)In recent years, many digital devices have been equipped with a video camera that allows videos to be recorded in good quality, free of charge and without restrictions. Concurrently, the widespread use of digital videos ... -
Edge Detection with multi-scale representation and refined Network
( Institution of Engineering and Technology , 2022 , Conference)Edge detection is a representation of boundaries between objects and regions in an image. Due to the variations of types, scales, intensities as well as background, the detection of these boundaries represents a challenge ... -
Enhancing the Prediction of Breast Cancer Progression Through Multi-modal Data Transformation
( Springer , 2025 , Article)The ability to predict breast cancer metastases is essential for making effective clinical decisions and managing patients. Traditional models predominantly rely on structured clinical data, which often lacks essential ... -
Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods
( Elsevier , 2023 , Article)Dysgraphia is a type of learning disorder that affects children’s writing skills. Poor writing skills can obstruct students’ academic growth if it is undiagnosed and untreated properly in the early stages. The irregularity ... -
Exploring Classification Models for Video Source Device Identification: A Study of CNN-SVM and Softmax Classifier
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)Video Source device identification plays a crucial role in video forensics as the proliferation of video capturing devices has given rise to crimes with videos that are challenging to trace. Reliance on metadata extraction ... -
Feature fusion based on joint sparse representations and wavelets for multiview classification
( Springer Science and Business Media Deutschland GmbH , 2022 , Article)Feature-level-based fusion has attracted much interest. Generally, a dataset can be created in different views, features, or modalities. To improve the classification rate, local information is shared among different views ... -
Hierarchical Fusion Using Subsets of Multi-Features for Historical Arabic Manuscript Dating
( MDPI , 2022 , Article)Automatic dating tools for historical documents can greatly assist paleographers and save them time and effort. This paper describes a novel method for estimating the date of historical Arabic documents that employs ... -
Histopathology in focus: a review on explainable multi-modal approaches for breast cancer diagnosis
( Frontiers Media SA , 2024 , Article Review)Precision and timeliness in breast cancer detection are paramount for improving patient outcomes. Traditional diagnostic methods have predominantly relied on unimodal approaches, but recent advancements in medical data ... -
Image Inpainting: A Review
( Springer , 2019 , Article)Although image inpainting, or the art of repairing the old and deteriorated images, has been around for many years, it has recently gained even more popularity, because of the recent development in image processing techniques. ... -
Indoor Multi-Lingual Scene Text Database with Different Views
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)This paper introduces a database of multi-script (Arabic and English) for indoor scene text detection, taken from different angle-of-view. This database can be used in a variety of real-world applications, such as image ... -
Integrating binary classification and clustering for multi-class dysarthria severity level classification: a two-stage approach
( Springer , 2025 , Article)Dysarthria, a motor speech disorder, poses challenges in accurate severity assessment. Recent research has excelled in classifying dysarthria based on severity levels, primarily utilizing annotated datasets and achieving ...
