Browsing by Author "Akbari, Younes"
Now showing items 1-8 of 8
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Attention-based Network for Image/Video Salient Object Detection
Elharrouss, Omar; Elkaitouni, Soukaina El Idrissi; Akbari, Younes; Al-Maadeed, Somaya; Bouridane, Ahmed (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 ... -
Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosis
Najmath, Ottakath; Akbari, Younes; Al-Maadeed, Somaya Ali; Bouridane, Ahmed; Zughaier, Susu M.; Chowdhury, Muhammad E.H.... more authors ... less authors ( 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 ... -
CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
Jayakanth, Kunhoth; Al Maadeed, Somaya; Saleh, Moutaz; Akbari, Younes ( 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 ... -
Edge Detection with multi-scale representation and refined Network
Elharrouss, Omar; Akbari, Younes; Al-Maadeed, Somaya; Bouridane, Ahmed ( Institution of Engineering and Technology , 2022 , Conference Paper)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 ... -
Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods
Jayakanth, Kunhoth; Al Maadeed, Somaya; Saleh, Moutaz; Akbari, Younes ( 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 ... -
A New Dataset for Forged Smartphone Videos Detection: Description and Analysis
Akbari, Younes; Najeeb, Al Anood; Al Maadeed, Somaya; Elharrouss, Omar; Khelifi, Fouad; Lawgaly, Ashref... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)The advancement of Internet technology has significantly impacted daily life, which is influenced by digital videos taken with smartphones as the most popular type of multimedia. These digital videos are extensively sent ... -
A New Framework for Smart Doors Using mmWave Radar and Camera-Based Face Detection and Recognition Techniques
Akbari, Younes; Al-Binali, Abdulaziz; Al-Mohannadi, Ali; Al-Hemaidi, Nawaf; Elharrouss, Omar; Al-Maadeed, Somaya... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)By integrating IoT technology, smart door locks can provide greater convenience, security, and remote access. This paper presents a novel framework for smart doors that combines face detection and recognition techniques ... -
PRNU Estimation based on Weighted Averaging for Source Smartphone Video Identification
Lawgaly, Ashref; Khelifi, Fouad; Bouridane, Ahmed; Al-Maaddeed, Somaya; Akbari, Younes ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Photo response non-uniformity (PRNU) noise is a sensor pattern noise characterizing imperfections in the imaging device. The PRNU is a unique noise for each sensor device, and it has been generally utilized in the literature ...