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    Browsing by Author "Bouridane, Ahmed"

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        3D Gaussian Descriptor for Video-based Person Re-Identification 

        Riachy, Chirine; Al-Maadeed, Noor; Organisciak, Daniel; Khelifi, Fouad; Bouridane, Ahmed ( Vaclav Skala Union Agency , 2019 , Conference)
        Despite being often considered less challenging than image-based person re-identification (re-id), video-based person re-id is still appealing as it mimics a more realistic scenario owing to the availability of pedestrian ...
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        Automated vehicle density estimation from raw surveillance videos 

        Mehboob, Fozia; Abbas, Muhammad; Jiang, Richard; Tahir, Muhammad Atif; Al-Maadeed, Somaya; Bouridane, Ahmed... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference)
        To enable an effective traffic management and signal control, it is important to know the road traffic density. In recent years, video surveillance based systems and monitoring tools have been widely used for obtaining ...
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        Automatic detection and classification of audio events for road surveillance applications 

        Almaadeed, N.; Almaadeed, Noor; Asim, Muhammad; Al-Maadeed, Somaya; Bouridane, Ahmed; Beghdadi, Azeddine... more authors ... less authors ( MDPI , 2018 , Article)
        © 2018 by the author. Licensee MDPI, Basel, Switzerland. This work investigates the problem of detecting hazardous events on roads by designing an audio surveillance system that automatically detects perilous situations ...
      • 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 ...
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        Breast cancer detection based on histological images using fusion of diffusion model outputs 

        Akbari, Younes; Abdullakutty, Faseela; Al Maadeed, Somaya; Bouridane, Ahmed; Hamoudi, Rifat ( 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 ...
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        Car Make And Model Detection System 

        Al-maadeed, Somaya; Boubezari, Rayana; Kunhoth, Suchithra; Bouridane, Ahmed ( Hamad bin Khalifa University Press (HBKU Press) , 2014 , Conference)
        The deployment of highly intelligent and efficient machine vision systems accomplished to achieve new heights in multiple fields of human activity. A successful replacement of manual intervention with their automated systems ...
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        Digitization and spectral analysis of Historical Manuscripts 

        Al Maadeed, Somaya; Kunhoth, Suchithra; Bouridane, Ahmed ( IEEE , 2014 , Conference)
        Digitization is an efficient means of preserving the rare historical records led to the development of a large number of digital libraries across the world. Choice of the suitable imaging equipment, storage format, and ...
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        Direct unsupervised text line extraction from colored historical manuscript images using DCT 

        Baig, Asim; Al-Maadeed, Somaya; Bouridane, Ahmed; Cheriet, Mohamed ( Springer Verlag , 2016 , Conference)
        Extracting lines of text from a manuscript is an important preprocessing step in many digital paleography applications. These extracted lines play a fundamental part in the identification of the author and/or age of the ...
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        Efficient Quantum Image Classification Using Single Qubit Encoding 

        Easom-McCaldin, Philip; Bouridane, Ahmed; Belatreche, Ammar; Jiang, Richard; Al-maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
        The domain of image classification has been seen to be dominated by high-performing deep-learning (DL) architectures. However, the success of this field, as seen over the past decade, has resulted in the complexity of ...
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        Emotion recognition from scrambled facial images via many graph embedding 

        Jiang, Richard; Ho, Anthony T.S.; Cheheb, Ismahane; Al-Maadeed, Noor; Al-Maadeed, Somaya; Bouridane, Ahmed... more authors ... less authors ( Elsevier Ltd , 2017 , Article)
        Facial expression verification has been extensively exploited due to its wide application in affective computing, robotic vision, man-machine interaction and medical diagnosis. With the recent development of Internet-of-Things ...
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        Exploring Classification Models for Video Source Device Identification: A Study of CNN-SVM and Softmax Classifier 

        Ottakath, Najmath; Akbari, Younes; Al-Maadeed, Somaya; Bouridane, Ahmed; Khelifi, Fouad ( 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 ...
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        Face Recognition in the Scrambled Domain via Salience-Aware Ensembles of Many Kernels 

        Jiang, Richard; Al-Maadeed, Somaya; Bouridane, Ahmed; Crookes, Danny; Celebi, M. Emre ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)
        With the rapid development of Internet-of-Things (IoT), face scrambling has been proposed for privacy protection during IoT-targeted image/video distribution. Consequently, in these IoT applications, biometric verification ...
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        Gait recognition based on modified phase-only correlation 

        Rida, Imad; Almaadeed, Somaya; Bouridane, Ahmed ( Springer-Verlag London Ltd , 2016 , Article)
        Gait recognition is an emerging biometric technology aiming to identify people purely through the analysis of the way they walk. The technology has attracted interest as a method of identification because it is noncontact ...
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        Glandular structure-guided classification of microscopic colorectal images using deep learning 

        Awan, Ruqayya; Al-Maadeed, Somaya; Al-Saady, Rafif; Bouridane, Ahmed ( Elsevier Ltd , 2019 , Article)
        In this work, we propose to automate the pre-cancerous tissue abnormality analysis by performing the classification of image patches using a novel two-stage convolutional neural network (CNN) based framework. Rather than ...
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        Low-quality facial biometric verification via dictionary-based random pooling 

        Al-Maadeed, Somaya; Bourif, Mehdi; Bouridane, Ahmed; Jiang, Richard ( Elsevier Ltd , 2016 , Article)
        In the past decade, visual surveillance has emerged as an effective tool in public security applications. Due to the technical limitations of both surveillance cameras and transmission speed, videos collected from surveillance ...
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        Measuring and optimising performance of an offline text writer identification system in terms of dimensionality reduction techniques 

        Durou, Amal; Aref, Ibrahim; Elbendak, Mosa; Al-Maadeed, Sumaya; Bouridane, Ahmed ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference)
        Usually, most of the data generated in real-world such as images, speech signals, or fMRI scans has a high dimensionality. Therefore, dimensionality reduction techniques can be used to reduce the number of variables in ...
      • MSEUnet: Refined Intima-media segmentation of the carotid artery based on a multi-scale approach using patch-wise dice loss 

        Ottakath, Najmath; Akbari, Younes; Maadeed, Somaya Al; Chowdhury, Mohammad E.H.; Zughaier, Susu; Bouridane, Ahmed; Sadasivuni, Kishor Kumar... more authors ... less authors ( Elsevier , 2025 , Article)
        Carotid artery stenosis risk stratification is one of the most sought-after methods for diagnosing the chances of stroke. There is an inherent requirement to identify the risk before its onset through techniques such as ...
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        Multi-descriptor random sampling for patch-based face recognition 

        Cheheb, Ismahane; Al-Maadeed, Noor; Bouridane, Ahmed; Beghdadi, Azeddine; Jiang, Richard ( MDPI AG , 2021 , Article)
        While there has been a massive increase in research into face recognition, it remains a challenging problem due to conditions present in real life. This paper focuses on the inherently present issue of partial occlusion ...
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        Multispectral imaging and machine learning for automated cancer diagnosis 

        Al Maadeed, Somaya; Kunhoth, Suchithra; Bouridane, Ahmed; Peyret, Remy ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference)
        Advancing technologies in the current era paved a lot to break the hurdles in medical diagnostic field. When cancer turned out to be the most common and dangerous disease of the age, novel diagnostic methodologies were ...
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        Multispectral palmprint recognition based on local binary pattern histogram fourier features and gabor filter 

        El-Tarhouni, Wafa; Boubchir, Larbi; Al-Maadeed, Noor; Elbendak, Mosa; Bouridane, Ahmed ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference)
        Fusing multiple features within one biometric modality has attracted increasing attention and interest among researchers during recent decades because the concept is useful in addressing a wide range of real world problems. ...

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