Browsing by Author "Al-Maadeed, S."
Now showing items 1-20 of 39
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A Bilingual Scene-To-Speech Mobile Based Application
Karkar A.; Puthren M.; Al-Maadeed S. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Scene-To-Speech (STS) is the process of recognizing visual objects in a picture or a video to say aloud a descriptive text that represents the scene. The recent advancement in convolution neural network (CNN), a deep ... -
A Comparative Study of Machine Learning Approaches for Handwriter Identification
Durou A.; Al-Maadeed S.; Aref I.; Bouridane A.; Elbendak M. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)During the past few years, writer identification has attracted significant interest due to its real-life applications including document analysis, forensics etc. Machine learning algorithms have played an important role ... -
A Deep Learning Based Automatic Severity Detector for Diabetic Retinopathy
AlSaad R.; Al-Maadeed S.; Al Mamun M.A.; Boughorbel S. ( Springer Verlag , 2018 , Conference Paper)Automated Diabetic Retinopathy (DR) screening methods with high accuracy have the strong potential to assist doctors in evaluating more patients and quickly routing those who need help to a specialist. In this work, we ... -
A Key Frame Based Video Summarization using Color Features
Asim M.; Almaadeed N.; Al-Maadeed S.; Bouridane A.; Beghdadi A. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)The rapid development of digital video has opened ways for several multimedia applications. A huge amount of video data is uploaded on internet on daily basis, which, consumes additional internet bandwidth and storage ... -
A Mobile System for Historical Manuscripts Capturing, Recognition and Classification
Al-Maadeed S.; Aikadiry M.; Shaar M.; Alja'Am J.M. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)This paper proposes a mobile system to capture, recognize and classify historical manuscripts automatically. The user can take a snapshot of a manuscript through his/her mobile camera and send to a dedicated server. An ... -
A Novel Efficient Classwise Sparse and Collaborative Representation for Holistic Palmprint Recognition
Rida I.; Al Maadeed N.; Al Maadeed S. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Palmprint recognition is an important and widely used modality in biometric systems. It has a high reliability, stability and user acceptability. Although the discriminative ability of the existing state-of-the-art holistic ... -
Action recognition in poor-quality spectator crowd videos using head distribution-based person segmentation
Mahmood A.; Al-Maadeed S. ( Springer Verlag , 2019 , Article)Despite a big volume of research on action recognition, little attention has been given to individual action recognition in poor-quality spectator crowd scenes. It is an important scenario, because most of the surveillance ... -
An Ensemble Learning Method Based on Random Subspace Sampling for Palmprint Identification
Rida I.; Maadeed S.A.; Jiang X.; Lunke F.; Bensrhair A. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Palmprint recognition is an important and widely used biometric modality with high reliability, stability and user acceptability. In this paper we propose a simple and effective ensemble learning method for palmprint ... -
An evidence base for school health policy during the covid-19 pandemic
Badran, S.; Musa, O.A.H.; Al-Maadeed, S.; Toft, E.; Doi, S.A. ( Paris Scholar Publishing , 2021 , Article)Objective: Children represent a small fraction of confirmed COVID-19 cases, with a low case fatality rate (CFR). In this paper, we lay out an evidence-based policy for reopening schools. Methods: We gathered age-specific ... -
An information fusion framework for person localization via body pose in spectator crowds
Shaban M.; Mahmood A.; Al-Maadeed S.A.; Rajpoot N. ( Elsevier B.V. , 2019 , Article)Person localization or segmentation in low resolution crowded scenes is important for person tracking and recognition, action detection and anomaly identification. Due to occlusion and lack of inter-person space, person ... -
Arabic Bank Cheque Words Recognition Using Gabor Features
Al-Nuzaili Q.; Al-Maadeed S.; Hassen H.; Hamdi A. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Arabic cheque processing is one of the important applications of handwriting recognition. The recognition of Arabic Cheque bank is still awaiting lots of work in its constituent stages, which include pre-processing, feature ... -
Automatic classification of colorectal and prostatic histologic tumor images using multiscale multispectral local binary pattern texture features and stacked generalization
Peyret R.; Bouridane A.; Khelifi F.; Tahir M.A.; Al-Maadeed S. ( Elsevier B.V. , 2018 , Article)This paper proposes a new multispectral multiscale local binary pattern feature extraction method for automatic classification of colorectal and prostatic tumor biopsies samples. A multilevel stacked generalization ... -
Bidirectional Parallel Capacitive Data Links: Modeling and Experimental Results
Sawma C.; Hassan A.; Kassem A.; Al-Maadeed S.; Sawan M. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)We present, in this paper, a bidirectional capacitive data link. Enhancement of the spatial pulse position modulation used on the downlink is introduced, and a load-shift keying modulation is implemented for the uplink. ... -
Comparative analysis of computer-vision and BLE technology based indoor navigation systems for people with visual impairments
Kunhoth J.; Karkar A.; Al-Maadeed S.; Al-Attiyah A. ( BioMed Central Ltd. , 2019 , Article)Background: Considerable number of indoor navigation systems has been proposed to augment people with visual impairments (VI) about their surroundings. These systems leverage several technologies, such as computer-vision, ... -
COVID-19 infection localization and severity grading from chest X-ray images
Tahir A.M.; Chowdhury M.E.H.; Khandakar A.; Rahman T.; Qiblawey Y.; Khurshid U.; Kiranyaz, Mustafa Serkan; Ibtehaz N.; Rahman M.S.; Al-Maadeed S.; Mahmud S.; Ezeddin M.; Hameed K.; Hamid T.... more authors ... less authors ( Elsevier Ltd , 2021 , Article)The immense spread of coronavirus disease 2019 (COVID-19) has left healthcare systems incapable to diagnose and test patients at the required rate. Given the effects of COVID-19 on pulmonary tissues, chest radiographic ... -
Data Collection and Image Processing System for Ancient Arabic Manuscripts
Al-Maadeed S.; Peer S.F.K.; Subramanian N. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)This paper presents a general-purpose data collection system that combines a DSLR camera with directional LED lamps in order to capture a large quantity of high-resolution manuscript images in such a way as to maximize the ... -
Data driven feature extraction for gender classification using multi-script handwritten texts
Moetesum M.; Siddiqi I.; Djeddi C.; Hannad Y.; Al-Maadeed S. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)This paper presents a study on assessing the effectiveness of machine learned features to predict gender of writers from images of handwriting. Pre-trained Convolutional Neural Networks have been employed as feature ... -
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images
Tahir A.M.; Qiblawey Y.; Khandakar A.; Rahman T.; Khurshid U.; Musharavati F.; Islam M.T.; Kiranyaz, Mustafa Serkan; Al-Maadeed S.; Chowdhury M.E.H.... more authors ... less authors ( Springer , 2022 , Article)Novel coronavirus disease (COVID-19) is an extremely contagious and quickly spreading coronavirus infestation. Severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), which outbreak in 2002 ... -
Detection and severity classification of COVID-19 in CT images using deep learning
Qiblawey Y.; Tahir A.; Chowdhury M.E.H.; Khandakar A.; Kiranyaz, Mustafa Serkan; Rahman T.; Ibtehaz N.; Mahmud S.; Al Maadeed S.; Musharavati F.; Ayari M.A.... more authors ... less authors ( MDPI , 2021 , Article)Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In this study, a cascaded system is proposed to segment the lung, detect, localize, and quantify COVID-19 infections from ... -
Effect of Annotation on Multiple-Player-Tracking Algorithms
Al-Ali A.; Al-Maadeed S. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)For most people from all ages and genders, participation in sports becomes part of their life, especially participation in soccer matches, which are considered a symbol of healthy living and active attitudes of families. ...