Computer Science & Engineering: Recent submissions

Now showing items 1361-1380 of 2402

    • Smartphone-based food recognition system using multiple deep CNN models 

      Fakhrou A.; Kunhoth J.; Al-Maadeed, Somaya ( Springer , 2021 , Article)
      People with blindness or low vision utilize mobile assistive tools for various applications such as object recognition, text recognition, etc. Most of the available applications are focused on recognizing generic objects. ...

    • COVID-19 lesion segmentation using lung CT scan images: Comparative study based on active contour models 

      Akbari Y.; Hassen H.; Al-Maadeed, Somaya; Zughaier S.M. ( MDPI , 2021 , Article)
      Pneumonia is a lung infection that threatens all age groups. In this paper, we use CT scans to investigate the effectiveness of active contour models (ACMs) for segmentation of pneumonia caused by the Coronavirus disease ...

    • Applications, databases and open computer vision research from drone videos and images: a survey 

      Akbari Y.; Almaadeed N.; Al-Maadeed, Somaya; Elharrouss O. ( Springer Science and Business Media B.V. , 2021 , Article)
      Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an emerging application attracting significant attention from researchers in various areas of computer vision. Currently, the major ...

    • Improving text-to-image generation with object layout guidance 

      Zakraoui J.; Saleh M.; Al-Maadeed, Somaya; Jaam J.M. ( Springer , 2021 , Article)
      The automatic generation of realistic images directly from a story text is a very challenging problem, as it cannot be addressed using a single image generation approach due mainly to the semantic complexity of the story ...

    • CamNav: a computer-vision indoor navigation system 

      Karkar A.G.; Al-Maadeed, Somaya; Kunhoth J.; Bouridane A. ( Springer , 2021 , Article)
      We present CamNav, a vision-based navigation system that provides users with indoor navigation services. CamNav captures images in real time while the user is walking to recognize their current location. It does not require ...

    • Face-Fake-Net: The Deep Learning Method for Image Face Anti-Spoofing Detection : 45 

      Alshaikhli M.; Elharrouss O.; Al-Maadeed, Somaya; Bouridane A. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      Due to the increasingly growing demand for user identification on cell phones, PCs, laptops, and so on, face anti-spoofing has risen to significance and is an active research area in academia and industry. The detection ...

    • Secure facial recognition in the encrypted domain using a local ternary pattern approach 

      Khan F.A.; Bouridane A.; Boussakta S.; Jiang R.; Almaadeed S. ( Elsevier Ltd , 2021 , Article)
      Automatic facial recognition is fast becoming a reliable method for identifying individuals. Due to its reliability and unobtrusive nature facial recognition has been widely deployed in law enforcement and civilian ...

    • Learning-free handwritten word spotting method for historical handwritten documents 

      Mohammed H.H.; Subramanian N.; Al-Maadeed, Somaya ( John Wiley and Sons Inc , 2021 , Article)
      Word spotting on degraded and noisy historical documents can become a challenging task considering the computational time and memory usage required to scan the entire document image. This paper proposes a new effective ...

    • A review of video surveillance systems 

      Elharrouss O.; Almaadeed N.; Al-Maadeed, Somaya ( Academic Press Inc. , 2021 , Article)
      Automated surveillance systems observe the environment utilizing cameras. The observed scenario is then analysed using motion detection, crowd behaviour, individual behaviour, interaction between individuals, crowds and ...

    • Influence of codebook patterns on writer recognition: An experimental study 

      Djeddi C.; Siddiqi I.; Gattal A.; Al-Maadeed, Somaya; Ennaji A. ( Blackwell Publishing Ltd , 2021 , Article)
      Codebook-based writer characterization is an effective technique that has been investigated in a number of recent studies on identification and verification of writers. These methods divide a set of writing samples into ...

    • A New Forensic Video Database for Source Smartphone Identification: Description and Analysis 

      Akbari, Y.; Al-Maadeed, Somaya; Almaadeed, N.; Najeeb, A.A.; Al-ali, A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      In recent years, the field of digital imaging has made significant progress, so that today every smartphone has a built-in video camera that allows you to record high-quality video for free and without restrictions. On the ...

    • Mortality prediction utilizing blood biomarkers to predict the severity of COVID-19 using machine learning technique 

      Rahman T.; Al-Ishaq F.A.; Al-Mohannadi F.S.; Mubarak R.S.; Al-Hitmi M.H.; ... more authors ( MDPI , 2021 , Article)
      Healthcare researchers have been working on mortality prediction for COVID-19 patients with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity will assist in the allocation and ...

    • Encoder-decoder architecture for ultrasound IMC segmentation and cIMT measurement 

      Al-Mohannadi A.; Al-Maadeed, Somaya; Elharrouss O.; Sadasivuni K.K. ( MDPI , 2021 , Article)
      Cardiovascular diseases (CVDs) have shown a huge impact on the number of deaths in the world. Thus, common carotid artery (CCA) segmentation and intima-media thickness (IMT) measurements have been significantly implemented ...

    • Drone-SCNet: Scaled Cascade Network for Crowd Counting on Drone Images 

      Elharrouss O.; Almaadeed N.; Abualsaud K.; Al-Ali A.; Mohamed A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Crowd management is an essential task to ensure the safety and smoothness of any event. Using novel technologies, including surveillance cameras, drones, and the communication techniques between security agents, the control ...

    • Pose-invariant face recognition with multitask cascade networks 

      Elharrouss O.; Almaadeed N.; Al-Maadeed, Somaya; Khelifi F. ( Springer Science and Business Media Deutschland GmbH , 2022 , Article)
      In this work, a face recognition method is proposed for face under pose variations using a multitask convolutional neural network (CNN). Furthermore, a pose estimation method followed by a face identification module is ...

    • 3D GIS Interactive Visualization of the Archaeological Sites in Qatar for Research and Learning 

      Halabi O.; Al-Maadeed, Somaya; Puthern M.; Balakrishnan P.; El-Menshawy S. ( International Association of Online Engineering , 2022 , Article)
      This work provides a proficient approach to coordinate archeological exercises, information administration, digital object representation, and spatial investigation. The proposed framework furnishes the client with the ...

    • ANFIS-Net for automatic detection of COVID-19 

      Al-ali A.; Elharrouss O.; Qidwai U.; Al-Maadeed, Somaya ( Nature Research , 2021 , Article)
      Among the most leading causes of mortality across the globe are infectious diseases which have cost tremendous lives with the latest being coronavirus (COVID-19) that has become the most recent challenging issue. The extreme ...

    • A Haptic Handwriting Device in MOALEM Platform for Arabic Vocabulary Learning 

      Al-Maadeed, Somaya; Khalifa, B.; Saleh, M.; Abou El-Seoud, S.; AlJa'am J. ( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)
      Several research works have demonstrated the high importance of handwriting in a language acquisition. Learners prefer to use the traditional method of writing with a pen and pencil to strengthen the understanding of the ...

    • A review of deep learning-based detection methods for COVID-19 

      Subramanian, N.; Elharrouss, O.; Al-Maadeed, Somaya; Chowdhury, M. ( Elsevier Ltd , 2022 , Article)
      COVID-19 is a fast-spreading pandemic, and early detection is crucial for stopping the spread of infection. Lung images are used in the detection of coronavirus infection. Chest X-ray (CXR) and computed tomography (CT) ...

    • BEMD-3DCNN-based method for COVID-19 detection 

      Riahi, A.; Elharrouss, O.; Al-Maadeed, Somaya ( Elsevier Ltd , 2022 , Article)
      The coronavirus outbreak continues to spread around the world and no one knows when it will stop. Therefore, from the first day of the identification of the virus in Wuhan, China, scientists have launched numerous research ...