• A Survey on Deep-Learning-Based Diabetic Retinopathy Classification 

      Sebastian, Anila; Elharrouss, Omar; Al-Maadeed, Somaya; Almaadeed, Noor ( MDPI , 2023 , Article Review)
      The number of people who suffer from diabetes in the world has been considerably increasing recently. It affects people of all ages. People who have had diabetes for a long time are affected by a condition called Diabetic ...
    • A Virtual Reality Nutrition Awareness Learning System for Children 

      Karkar, AbdelGhani; Salahuddin , Tooba; Almaadeed, Noor; Aljaam, Jihad Mohamad; Halabi, Osama ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Taking daily breakfast with healthy food is highly important for children to provide their body with indispensable nutritional elements after a lengthy rest. Skipping the morning breakfast, makes the majority of them feel ...
    • Automatic detection and classification of audio events for road surveillance applications 

      Almaadeed, N.; Almaadeed, Noor; Asim, Muhammad; Al-Maadeed, Somaya; Bouridane, Ahmed; ... more 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 ...
    • COVID-19 Lung Infection Segmentation 

      Elharrouss, Omar; Subramanian, Nandhini; Almaadeed, Noor; Al-Maadeed, Somaya ( Qatar University Press , 2020 , Poster)
      The novelty of the COVID-19 Disease and the speed of spread, that create a colossal chaos, impulse all the worldwide researchers to exploit all resources and capabilities to understand and analyze characteristics of the ...
    • Crowd counting Using DRL-based segmentation and RL-based density estimation 

      Elharrouss, Omar; Almaadeed, Noor; Al-Maadeed, Somaya; Abualsaud, Khalid; Mohamed, Amr; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      People counting is one of the computer vision tasks that can be useful for crowd management. In addition, estimating the crowdedness of a surveilled scene for crowd behavior analysis is one of the prominent challenges in ...
    • Image Inpainting: A Review 

      Elharrouss, Omar; Almaadeed, Noor; Al-Maadeed, Somaya; Akbari, Younes ( 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. ...
    • PRNU-Net: a Deep Learning Approach for Source Camera Model Identification based on Videos Taken with Smartphone 

      Akbari, Younes; Almaadeed, Noor; Al-Maadeed, Somaya; Khelifi, Fouad; Bouridane, Ahmed ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      Recent advances in digital imaging have meant that every smartphone has a video camera that can record high-quality video for free and without restrictions. In addition, rapidly developing Internet technology has contributed ...
    • Robust gait recognition: A comprehensive survey 

      Rida, Imad; Almaadeed, Noor; Almaadeed, Somaya ( Institution of Engineering and Technology , 2019 , Article Review)
      Gait recognition has emerged as an attractive biometric technology for the identification of people by analysing the way they walk. However, one of the main challenges of the technology is to address the effects of inherent ...
    • Text-Independent Speaker Identification Using Vowel Formants 

      Almaadeed, Noor; Aggoun, Amar; Amira, Abbes ( Springer New York LLC , 2016 , Article)
      Automatic speaker identification has become a challenging research problem due to its wide variety of applications. Neural networks and audio-visual identification systems can be very powerful, but they have limitations ...
    • ViDMASK dataset for face mask detection with social distance measurement 

      Ottakath, Najmath; Elharrouss, Omar; Almaadeed, Noor; Al-Maadeed, Somaya; Mohamed, Amr; ... more authors ( Elsevier B.V. , 2022 , Article)
      The COVID-19 outbreak has extenuated the need for a monitoring system that can monitor face mask adherence and social distancing with the use of AI. With the existing video surveillance systems as base, a deep learning ...