Browsing by Subject "CNN"

Now showing items 1-11 of 11

    • Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques 

      Chowdhury, Muhammad E. H.; Rahman, Tawsifur; Khandakar, Amith; Ayari, Mohamed A.; Khan, Aftab U.; ... more authors ( MDPI , 2021 , Article)
      Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring. Manual plant disease monitoring is both laborious and error-prone. ...

    • CNN International-Inside the Middle East Qatar University Students 

      ( Qatar University , 2010 , Video)

    • 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 ...

    • Disaster related social media content processing for sustainable cities 

      Pradeep Kumar, Roy; Kumar, Abhinav; Singh, Jyoti Prakash; Dwivedi, Yogesh Kumar; Rana, Nripendra Pratap; ... more authors ( Elsevier , 2021 , Article)
      The current study offers a hybrid convolutional neural networks (CNN) model that filters relevant posts and categorises them into several humanitarian classifications using both character and word embedding of textual ...

    • 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. ...

    • LCDnet: a lightweight crowd density estimation model for real-time video surveillance 

      Khan, Muhammad Asif; Menouar, Hamid; Hamila, Ridha ( Institute for Ionics , 2023 , Article)
      Automatic crowd counting using density estimation has gained significant attention in computer vision research. As a result, a large number of crowd counting and density estimation models using convolution neural networks ...

    • Lightweight IoT Malware Detection Solution Using CNN Classification 

      Zaza, Ahmad M.N.; Kharroub, Suleiman K.; Abualsaud, Khalid ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Internet of Things (IoT) is becoming more frequently used in more applications as the number of connected devices is in a rapid increase. More connected devices result in bigger challenges in terms of scalability, ...

    • Revisiting crowd counting: State-of-the-art, trends, and future perspectives 

      Khan, Muhammad Asif; Menouar, Hamid; Hamila, Ridha ( Elsevier , 2023 , Article Review)
      Crowd counting is an effective tool for situational awareness in public places. Automated crowd counting using images and videos is an interesting yet challenging problem that has gained significant attention in computer ...

    • Towards a multimodal classification of cultural heritage 

      Belhi, Abdelhak; Bouras, Abdelaziz ( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference Paper)
      The humanity has always learned from the previous experiences and thus for many reasons. The national heritage proves to be a great way to discover and access a nation's history. As a result, these priceless cultural items ...

    • الصمت الذكي.. انتصار 

      فخرو, عبدالناصر ( مجموعة دار الشرق , 2020 , Article)

    • انتقام الأرقام: تلاشي فرص فوز ترامب إحصائياً 

      الأنصاري, ماجد ( مجموعة دار الشرق , 2020 , Article)