Blar i NTNU Open på forfatter "Ullah, Mohib"

Viser treff 21-27 av 27

    • PedNet: A Spatio-Temporal Deep Convolutional Neural Network for Pedestrian Segmentation 

      Ullah, Mohib; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi (Journal article; Peer reviewed, 2018)
      Articulation modeling, feature extraction, and classification are the important components of pedestrian segmentation. Usually, these components are modeled independently from each other and then combined in a sequential ...

    • S3AM: A Spectral-Similarity-Based Spatial Attention Module for Hyperspectral Image Classification 

      Li, Ningyang; Wang, Zhaohui; Alaya Cheikh, Faouzi; Ullah, Mohib (Peer reviewed; Journal article, 2022)
      Recently, hyperspectral image (HSI) classification based on deep learning methods has attracted growing attention and made great progress . Convolutional neural networks based models, especially the residual networks ...

    • Semi-supervised Network for Detection of COVID-19 in Chest CT Scans 

      Mohammed, Ahmed Kedir; Wang, Congcong; Zhao, Meng; Ullah, Mohib; Naseem, Rabia; Wang, Hao; Pedersen, Marius; Alaya Cheikh, Faouzi (Peer reviewed; Journal article, 2020)
      Deep Learning-based chest Computed Tomography (CT) analysis has been proven to be effective and efficient for COVID-19 diagnosis. Existing deep learning approaches heavily rely on large labeled data sets, which are difficult ...

    • Serious Games in Science Education. A Systematic Literature Review 

      Ullah, Mohib; Amin, Sareer Ul; Munsif, Muhammad; Safaev, Utkurbek; Khan, Habib; Khan, Salman Saeed; Ullah, Habib (Peer reviewed; Journal article, 2022)
      Teaching science through computer games, simulations, and artificial intelligence (AI) is an increasingly active research field. To this end, we conducted a systematic literature review on serious games for science education ...

    • TCM: Temporal Consistency Model for Head Detection in Complex Videos 

      Khan, Sultan Daud; Altamimi, Ahmed Bder; Ullah, Mohib; Ullah, Habib; Alaya Cheikh, Faouzi (Peer reviewed; Journal article, 2020)
      Head detection in real-world videos is a classical research problem in computer vision. Head detection in videos is challenging than in a single image due to many nuisances that are commonly observed in natural videos, ...

    • Toward Authentication of Videos: Integer Transform Based Motion Vector Watermarking 

      Ullah, Rafi; Khan, Sultan Daud; Ullah, Mohib; Al Machot, Fadi; Ullah, Habib (Journal article; Peer reviewed, 2022)

    • Weaponized AI for cyber attacks 

      Yamin, Muhammad Mudassar; Ullah, Mohib; Ullah, Habib; Katt, Basel (Journal article; Peer reviewed, 2021)
      Artificial intelligence (AI)-based technologies are actively used for purposes of cyber defense. With the passage of time and with decreasing complexity in implementing AI-based solutions, the usage of AI-based technologies ...