Browsing NTNU Open by Author "Ullah, Amin"

Now showing items 1-8 of 8

    • AI-Driven Salient Soccer Events Recognition Framework for Next Generation IoT-Enabled Environments 

      Muhammad, Khan; Ullah, Hayat; Obaidat, Muhammad; Ullah, Amin; Munir, Arsalan; Sajjad, Muhammad; Albuquerque, Victor Hugo C. de (Journal article; Peer reviewed, 2021)
      The salient events recognition of soccer matches in next-generation Internet of things (Nx-IoT) environment aims to analyze the performance of players/teams by the sports analytics and managerial staff. The embedded Nx-IoT ...

    • Anomaly Based Camera Prioritization in Large Scale Surveillance Networks 

      Hussain, Altaf; muhammad, Khan; Ullah, Hayat; Ullah, Amin; Imran, Ali Shariq; Lee, Mi-young; Rho, Seungmin; Sajjad, Muhammad (Journal article; Peer reviewed, 2021)
      Digital surveillance systems are ubiquitous and continuously generate massive amounts of data, and manual monitoring is required in order to recognise human activities in public areas. Intelligent surveillance systems that ...

    • COVID-19 Genome Sequence Analysis for New Variant Prediction and Generation 

      Ullah, Amin; Malik, Khalid Mahmood; Saudagar, Abdul Khader Jilani; Khan, Muhammad Badruddin; Hasanat, Mozaherul Hoque Abul; AlTameem, Abdullah; AlKhathami, Mohammed; Sajjad, Muhammad (Journal article; Peer reviewed, 2022)

    • Enabling automation and edge intelligence over resource constraint IoT devices for smart home 

      Nasir, Mansoor; Muhammad, Khan; Ullah, Amin; Ahmad, Jamil; Wook Baik, Sung; Sajjad, Muhammad (Peer reviewed; Journal article, 2022)
      Smart home applications are pervasive and have gained popularity due to the overwhelming use of Internet of Things (IoT). The revolution in IoT technologies made homes more convenient, efficient and perhaps more secure. ...

    • Human action recognition using attention based LSTM network with dilated CNN features 

      Muhammad, Khan; Mustaqeem, .; Ullah, Amin; Imran, Ali Shariq; Sajjad, Muhammad; Kiran, Mustafa Servet; Sannino, Giovanna; Alburguerque, Victor Hugo C., de (Peer reviewed; Journal article, 2021)
      Human action recognition in videos is an active area of research in computer vision and pattern recognition. Nowadays, artificial intelligence (AI) based systems are needed for human-behavior assessment and security purposes. ...

    • A Multi-Stream Sequence Learning Framework for Human Interaction Recognition 

      Haroon, Umair; Ullah, Amin; Hussain, Tanveer; Ullah, Waseem; Sajjad, Muhammad; Muhammad, Khan; Lee, Mi Young; Baik, Sung Wook (Peer reviewed; Journal article, 2022)
      Human interaction recognition (HIR) is challenging due to multiple humans’ involvement and their mutual interaction in a single frame, generated from their movements. Mainstream literature is based on three-dimensional ...

    • A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images 

      Khan, Siraj; Sajjad, Muhammad; Hussain, Tanvir; Ullah, Amin; Imran, Ali Shariq (Peer reviewed; Journal article, 2021)
      In computer vision, traditional machine learning (TML) and deep learning (DL) methods have significantly contributed to the advancements of medical image analysis (MIA) by enhancing prediction accuracy, leading to appropriate ...

    • A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images 

      Khan, Siraj; Sajjad, Muhammad; Hussain, Tanveer; Ullah, Amin; Imran, Ali Shariq (Peer reviewed; Journal article, 2020)
      In computer vision, traditional machine learning (TML) and deep learning (DL) methods have significantly contributed to the advancements of medical image analysis (MIA) by enhancing prediction accuracy, leading to appropriate ...