Blar i NTNU Open på forfatter "Muhammad, Khan"

Viser treff 1-15 av 15

    • An Adaptive Game-Based Learning Strategy for Children Road Safety Education and Practice in Virtual Space 

      khan, noman; Muhammad, Khan; Hussain, Tanvir; Nasir, Mansoor; Munsif, Muhammad; Imran, Ali Shariq; Sajjad, Muhammad (Peer reviewed; Journal article, 2021)
      Virtual reality (VR) has been widely used as a tool to assist people by letting them learn and simulate situations that are too dangerous and risky to practice in real life, and one of these is road safety training for ...

    • 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 ...

    • Cross-modal guidance assisted hierarchical learning based siamese network for mr image denoising 

      Naseem, Rabia; Alaya Cheikh, Faouzi; Beghdadi, Azeddine; Muhammad, Khan; Sajjad, Muhammad (Journal article; Peer reviewed, 2021)

    • Deepview: Deep Learning based Users Field of View Selection in 360° Videos for Industrial Environments 

      Irfan, Muhammad; Muhammad, Khan; Sajjad, Muhammad; Malik, Khalid; Alaya Cheikh, Faouzi; Rodrigues, Joel J.P.C.; Albuquerque, Victor Hugo C. de (Peer reviewed; Journal article, 2021)
      The industrial demands of immersive videos for virtual reality/augmented reality applications are crescendo, where the video stream provides a choice to the user viewing object of interest with the illusion of “being there”. ...

    • 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. ...

    • FADS: An Intelligent Fatigue and Age Detection System 

      Hijji, Mohammad; Yar, Hikmat; Ullah, Fath U Min; Alwakeel, Mohammed M.; Harrabi, Rafika; Aradah, Fahad; Alaya Cheikh, Faouzi; Muhammad, Khan; Sajjad, Muhammad (Peer reviewed; Journal article, 2023)
      Nowadays, the use of public transportation is reducing and people prefer to use private transport because of its low cost, comfortable ride, and personal preferences. However, personal transport causes numerous real-world ...

    • 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. ...

    • Light-DehazeNet: A Novel Lightweight CNN Architecture for Single Image Dehazing 

      Ullah, Hayat; Muhammad, Khan; Irfan, Muhammad; Anwar, Saeed; Sajjad, Muhammad; Imran, Ali Shariq; Albuquerque, Victor Hugo C. de (Peer reviewed; Journal article, 2021)
      Due to the rapid development of artificial intelligence technology, industrial sectors are revolutionizing in automation, reliability, and robustness, thereby significantly increasing quality and productivity. Most of the ...

    • Mapping Tools for Open Source Intelligence with Cyber Kill Chain for Adversarial Aware Security 

      Yamin, Muhammad Mudassar; Ullah, Mohib; Ullah, Habib; Katt, Basel; Hijji, Mohammad; Muhammad, Khan (Peer reviewed; Journal article, 2022)
      Open-source intelligence (OSINT) tools are used for gathering information using different publicly available sources. With the rapid advancement in information technology and excessive use of social media in our daily ...

    • MoMo: Mouse-Based Motion Planning for Optimized Grasping to Declutter Objects Using a Mobile Robotic Manipulator 

      Jagatheesaperumal, Senthil Kumar; Rajamohan, Varun Prakash; Saudagar, Abdul Khader Jilani; AlTameem, Abdullah; Sajjad, Muhammad; Muhammad, Khan (Peer reviewed; Journal article, 2023)
      The aim of this study is to develop a cost-effective and efficient mobile robotic manipulator designed for decluttering objects in both domestic and industrial settings. To accomplish this objective, we implemented a deep ...

    • 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 ...

    • Optimized deep learning-based cricket activity focused network and medium scale benchmark 

      Ahmad, Waqas; Munsif, Muhammad; Ullah, Habib; Ullah, Mohib; Alsuwailem, Alhanouf Abdulrahman; Jilani Saudagar, Abdul Khader; Muhammad, Khan; Sajjad, Muhammad (Peer reviewed; Journal article, 2023)
      The recognition of different activities in sports has gained attention in recent years for its applications in various athletic events, including soccer and cricket. Cricket, in particular, presents a challenging task for ...

    • School of the Future: A Comprehensive Study on the Effectiveness of Augmented Reality as a Tool for Primary School Children’s Education 

      ., Afnan; Muhammad, Khan; khan, noman; Lee, Mi-young; Imran, Ali Shariq; Sajjad, Muhammad (Peer reviewed; Journal article, 2021)
      With the emerging technologies of augmented reality (AR) and virtual reality (VR), the learning process in today’s classroom is much more effective and motivational. Overlaying virtual content into the real world makes ...

    • A Systematic Mapping Review on MOOC Recommender Systems 

      Uddin, Imran; Imran, Ali Shariq; Muhammad, Khan; Fayyaz, Nosheen; Sajjad, Muhammad (Journal article; Peer reviewed, 2021)

    • WEENet: An Intelligent System for Diagnosing COVID-19 and Lung Cancer in IoMT Environments 

      Muhammad, Khan; Ullah, Hayat; Khan, Zulfiqar Ahmad; Saudagar, Abdul Khader Jilani; AlTameem, Abdullah; AlKhathami, Mohammed; Khan, Muhammad Badruddin; Abul Hasanat, Mozaherul Hoque; Mahmood Malik, Khalid; Hijji, Mohammad; Sajjad, Muhammad (Peer reviewed; Journal article, 2022)
      The coronavirus disease 2019 (COVID-19) pandemic has caused a major outbreak around the world with severe impact on health, human lives, and economy globally. One of the crucial steps in fighting COVID-19 is the ability ...