• 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 ...
    • 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 ...
    • An Automated Approach for Analysing Students Feedback Using Sentiment Analysis Techniques 

      Sadriu, Shpetim; Pireva Nuci, Krenare; Imran, Ali Shariq; Uddin, Imran; Sajjad, Muhammad (Journal article, 2022)
      Conducting and evaluating continuous student feedback is essential for any quality enhancement cell (QEC) within an education institution. Students’ feedback based on their personal opinions can play a vital role in ensuring ...
    • A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines 

      Sajjad, Muhammad; U Min Ullah, Fathu; Ullah, Mohib; Christodoulou, Georgia; Alaya Cheikh, Faouzi; Khan, Muhammad (SKKU) (Peer reviewed; Journal article, 2023)
      Facial expression recognition (FER) is an emerging and multifaceted research topic. Applications of FER in healthcare, security, safe driving, and so forth have contributed to the credibility of these methods and their ...
    • 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)
    • 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”. ...
    • EADN: An Efficient Deep Learning Model for Anomaly Detection in Videos 

      Ul Amin, Sareer; Ullah, Mohib; Sajjad, Muhammad; Alaya Cheikh, Faouzi; Hijji, Mohammad; Hijji, Abdulrahman; Khan, Muhammad (SKKU) (Peer reviewed; Journal article, 2022)
      Surveillance systems regularly create massive video data in the modern technological era, making their analysis challenging for security specialists. Finding anomalous activities manually in these enormous video recordings ...
    • 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 ...
    • Guest Editorial Artificial Intelligence and Deep Learning for Intelligent and Sustainable Traffic and Vehicle Management (VANETs) 

      Gupta, Brij B.; Agrawal, Dharma P.; Sajjad, Muhammad; Sheng, Michael; Del Ser, Javier (Peer reviewed; Journal article, 2022)
      Intelligence and sustainability are two essential drivers for the development of current and future Intelligent Transportation Systems. On one hand, the complexity of vehicular ecosystems and the inherently risk-prone ...
    • 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. ...
    • Intelligent Image Super-Resolution for Vehicle License Plate in Surveillance Applications 

      Hijji, Mohammad; Khan, Abbas; M. Alwakeel, Mohammad; Harrabi, Rafika; Aradah, Fahad; Alaya Cheikh, Faouzi; Sajjad, Muhammad; Khan, Muhammad (SKKU) (Peer reviewed; Journal article, 2023)
      Vehicle license plate images are often low resolution and blurry because of the large distance and relative motion between the vision sensor and vehicle, making license plate identification arduous. The extensive use of ...
    • 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 ...
    • 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 ...
    • 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 ...