• 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 ...
    • Adversarial Samples on Android Malware Detection Systems for IoT Systems 

      Liu, Xiaolei; Du, Xiaojiang; Zhang, Xiaosong; Zhu, Qingxin; Wang, Hao; Guizani, Mohsen (Journal article; Peer reviewed, 2019)
      any IoT (Internet of Things) systems run Android systems or Android-like systems. With the continuous development of machine learning algorithms, the learning-based Android malware detection system for IoT devices has ...
    • An Evaluation Framework for Spectral Filter Array Cameras to Optimize Skin Diagnosis 

      Bauer, Jacob Renzo; Thomas, Jean-Baptiste; Hardeberg, Jon Yngve; Verdaasdonk, Rudolf M. (Journal article; Peer reviewed, 2019)
      Comparing and selecting an adequate spectral filter array (SFA) camera is application-specific and usually requires extensive prior measurements. An evaluation framework for SFA cameras is proposed and three cameras are ...
    • ASSERT: A Blockchain-Based Architectural Approach for Engineering Secure Self-Adaptive IoT Systems 

      Alkhabbas, Fahed; Alsadi, Mohammed; Alawadi, Sadi; Awaysheh, Feras M.; Kebande, Victor R.; Moghaddam, Mahyar T. (Peer reviewed; Journal article, 2022)
      Internet of Things (IoT) systems are complex systems that can manage mission-critical, costly operations or the collection, storage, and processing of sensitive data. Therefore, security represents a primary concern that ...
    • Big data workflows: Locality-aware orchestration using software containers 

      Corodescu, Andrei-Alin; Nikolov, Nikolay; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir H.; Roman, Dumitru (Journal article; Peer reviewed, 2021)
      The emergence of the Edge computing paradigm has shifted data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructures. Therefore, data processing solutions must consider ...
    • Blind Quality Assessment of Iris Images Acquired in Visible Light for Biometric Recognition 

      jenadeleh, Mohsen; Pedersen, Marius; Saupe, Dietmar (Journal article; Peer reviewed, 2020)
      Image quality is a key issue affecting the performance of biometric systems. Ensuring the quality of iris images acquired in unconstrained imaging conditions in visible light poses many challenges to iris recognition ...
    • Classification of Individual Finger Movements from Right Hand Using fNIRS Signal 

      Khan, Haroon; Noori, Farzan Majeed; Yazidi, Anis; Uddin, Md Zia; Khan, M.N Afzal; Mirtaheri, Peyman (Peer reviewed; Journal article, 2021)
      Functional near-infrared spectroscopy (fNIRS) is a comparatively new noninvasive, portable, and easy-to-use brain imaging modality. However, complicated dexterous tasks such as individual finger-tapping, particularly using ...
    • Colour-Balanced Edge-Guided Digital Inpainting: Applications on Artworks 

      Ciortan, Irina-Mihaela; George, Sony; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2021)
      The virtual inpainting of artworks provides a nondestructive mode of hypothesis visualization, and it is especially attractive when physical restoration raises too many methodological and ethical concerns. At the same time, ...
    • Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training 

      Vonstad, Elise Klæbo; Su, Xiaomeng; Vereijken, Beatrix; Bach, Kerstin; Nilsen, Jan Harald (Peer reviewed; Journal article, 2020)
      Using standard digital cameras in combination with deep learning (DL) for pose estimation is promising for the in-home and independent use of exercise games (exergames). We need to investigate to what extent such DL-based ...
    • Comparison of Imaging Models for Spectral Unmixing in Oil Painting 

      Grillini, Federico; Thomas, Jean Baptiste; George, Sony (Peer reviewed; Journal article, 2021)
      The radiation captured in spectral imaging depends on both the complex light–matter interaction and the integration of the radiant light by the imaging system. In order to obtain material-specific information, it is important ...
    • Correlations in Joint Spectral and Polarization Imaging 

      Courtier, Guillaume; Lapray, Pierre-Jean; Thomas, Jean Baptiste; Farup, Ivar (Peer reviewed; Journal article, 2021)
      Recent imaging techniques enable the joint capture of spectral and polarization image data. In order to permit the design of computational imaging techniques and future processing of this information, it is interesting to ...
    • Detection-Based Object Tracking Applied to Remote Ship Inspection 

      Xie, Jing; Stensrud, Erik; Skramstad, Torbjørn (Peer reviewed; Journal article, 2021)
      We propose a detection-based tracking system for automatically processing maritime ship inspection videos and predicting suspicious areas where cracks may exist. This system consists of two stages. Stage one uses a ...
    • EduNet: A New Video Dataset for Understanding Human Activity in the Classroom Environment 

      Sharma, Vijeta; Gupta, Manjari; Kumar, Ajai; Mishra, Deepti (Peer reviewed; Journal article, 2021)
      Human action recognition in videos has become a popular research area in artificial intelligence (AI) technology. In the past few years, this research has accelerated in areas such as sports, daily activities, kitchen ...
    • Efficient Deep Learning Based Hybrid Model to Detect Obstructive Sleep Apnea 

      Hemrajani, Prashant; Dhaka, Vijaypal Singh; Rani, Geeta; Shukla, Praveen; Bavirisetti, Durga Prasad (Peer reviewed; Journal article, 2023)
      An increasing number of patients and a lack of awareness about obstructive sleep apnea is a point of concern for the healthcare industry. Polysomnography is recommended by health experts to detect obstructive sleep apnea. ...
    • Evaluation of the data quality from a round-robin test of hyperspectral imaging systems 

      Pillay, Ruven Lucio Saravana; Picollo, Marcello; Hardeberg, Jon Yngve; George, Sony (Journal article; Peer reviewed, 2020)
    • A Framework for Online Document Verification Using Self-Sovereign Identity Technology 

      Satybaldy, Abylay; Subedi, Anushka; Nowostawski, Mariusz (Peer reviewed; Journal article, 2022)
      As the world is gradually moving towards digitization, forgery of vital digital documents has become relatively easy. Therefore, the need for efficient and secure verification and authentication practices of digital documents ...
    • From a Low-Cost Air Quality Sensor Network to Decision Support Services: Steps towards Data Calibration and Service Development 

      Veiga, Tiago Santos; Munch-Ellingsen, Arne; Papastergiopoulos, Christoforos; Tzovaras, Dimitrios; Kalamaras, Ilias; Bach, Kerstin; Votis, Konstantinos; Akselsen, Sigmund (Peer reviewed; Journal article, 2021)
      Air pollution is a widespread problem due to its impact on both humans and the environment. Providing decision makers with artificial intelligence based solutions requires to monitor the ambient air quality accurately and ...
    • Harth: A human activity recognition dataset for machine learning 

      Logacjov, Aleksej; Bach, Kerstin; Kongsvold, Atle; Bårdstu, Hilde Bremseth; Mork, Paul Jarle (Peer reviewed; Journal article, 2021)
      Existing accelerometer-based human activity recognition (HAR) benchmark datasets that were recorded during free living suffer from non-fixed sensor placement, the usage of only one sensor, and unreliable annotations. We ...
    • High Dynamic Range Spectral Imaging Pipeline For Multispectral Filter Array Cameras 

      Lapray, Pierre-Jean; Thomas, Jean-Baptiste; Gouton, Pierre (Journal article; Peer reviewed, 2017)
      Spectral filter arrays imaging exhibits a strong similarity with color filter arrays. This permits us to embed this technology in practical vision systems with little adaptation of the existing solutions. In this communication, ...
    • HyTexiLa: high resolution visible and near infrared hyperspectral texture images 

      Khan, Haris Ahmad; Mihoubi, Soufiane; Mathon, Benjamin; Thomas, Jean-Baptiste; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2018)
      We present a dataset of close range hyperspectral images of materials that span the visible and near infrared spectrums: HyTexiLa (Hyperspectral Texture images acquired in Laboratory). The data is intended to provide high ...