Blar i NTNU Open på forfatter "Alaya Cheikh, Faouzi"

Viser treff 21-40 av 47

    • Group Identification at Border Crossing Points 

      Yayilgan, Sule Yildirim; Hovstø, Asbjørn; Alaya Cheikh, Faouzi; Amodei, Anthony; Iori, Marc; Zaharia, Sandel; Ioannidis, Dimos; Thorvaldsen, Øystein Espelid (Chapter; Peer reviewed, 2011)
      Increasing Passenger flow at Border Crossing Points is an important issue at today’s border crossing points (BCPs) of land, sea and airport. Group Access Control and utilizing biometrics information will help increase ...

    • High-Performance Computation of Bézier Surfaces on Parallel and Heterogeneous Platforms 

      Palomar, Rafael; Gómez-Luna, Juan; Alaya Cheikh, Faouzi; Olivares-Bueno, Joaquín; Elle, Ole Jakob (Journal article; Peer reviewed, 2017)
      Bézier surfaces are mathematical tools employed in a wide variety of applications. Some works in the literature propose parallelization strategies to improve performance for the computation of Bézier surfaces. These ...

    • Indoor Propagation Analysis of IQRF Technology for Smart Building Applications 

      Bouzidi, Mohammed; Gupta, Nishu; Dalveren, Yaser; Mohamed, Marshed Kassim; Alaya Cheikh, Faouzi; Derawi, Mohammad (Peer reviewed; Journal article, 2022)
      Owing to its efficiency in the Internet of Things (IoT) applications in terms of low-power connectivity, IQRF (Intelligent Connectivity using Radio Frequency) technology appears to be one of the most reasonable IoT ...

    • 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 ...

    • Just Noticeable Difference Model for Asymmetrically Distorted Stereoscopic Images 

      Fan, Yu; Larabi, Mohamed-Chaker; Alaya Cheikh, Faouzi; Fernandez-Maloigne, Christine (Peer reviewed; Journal article, 2019)
      In this paper, we propose a saliency-weighted stereoscopic JND (SSJND) model constructed based on psychophysical experiments, accounting for binocular disparity and spatial masking effects of the human visual system (HVS). ...

    • Liver surface reconstruction for image guided surgery 

      Wang, Congcong; Alaya Cheikh, Faouzi; Kaaniche, Mounir; Elle, Ole Jacob (Journal article; Peer reviewed, 2018)
      In image guided surgery, stereo laparoscopes have been introduced to provide a 3D view of the organs during the laparoscopic intervention. This stereo video could possibly be used for other purposes other than simple ...

    • LPWAN Cyber Security Risk Analysis: Building a Secure IQRF Solution 

      Bouzidi, Mohammed; Amro, Ahmed Walid; Dalveren, Yaser; Alaya Cheikh, Faouzi; Derawi, Mohammad (Peer reviewed; Journal article, 2023)
      Low-power wide area network (LPWAN) technologies such as IQRF are becoming increasingly popular for a variety of Internet of Things (IoT) applications, including smart cities, industrial control, and home automation. ...

    • Multipeople tracking across multiple cameras 

      Alaya Cheikh, Faouzi; Saha, Sajib Kumar; Rudakova, Victoria; Wang, Peng (Journal article; Peer reviewed, 2012)
      Multi-target tracking (MTT) is an active and challenging research topic. Many different approaches to MTT problem exist, yet there are still few satisfactory methods of solving multi-target occlusion problem, which often ...

    • Multiscale deep desmoking for laparoscopic surgery 

      Wang, Congcong; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi; Beghdadi, Azeddine; Elle, Ole Jacob (Journal article; Peer reviewed, 2019)
      In minimally invasive surgery, smoke generated by such as electrocautery and laser ablation deteriorates image quality severely. This creates discomfortable view for the surgeon which may increase surgical risk and degrade ...

    • A neural network based framework for effective laparoscopic video quality assessment 

      Khan, Zohaib Amjad; Beghdadi, Azeddine; Kaaniche, Mounir; Alaya Cheikh, Faouzi; Gharbi, Osama (Peer reviewed; Journal article, 2022)
      Video quality assessment is a challenging problem having a critical significance in the context of medical imaging. For instance, in laparoscopic surgery, the acquired video data suffers from different kinds of distortion ...

    • A Novel Architectural Framework on IoT Ecosystem, Security Aspects and Mechanisms: A Comprehensive Survey 

      Bouzidi, Mohammed; Gupta, Nishu; Alaya Cheikh, Faouzi; Shalaginov, Andrii; Derawi, Mohammad (Peer reviewed; Journal article, 2022)
      For the past few years, the Internet of Things (IoT) technology continues to not only gain popularity and importance, but also witnesses the true realization of everything being smart. With the advent of the concept of ...

    • Oblique end face coupling optical fiber sensor for point fuel level measurement 

      Ge, Junfeng; xin, cheng; Chengrui, Zhao; Kang, Gui; Wei, Zhang; Alaya Cheikh, Faouzi; lin, ye (Peer reviewed; Journal article, 2019)
      A new implementation of point level sensor fabricated using the oblique multimode silica fibers is proposed and demonstrated. Based on Fresnel reflection, all the incident lights are reflected back by the oblique sensor ...

    • On the improvement of 2D quality assessment metrics for omnidirectional images 

      Sendjasni, Abderrezzaq; Larabi, Mohamed-Chaker; Alaya Cheikh, Faouzi (Peer reviewed; Journal article, 2020)
      Subjective quality assessment remains the most reliable way to evaluate image quality while being tedious and money consuming. Therefore, objective quality evaluation ensures a trade-off by providing a computational approach ...

    • Optimized Deep-Learning-Based Method for Cattle Udder Traits Classification 

      Afridi, Hina; Ullah, Mohib; Nordbø, Øyvind; Alaya Cheikh, Faouzi; Larsgard, Anne Guro (Peer reviewed; Journal article, 2022)
      We propose optimized deep learning (DL) models for automatic analysis of udder conformation traits of cattle. One of the traits is represented by supernumerary teats that is in excess of the normal number of teats. ...

    • 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 ...

    • Propagation Measurements for IQRF Network in an Urban Environment 

      Bouzidi, Mohammed; Mohamed, Marshed Kassim; Dalveren, Yaser; Moldsvor, Arild; Alaya Cheikh, Faouzi; Derawi, Mohammad (Peer reviewed; Journal article, 2022)
      Recently, IQRF has emerged as a promising technology for the Internet of Things (IoT), owing to its ability to support short- and medium-range low-power communications. However, real world deployment of IQRF-based wireless ...

    • Reflected light intensity-modulated continuous liquid level sensor based on oblique end face coupling optical fibers 

      Ge, Junfeng; xin, cheng; Chengrui, Zhao; Kang, Gui; Wei, Zhang; Alaya Cheikh, Faouzi; lin, ye (Journal article; Peer reviewed, 2019)
      A light intensity-modulated optical fiber sensor for continuous level measurement is proposed and demonstrated. The sensor is constructed by vertically arranging groups of fibers on the oblique surface which reflects all ...

    • Resectograms: Real-Time 2D Visualization of Liver Virtual Resections 

      Meng, Ruoyan; Aghayan, Davit; Pelanis, Egidijus; Edwin, Bjørn von Gohren; Alaya Cheikh, Faouzi; Palomar Avalos, Rafael (Peer reviewed; Journal article, 2023)
      Visualization of virtual resections plays a central role in computer-assisted liver surgery planning. The complexity of the liver's internal structures often leads to difficulties in its proper visualization during the ...

    • Road surface condition detection utilizing resonance frequency and optical technologies 

      Gui, Kang; Ye, Lin; Ge, Junfeng; Alaya Cheikh, Faouzi; Huang, Lizhen (Journal article; Peer reviewed, 2019)
      With the booming development of road network and intelligent transportation systems, road surface condition information becomes more and more valuable in traffic accident prevention and route optimization. Although some ...

    • 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 ...