Now showing items 16-35 of 76

    • Data driven approach for eye disease classification with machine learning. 

      Malik, Sadaf; Kanwal, Nadia; Asghar, Mamoona Naveed; Sadiq, Mohammad Ali A.; Karamat, Irfan; Fleury, Martin (MDPI, 2019-07-11)
      Medical health systems have been concentrating on artificial intelligence techniques for speedy diagnosis. However, the recording of health data in a standard form still requires attention so that machine learning can ...
    • Delay-based network utility maximization modelling for congestion control in name data networking 

      Ye, Yuhang; Flynn, Ronan; Xu, Jin; Guiming, Fang; Yuansong, Qiao (IEEE, 2021-10-05)
      Content replication and name-based routing lead to a natural multi-source and multipath transmission paradigm in NDN. Due to the unique connectionless characteristic of NDN, current end-to-end multipath congestion control ...
    • Denoising of Nifti (MRI) images with a regularized neighborhood pixel similarity wavelet algorithm 

      Akindele, Komoke Grace; Yu, Ming; Kanda, Paul Shekonya; Owoola, Eunice Oluwabunmi; Aribilola, Ifeoluwapo (MDPI, 2023-09-10)
      The recovery of semantics from corrupted images is a significant challenge in image processing. Noise can obscure features, interfere with accurate analysis, and bias results. To address this issue, the Regularized ...
    • Depth-map generation using pixel matching in stereoscopic pair of images 

      Aslam, Asra; Ansari, Mohammad Samar (arXiv, 2019-02)
      Modern day multimedia content generation and dissemination is moving towards the presentation of more and more ‘realistic’ scenarios. The switch from 2-dimensional (2D) to 3-dimensional (3D) has been a major driving ...
    • Digital twin: origin to future 

      Singh, Maulshree; Fuenmayor, Evert; Hinchy, Eoin P.; Qiao, Yuansong; Murray, Niall (MDPI, 2021-05-24)
      Digital Twin (DT) refers to the virtual copy or model of any physical entity (physical twin) both of which are interconnected via exchange of data in real time. Conceptually, a DT mimics the state of its physical twin ...
    • Digital twins collaboration for automatic erratic operational data detection in industry 4.0 

      Sahal, Radhya; Alsamhi, Saeed H.; Breslin, John G.; Brown, Kenneth N.; Ali, Muhammad Intizar (MDPI, 2021-04-02)
      Digital twin (DT) plays a pivotal role in the vision of Industry 4.0. The idea is that the real product and its virtual counterpart are twins that travel a parallel journey from design and development to production and ...
    • ECE: Exactly-Once-Computation for Collaborative Edge in IoT using Information Centric Networking 

      Wang, Qian; Lee, Brian; Murray, Niall; Qiao, Yuansong (IEEE, 2023-05-11)
      —Exactly-once data processing/delivery can be guaranteed in traditional big data processing systems, e.g. Apache Flink. Checkpoint is commonly used as the solution. Each operator in these systems can restart from the ...
    • Effectiveness of cleaning and disinfection procedures on the removal of enterotoxigenic Bacillus cereus from infant feeding bottles. 

      Rowan, Neil J.; Anderson, John G. (International Association for Food Protection, 1998)
      Reconstituted infant milk formulas are considered a food class of high risk because of the susceptibility of the infant population to enteric bacterial pathogens, severe response to enterotoxins, and increased mortality. ...
    • Effectiveness of crypto-transcoding for H.264/AVC and HEVC video bit-streams. 

      Shah, Rizwan; Ashgar, Mamoona Naveed; Abdullah, Saima; Fleury, Martin; Gohar, Neelam (Springer, 2019-03-22)
      To avoid delays arising from a need to decrypt a video prior to transcoding and then re-encrypt it afterwards, this paper assesses a selective encryption (SE) content protection scheme. The scheme is suited to both recent ...
    • An ensemble machine learning method for microplastics identification with FTIR spectrum 

      Yan, Xinyu; Cao, Zhi; Murphy, Alan; Qiao, Yuansong (Elsevier, 2022-06-20)
      Microplastics (MPs) (size < 5 mm) marine pollution have been investigated and monitored by many researchers and found in many coasts around the world. These toxic chemicals make their way into human diet through food ...
    • An evaluation of a 3D multimodal marker-less motion analysis system. 

      Rodrigues, Thiago Braga; Rodrigues, Thiago Braga; Ó Catháin, Ciáran; Devine, Declan M.; Moran, Kieran; O'Connor, Noel E.; Murray, Niall (ACM, 2019-06)
      Motion analysis is a technique used by clinicians (among many others) that quantifies human movement by using camera-based systems. Marker-based motion analysis systems have been used across a variety of application ...
    • FireNet: a specialized lightweight fire & smoke detection model for real-time IoT applications. 

      Jadon, Arpit; Omama, Mohammad; Varshney, Akshay; Ansari, Mohammad Samar; Sharma, Rishabh (arXiv, 2018-05-28)
      Fire disasters typically result in lot of loss to life and property. It is therefore imperative that precise, fast, and possibly portable solutions to detect fire be made readily available to the masses at reasonable ...
    • Four quadrant analog multiplier based memristor emulator using single active element 

      Sharma, Vipin Kumar; Parveen, P.; Ansari, Mohammad Samar (Elsevier, 2020-02)
      This paper presents a novel Four Quadrant Analog Multiplier (FQAM) circuit and its applications using a single active element Current Differencing Transconductance Amplifier (CDTA) and two NMOS. This circuit has a cascadability ...
    • A framework for distributed cleaning of data streams. 

      Gill, Saul; Lee, Brian (Elsevier, 2015)
      Vast and ever increasing quantities of data are produced by sensors in the Internet of Things (IoT). The quality of this data can be very variable due to problems with sensors, incorrect calibration etc. Data quality can ...
    • Fuzzy‑logic threat classification for multi‑level selective encryption over real‑time video streams. 

      Shifa, Amna; Asghar, Mamoona Naveed; Ahmed, Adeel; Martin, Fleury (Springer, 2020-04-22)
      This paper proposes a Fuzzy-logic Threat Classification (FTC) model as the basis of a method to auto-detect three different confidentiality levels for videos streamed from heterogeneous, mobile devices via web edge servers, ...
    • Green internet of things using UAVs in B5G networks: a review of applications and strategies 

      Alsamhi, Saeed H.; Afghah, Fatemeh; Sahal, Radhya; Hawbani, Ammar; Al-qaness, Mohammad A. A.; Lee, Brian; Guizani, Mohsen (Elsevier, 2021-04-03)
      Recently, Unmanned Aerial Vehicles (UAVs) present a promising advanced technology that can enhance people life quality and smartness of cities dramatically and increase overall economic efficiency. UAVs have attained a ...
    • GRU-based deep learning approach for network intrusion alert prediction 

      Ansari, Mohammad Samar; Bartoš, Václav; Lee, Brian (Elsevier, 2021-11)
      The exponential growth in the number of cyber attacks in the recent past has necessitated active research on network intrusion detection, prediction and mitigation systems. While there are numerous solutions available for ...
    • Host based intrusion detection system with combined CNN/RNN model. 

      Chawla, Ashima; Lee, Brian; Fallon, Sheila; Jacob, Paul (Springer International Publishing, 2018)
      Cyber security has become one of the most challenging as- pects of modern world digital technology and it has become imperative to minimize and possibly avoid the impact of cybercrimes. Host based intrusion detection ...
    • Human gait assessment using a 3D marker-less multimodal motion capture system. 

      Rodrigues, Thiago Braga; Salgado, Debora Pereira; Ó Catháin, Ciarán; O'Connor, Noel; Murray, Niall (Springer, 2019-12-05)
      Gait analysis is the measurement, processing and systematic interpretation of biomechanical parameters that characterize human locomotion. It supports the identification of movement limitations and development of rehabilitation ...
    • Industry 4.0 smart reconfigurable manufacturing machines 

      Morgan, Jeff; Halton, Mark; Qiao, Yuangsong (Elsevier, 2021-04-07)
      This paper provides a fundamental research review of Reconfigurable Manufacturing Systems (RMS), which uniquely explores the state-of-the-art in distributed and decentralized machine control and machine intelligence. The ...