Blar i Vitenskapelige publikasjoner (TN-IDE) på forfatter "Rizvi, Syed Tahir Hussain"

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    • Analysis of Machine Learning Based Imputation of Missing Data 

      Rizvi, Syed Tahir Hussain; Latif, Muhammad Yasir; Amin, Muhammad Saad; Telmoudi, Achraf Jabeur; Shah, Nasir Ali (Peer reviewed; Journal article, 2023)
      Data analysis and classification can be affected by the availability of missing data in datasets. To deal with missing data, either deletion- or imputation-based methods are used that result in the reduction of data records ...

    • Assistive Data Glove for Isolated Static Postures Recognition in American Sign Language Using Neural Network 

      Amin, Muhammad Saad; Rizvi, Syed Tahir Hussain; Mazzei, Alessandro; Anselma, Luca (Peer reviewed; Journal article, 2023)
      Sign language recognition is one of the most challenging tasks of today’s era. Most of the researchers working in this domain have focused on different types of implementations for sign recognition. These implementations ...

    • Automated Diagnosis of Prostate Cancer Using mpMRI Images: A Deep Learning Approach for Clinical Decision Support 

      Gavade, Anil B.; Nerli, Rajendra; Kanwal, Neel; Gavade, Priyanka A.; Pol, Shridhar Sunilkumar; Rizvi, Syed Tahir Hussain (Peer reviewed; Journal article, 2023)
      Prostate cancer (PCa) is a significant health concern for men worldwide, where early detection and effective diagnosis can be crucial for successful treatment. Multiparametric magnetic resonance imaging (mpMRI) has evolved ...

    • Interval Type 2 Fuzzy Adaptive Motion Drive Algorithm Design 

      Ali, Syed M.; Guo, Yanling; Rizvi, Syed Tahir Hussain; Amin, Roohul; Yasin, Awais (Peer reviewed; Journal article, 2023-07)
      Motion drive algorithms are a set of filters designed to simulate realistic motion and are an integral part of contemporary vehicle simulators. This paper presents the design of a novel intelligent interval type 2 fuzzy ...

    • Transforming spatio-temporal self-attention using action embedding for skeleton-based action recognition 

      Ahmad, Tasweer; Rizvi, Syed Tahir Hussain; Kanwal, Neel (Peer reviewed; Journal article, 2023-09)
      Over the past few years, skeleton-based action recognition has attracted great success because the skeleton data is immune to illumination variation, view-point variation, background clutter, scaling, and camera motion. ...