Browsing Technological University of the Shannon: Midlands Midwest by Author "Imtiaz, Muhammad Babar"

Now showing items 1-4 of 4

    • An assessment of the transparency of contemporary technology education research employing interview-based methodologies 

      Buckley, Jeffrey; Adams, Latif; Aribilola, Ifeoluwapo; Arshad, Iram; Azeem, Muhammad; Bracken, Lauryn; Breheny, Colette; Buckley, Ciara; Chimello, Ismael; Fagan, Alison; Fitzpatrick, Daniel P.; Herrera, Diana Garza; Gomes, Guilherme Daniel; Grassick, Shaun; Halligan, Elaine; Hirway, Amit; Hyland, Tómas; Imtiaz, Muhammad Babar; Khan, Muhammad Bilal; Lanzagorta Garcia, Eduardo; Lennon, Paul; Manaf, Eyman; Meng, Jing; Sufian, Mohd Sufino Zuhaily; Moraes, Adrielle; Osterwald, Katja Magdalena; Platonava, Anastasia; Reid, Clodagh; Renard, Michèle; Rodriguez-Barroso, Laura G.; Simonassi-Paiva, Biana; Singh, Maulshree; Szamk, Tomaz; Tahir, Mehwish; Vijayakumar, Sowmya; Ward, Cormac; Yan, Xinyu; Zainol, Ismin; Zhang, Lin (Springer, 2021-08-20)
      A high level of transparency in reported research is critical for several reasons, such as ensuring an acceptable level of trustworthiness and enabling replication. Transparency in qualitative research permits the ...

    • Deep reinforcement learning-based industrial robotic manipulation 

      Imtiaz, Muhammad Babar (Technological University of the Shannon: Midlands Midwest, 2023-09)
      Pick and place robotic systems can be found in all major industries in order to increase throughput and efficiency. But most of the pick-and-place applications in the industry today have been designed through hard-coded, ...

    • Prehensile and non-prehensile robotic pick-and-place of objects in clutter using deep reinforcement learning 

      Imtiaz, Muhammad Babar; Qiao, Yuansong; Lee, Brian (MDPI, 2023-01-29)
      In this study, we develop a framework for an intelligent and self-supervised industrial pick-and-place operation for cluttered environments. Our target is to have the agent learn to perform prehensile and non-prehensile ...

    • Skin detection and lightweight encryption for privacy protection in real-time surveillance applications 

      Shifa, Amna; Imtiaz, Muhammad Babar; Ashgar, Mamoona Naveed; Fleury, Martin (Elsevier, 2020-02)
      An individual’s privacy protection is the concerning issue in surveillance videos. Existing research work for individual’s identification on the bases of their skin detection is focused either on different human skin ...