All Outputs (2)

Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning. (2024)
Presentation / Conference Contribution
FOUGH, F., ZHAO, Y. and SHAH, F.M. 2024. Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning. In Proceedings of the 31st IEEE (Institute of Electrical and Electronics Engineers) International conference on electronics circuits and systems 2024 (IEEE ICECS2024), 18-20 November 2024, Nancy, France. Piscataway: IEEE [online], article 10849269. Available from: https://doi.org/10.1109/ICECS61496.2024.10849269

Antimicrobial resistance (AMR) poses a serious threat to public health and serves as a vital reservoir for resistant microorganisms. Antimicrobial resistance (AMR) is an increasingly critical public health issue that requires precise and efficient me... Read More about Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning..

Tracking and estimation of surgical tool relative-pose and angle based on the vision system for surgical robot. (2024)
Presentation / Conference Contribution
MUTHUKRISHNAN, R., KANNAN, S., ZHAO, Y. and PRABHU, R. 2024. Tracking and estimation of surgical tool relative-pose and angle based on the vision system for sugical robot. Poster presented at the 3rd Medical device manufacturing centre annual conference 2024 (MDMC 2024), 23 May 2024, Glasgow, UK.

This research presents a Virtual Dynamic Tri crossbar and a Virtual Stable Graph (VDT VSG) which simplifies the task of tracing the needle angle and location in 2 D plane. In addition, Virtual Dynamic Line (helps to quantify the displacement between... Read More about Tracking and estimation of surgical tool relative-pose and angle based on the vision system for surgical robot..