Outputs (6)

Enhancing brain tumor classification with transfer learning across multiple classes: an in-depth analysis. (2023)
Journal Article
AHMMED, S., PODDER, P., MONDAL, M.R.H., RAHMAN, S.M.A., KANNAN, S., HASAN, M.J., ROHAN, A. and PROSVIRIN, A.E. 2023. Enhancing brain tumor classification with transfer learning across multiple classes: an in-depth analysis. Biomedinformatics [online], 3(4), pages 1124-1144. Available from: https://doi.org/10.3390/biomedinformatics3040068

This study focuses on leveraging data-driven techniques to diagnose brain tumors through magnetic resonance imaging (MRI) images. Utilizing the rule of deep learning (DL), we introduce and fine-tune two robust frameworks, ResNet 50 and Inception V3,... Read More about Enhancing brain tumor classification with transfer learning across multiple classes: an in-depth analysis..

Vision based relative position estimation in surgical robotics. (2023)
Conference Proceeding
MUTHUKRISHNAN, R., KANNAN, S., PRABHU, R., ZHAO, Y., BHOWMICK, P. and HASAN, M.J. 2023. Vision based relative position estimation in surgical robotics. In Proceedings of the 2023 Network, multimedia and information technology international conference (NMITCON 2023), 1-2 September 2023, Bengaluru, India. Piscataway: IEEE [online], article number 10275973. Available from: https://doi.org/10.1109/NMITCON58196.2023.10275973

Teleoperation-based Robotic-Assisted Minimally In-vasive Surgery (RAMIS) has gained immense popularity in medical field. However, limited physical interaction between the surgeon and patient poses a significant challenge. In RAMIS, the surgeon operat... Read More about Vision based relative position estimation in surgical robotics..

Detecting and tracking the position of suspicious objects using vision system. (2023)
Conference Proceeding
MUTHUKRISHNAN, R., KANNAN, S., PRABHU, R., ZHAO, Y. and BHOWMICK, P. 2023. Detecting and tracking the position of suspicious objects using vision system. In Bouma, H., Dijk, J., Prabhu, R., Stokes, R.J. and Yitzhaky, Y. (eds.) Artificial intelligence for security and defence applications: 2023 proceedings of the SPIE (International Society of Optics and photonics) Security and defence conference, 4-5 September 2023, Amsterdam, Netherlands. Proceedings of the SPIE, 12742. Bellingham, WA: SPIE [online], article ID 127420C. Available from: https://doi.org/10.1117/12.2679801

Vision-based object tracking is crucial for both civil and military applications. A range of hazards to cyber safety, vital infrastructure, and public privacy are posed by the rise of drones, or unmanned aerial vehicles (UAV). As a result, identifyin... Read More about Detecting and tracking the position of suspicious objects using vision system..

Tracking and estimation of surgical instrument position and angle in surgical robot using vision system. (2023)
Conference Proceeding
MUTHUKRISHNAN, R., KANNAN, S., PRABHU, R., ZHAO, Y., BHOWMICK, P. and HASAN, M.J. 2023. Tracking and estimation of surgical instrument position and angle in surgical robot using vision system. In Proceedings of the 2023 Network, multimedia and information technology international conference (NMITCON 2023), 1-2 September 2023, Bengaluru, India. Piscataway: IEEE [online], article number 10275983. Available from: https://doi.org/10.1109/NMITCON58196.2023.10275983

A da Vinci robot endoscopic-camera gives surgeons a magnified 2D view of the operating area, but additional time is required to detect and estimate the location of the surgical-instrument during an operation. The main focus and novelty of this resear... Read More about Tracking and estimation of surgical instrument position and angle in surgical robot using vision system..

Tracking and estimation of surgical tool pose based on the vision system for surgical robot. (2023)
Presentation / Conference
MUTHUKRISHNAN, R., KANNAN, S., ZHAO, Y. and PRABHU, R. 2023. Tracking and estimation of surgical tool pose based on the vision system for surgical robot. Presented at the 2nd MDMC (Medical device manufacturing centre) annual conference 2023, 31 May 2023, Dundee, UK.

The aim of this research is to customise a surgical robot. 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.

A model-based tracking control scheme for nonlinear industrial processes involving joint unscented Kalman filter. (2023)
Journal Article
BHADRA, S., PANDA, A., BHOWMICK, P. and KANNAN, S. 2023. A model-based tracking control scheme for nonlinear industrial processes involving joint unscented Kalman filter. Journal of control and decision [online], Latest Articles. Available from: https://doi.org/10.1080/23307706.2023.2202183

This paper proposes a model-based reference tracking scheme for stable, MIMO, nonlinear processes. A Joint Unscented Kalman Filtering technique is exploited here to develop a stochastic model of the physical process via simultaneous estimation of the... Read More about A model-based tracking control scheme for nonlinear industrial processes involving joint unscented Kalman filter..