2 citations · 5 across the 4 of their papers we have counts for
4 papers
A Comparative Study with Traditional and Transfer Learning-enhanced Machine Learning Algorithms for Geotechnical Characterisation of Coal Spoil
Sureka Thiruchittampalam, Kuruparan Shanmugalingam, Bikram P Banarjee +2
The characterisation of materials is a prerequisite for evaluating and predicting the stability of mining waste dumps. Over the past three decades, the BHP Mitsubishi Alliance Coal…
Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images
Md Akizur Rahman, Sonit Singh, Kuruparan Shanmugalingam +4
Segmentation of the sigmoid colon is a crucial aspect of treating diverticulitis. It enables accurate identification and localisation of inflammation, which in turn helps healthcar…
Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification Systems
Adhiraj Ghosh, Kuruparan Shanmugalingam, Wen-Yan Lin
Object appearances change dramatically with pose variations. This creates a challenge for embedding schemes that seek to map instances with the same object ID to locations that are…
Corporate IT-support Help-Desk Process Hybrid-Automation Solution with Machine Learning Approach
Kuruparan Shanmugalingam, Nisal Chandrasekara, Calvin Hindle +2
Comprehensive IT support teams in large scale organizations require more man power for handling engagement and requests of employees from different channels on a 24*7 basis. Automa…