| Clean-in-place monitoring of different food fouling materials using ultrasonic measurements J Escrig, E Woolley, S Rangappa, A Simeone, NJ Watson Food Control 104, 358-366, 2019 | 37 | 2019 |
| Ultrasonic measurements and machine learning for monitoring the removal of surface fouling during clean-in-place processes J Escrig-Escrig, A Simeone, E Woolley, S Rangappa, A Rady, N Watson Loughborough University, 0 | 26* | |
| Tracking and identification for football video analysis using deep learning S Rangappa, B Li, R Qian Thirteenth International Conference on Machine Vision 11605, 448-456, 2021 | 9 | 2021 |
| Automatic counting and classification of silkworm eggs using deep learning S Rangappa, A Ajay, GS Rajanna Machine learning algorithms and applications, 23-39, 2021 | 5 | 2021 |
| Establishing the performance of low-cost Lytro cameras for 3D coordinate geometry measurements S Rangappa, R Matharu, J Petzing, P Kinnell Machine Vision and Applications 30, 615-627, 2019 | 4 | 2019 |
| The suitability of lightfield camera depth maps for coordinate measurement applications S Rangappa, M Tailor, J Petzing, P Kinnell, M Jackson Eighth International Conference on Machine Vision (ICMV 2015) 9875, 434-439, 2015 | 4 | 2015 |
| In-situ fibre-based surface profile measurement system using low coherence interferometer RS Matharu, T Hovell, J Petzing, S Rangappa, L Justham, P Kinnell Optical Sensing and Detection V 10680, 293-298, 2018 | | 2018 |
| Absolute depth using low-cost light field cameras S Rangappa Loughborough University, 2018 | | 2018 |