Automatic classification of flying bird species using computer vision techniques J Atanbori, W Duan, J Murray, K Appiah, P Dickinson Pattern Recognition Letters 81, 53-62, 2016 | 43 | 2016 |
Classification of bird species from video using appearance and motion features J Atanbori, W Duan, E Shaw, K Appiah, P Dickinson Ecological Informatics 48, 12-23, 2018 | 25 | 2018 |
A low-cost aeroponic phenotyping system for storage root development: unravelling the below-ground secrets of cassava (Manihot esculenta) MG Selvaraj, ME Montoya-P, J Atanbori, AP French, T Pridmore Plant Methods 15, 1-13, 2019 | 24 | 2019 |
Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN. J Atanbori, F Chen, AP French, T Pridmore Proceedings of the Computer Vision Problems in Plant Phenotyping (CVPPP), 2018 | 19 | 2018 |
Convolutional neural net-based cassava storage root counting using real and synthetic images J Atanbori, ME Montoya-P, MG Selvaraj, AP French, TP Pridmore Frontiers in Plant Science 10, 1516, 2019 | 18 | 2019 |
Towards infield, live plant phenotyping using a reduced-parameter CNN J Atanbori, AP French, TP Pridmore Machine Vision and Applications 31 (1), 2, 2020 | 14 | 2020 |
An artificial neural network model for the prediction of entrained droplet fraction in annular gas-liquid two-phase flow in vertical pipes AM Aliyu, R Choudhury, B Sohani, J Atanbori, JXF Ribeiro, SKB Ahmed, ... International Journal of Multiphase Flow 164, 104452, 2023 | 10 | 2023 |
Analysis of bat wing beat frequency using fourier transform J Atanbori, P Cowling, J Murray, B Colston, P Eady, D Hughes, I Nixon, ... Computer Analysis of Images and Patterns: 15th International Conference …, 2013 | 10 | 2013 |
MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layers J Atanbori, S Rose Neurocomputing 509, 1-10, 2022 | 6 | 2022 |
A computer vision approach to classification of birds in flight from video sequences J Atanbori, W Duan, J Murray, K Appiah, P Dickinson BMVA Press, 2015 | 5 | 2015 |
Uncovering the effect of physical conditions and surface roughness on the maximum spreading factor of impinging droplets using a supervised artificial neural network model R Choudhury, DMT Nasir, DR Kaiser, R Ghimire, DA Aliyu, DB Sohani, ... Industrial & Engineering Chemistry Research 62 (49), 21208-21221, 2023 | 2 | 2023 |
A Survey on the Application of Artificial Intelligence in the Diagnosis, Screening and Treatment of Dyslexia S ROSE, N DETHLEFS, J ATANBORI | | 2022 |
MOESM2 of A low-cost aeroponic phenotyping system for storage root development: unravelling the below-ground secrets of cassava (Manihot esculenta) M Selvaraj, M Montoya-P, J Atanbori, A French, T Pridmore Figshare, 2019 | | 2019 |
Towards low-cost image-based plant phenotyping using reduced-parameter CNN AP French, F Chen, T Pridmore, J Atanbori University of Lincoln, 2018 | | 2018 |
A computer vision approach to classification of birds in flight from video sequences K Appiah, J Atanbori, P Dickinson, W Duan, J Murray University of Lincoln, 2015 | | 2015 |
Analysis of wing beat frequency using computer vision J Atanbori, P Cowling, J Murray, B Colston, P Eady, D Hughes, ... http://www.bats.org.uk/data/files/abstracts_2013.pdf, 2013 | | 2013 |
Analysis of bat wing beat frequency using Fourier transform D Hughes, I Nixon, P Cowling, J Atanbori, B Colston, P Dickinson, P Eady, ... University of Lincoln, 2013 | | 2013 |
CNN-Based Cassava Storage Root Counting Using Real and Synthetic Images J Atanbori, M Montoya, M Selvaraj, AP French, TP Pridmore Frontiers in Plant Science 10, 0 | | |