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John Atanbori
John Atanbori
Bestätigte E-Mail-Adresse bei lincoln.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
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
432016
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
242019
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
242018
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
192018
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
182019
Towards infield, live plant phenotyping using a reduced-parameter CNN
J Atanbori, AP French, TP Pridmore
Machine Vision and Applications 31 (1), 2, 2020
142020
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
102013
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
92023
MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layers
J Atanbori, S Rose
Neurocomputing 509, 1-10, 2022
62022
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
42015
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
22023
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
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