Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Samson Damilola Fabiyi"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 12312-12331 (2021)
The rich spectral information provided by hyperspectral imaging has made this technology very useful in the classification of remotely sensed data. However, classification of hyperspectral data is typically affected by noise and the Hughes phenomenon
Externí odkaz:
https://doaj.org/article/de7f5b19d12e403793f4ee8301a8d3f2
Autor:
Samson Damilola Fabiyi, Hai Vu, Christos Tachtatzis, Paul Murray, David Harle, Trung Kien Dao, Ivan Andonovic, Jinchang Ren, Stephen Marshall
Publikováno v:
IEEE Access, Vol 8, Pp 22493-22505 (2020)
Inspection of rice seeds is a crucial task for plant nurseries and farmers since it ensures seed quality when growing seedlings. Conventionally, this process is performed by expert inspectors who manually screen large samples of rice seeds to identif
Externí odkaz:
https://doaj.org/article/a7aa915823fe4a9ea3b567ee51315448
Publikováno v:
2022 3rd International Informatics and Software Engineering Conference (IISEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b355f13b92257e55a0986dd77ec4200f
https://doi.org/10.1109/iisec56263.2022.9998297
https://doi.org/10.1109/iisec56263.2022.9998297
Autor:
Samson Damilola Fabiyi
Publikováno v:
International Journal of Computer Applications. 181:22-26
Artificial Neural Networks (ANNs) are models formulated to mimic the learning capability of human brains. Learning in ANNs can be categorized into supervised, reinforcement and unsupervised learning. Application of supervised ANNs is limited to when
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::302c4614ca1c01437c04841ffa801567
https://doi.org/10.5120/ijca2019918425
https://doi.org/10.5120/ijca2019918425
Autor:
Trung-Kien Dao, Hai Vu, Paul Murray, Ivan Andonovic, Christos Tachtatzis, Jinchang Ren, Stephen Marshall, David Harle, Samson Damilola Fabiyi
Publikováno v:
IEEE Access, Vol 8, Pp 22493-22505 (2020)
IEEE Access
IEEE Access
Inspection of rice seeds is a crucial task for plant nurseries and farmers since it ensures seed quality when growing seedlings. Conventionally, this process is performed by expert inspectors who manually screen large samples of rice seeds to identif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28e6356b492f45f5bcfd065f38e83817
Autor:
Paul Murray, Ivan Andonovic, Jinchang Ren, Stephen Marshall, Trung-Kien Dao, Samson Damilola Fabiyi, Christos Tachtatzis, David Harle, Hai Vu
Publikováno v:
University of Strathclyde
IEEE Africon 2019
AFRICON
IEEE Africon 2019
AFRICON
Contamination of rice seeds affects the crop quality, yield and price. Inspection of rice seeds for purity is a very important step for quality assessment. Promising results have been achieved using hyperspectral imaging (HSI) for classification of r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::521d69a83aef810f7e1ca838dd790f19
https://pureportal.strath.ac.uk/en/publications/f4e47cc5-12b4-40c6-b760-6e8fd22bfdd4
https://pureportal.strath.ac.uk/en/publications/f4e47cc5-12b4-40c6-b760-6e8fd22bfdd4
