Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Bird, Jordan J."'
Autor:
Alex, Ajay John, Barnes, Chloe M., Machado, Pedro, Ihianle, Isibor, Markó, Gábor, Bencsik, Martin, Bird, Jordan J.
In an era of rapid climate change and its adverse effects on food production, technological intervention to monitor pollinator conservation is of paramount importance for environmental monitoring and conservation for global food security. The surviva
Externí odkaz:
http://arxiv.org/abs/2405.15428
Autor:
Gazzard, Matthew, Hicks, Helen, Ihianle, Isibor Kennedy, Bird, Jordan J., Hasan, Md Mahmudul, Machado, Pedro
Blackgrass (Alopecurus myosuroides) is a competitive weed that has wide-ranging impacts on food security by reducing crop yields and increasing cultivation costs. In addition to the financial burden on agriculture, the application of herbicides as a
Externí odkaz:
http://arxiv.org/abs/2405.07349
Autor:
Kar, Purna, Bird, Jordan J., Xing, Yangang, Sumich, Alexander, Knight, Andrew, Lotfi, Ahmad, van Barthold, Benedict Carpenter
Biophilia is an innate love for living things and nature itself that has been associated with a positive impact on mental health and well-being. This study explores the application of deep learning methods for the classification of Biophilic artwork,
Externí odkaz:
http://arxiv.org/abs/2403.05394
Autor:
Monari, Dennis, Larkin, Jack, Machado, Pedro, Bird, Jordan J., Ihianle, Isibor Kennedy, Yahaya, Salisu Wada, Tash, Farhad Fassihi, Hasan, Md Mahmudul, Lotfi, Ahmad
Invasive signal crayfish have a detrimental impact on ecosystems. They spread the fungal-type crayfish plague disease (Aphanomyces astaci) that is lethal to the native white clawed crayfish, the only native crayfish species in Britain. Invasive signa
Externí odkaz:
http://arxiv.org/abs/2401.06157
Explainability is an aspect of modern AI that is vital for impact and usability in the real world. The main objective of this paper is to emphasise the need to understand the predictions of Computer Vision models, specifically Convolutional Neural Ne
Externí odkaz:
http://arxiv.org/abs/2312.05975
Autor:
Bird, Jordan J., Lotfi, Ahmad
There are growing implications surrounding generative AI in the speech domain that enable voice cloning and real-time voice conversion from one individual to another. This technology poses a significant ethical threat and could lead to breaches of pr
Externí odkaz:
http://arxiv.org/abs/2308.12734
Autor:
Bird, Jordan J., Lotfi, Ahmad
Recent technological advances in synthetic data have enabled the generation of images with such high quality that human beings cannot tell the difference between real-life photographs and Artificial Intelligence (AI) generated images. Given the criti
Externí odkaz:
http://arxiv.org/abs/2303.14126
Autor:
Bird, Jordan J.
This study explores how robots and generative approaches can be used to mount successful false-acceptance adversarial attacks on signature verification systems. Initially, a convolutional neural network topology and data augmentation strategy are exp
Externí odkaz:
http://arxiv.org/abs/2204.07246
Autor:
Alex, Ajay John, Barnes, Chloe M., Machado, Pedro, Ihianle, Isibor, Markó, Gábor, Bencsik, Martin, Bird, Jordan J.
Publikováno v:
In Computers and Electronics in Agriculture January 2025 228
