Zobrazeno 1 - 10
of 10 609
pro vyhledávání: '"Jordan, J. A."'
Autor:
Bird, Jordan J.
The integration of new literature into the English curriculum remains a challenge since educators often lack scalable tools to rapidly evaluate readability and adapt texts for diverse classroom needs. This study proposes to address this gap through a
Externí odkaz:
http://arxiv.org/abs/2411.17593
This work presents a differentiable rendering approach that allows latent fractal flame parameters to be learned from image supervision. The approach extends the state-of-the-art in differentiable fractal rendering through support for color images, n
Externí odkaz:
http://arxiv.org/abs/2406.09328
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:
Milad Mokhtaridoost, Jordan J. Chalmers, Marzieh Soleimanpoor, Brandon J. McMurray, Daniella F. Lato, Son C. Nguyen, Viktoria Musienko, Joshua O. Nash, Sergio Espeso-Gil, Sameen Ahmed, Kate Delfosse, Jared W. L. Browning, A. Rasim Barutcu, Michael D. Wilson, Thomas Liehr, Adam Shlien, Samin Aref, Eric F. Joyce, Anja Weise, Philipp G. Maass
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Non-homologous chromosomal contacts (NHCCs) between different chromosomes participate considerably in gene and genome regulation. Due to analytical challenges, NHCCs are currently considered as singular, stochastic events, and their extent a
Externí odkaz:
https://doaj.org/article/ac9565cd1a404b17b3b13e344b9a0a2f
Publikováno v:
BMC Ophthalmology, Vol 24, Iss 1, Pp 1-6 (2024)
Abstract Background Negative dysphotopsias (ND) are visual aberrations associated with in-the-bag optic intraocular lens (IOL) placement, causing arc-shaped or linear shadows. Reverse optic capture (ROC) is employed to prevent ND, yet it poses the ri
Externí odkaz:
https://doaj.org/article/5be80a53e6074d1891c3e8f99233e2ad
Autor:
Jordan J. Sickle, William M. Mook, Frank W. DelRio, Anastasia G. Ilgen, Wendelin J. Wright, Karin A. Dahmen
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract In response to gradual nanoindentation, the surface of muscovite mica deforms by sudden stochastic nanometer-scale displacement bursts. Here, the statistics of these displacement events are interpreted using a statistical model previously us
Externí odkaz:
https://doaj.org/article/38a8305957fc46938774fddea7517d52