Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Andrew J. Ford"'
Autor:
Yee Wen Low, Sitaram Rajaraman, Crystal M. Tomlin, Joffre Ali Ahmad, Wisnu H. Ardi, Kate Armstrong, Parusuraman Athen, Ahmad Berhaman, Ruth E. Bone, Martin Cheek, Nicholas R. W. Cho, Le Min Choo, Ian D. Cowie, Darren Crayn, Steven J. Fleck, Andrew J. Ford, Paul I. Forster, Deden Girmansyah, David J. Goyder, Bruce Gray, Charlie D. Heatubun, Ali Ibrahim, Bazilah Ibrahim, Himesh D. Jayasinghe, Muhammad Ariffin Kalat, Hashendra S. Kathriarachchi, Endang Kintamani, Sin Lan Koh, Joseph T. K. Lai, Serena M. L. Lee, Paul K. F. Leong, Wei Hao Lim, Shawn K. Y. Lum, Ridha Mahyuni, William J. F. McDonald, Faizah Metali, Wendy A. Mustaqim, Akiyo Naiki, Kang Min Ngo, Matti Niissalo, Subhani Ranasinghe, Rimi Repin, Himmah Rustiami, Victor I. Simbiak, Rahayu S. Sukri, Siti Sunarti, Liam A. Trethowan, Anna Trias-Blasi, Thais N. C. Vasconcelos, Jimmy F. Wanma, Pudji Widodo, Douglas Siril A. Wijesundara, Stuart Worboys, Jing Wei Yap, Kien Thai Yong, Gillian S. W. Khew, Jarkko Salojärvi, Todd P. Michael, David J. Middleton, David F. R. P. Burslem, Charlotte Lindqvist, Eve J. Lucas, Victor A. Albert
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
The relative importance of the mechanisms underlying species radiation remains unclear. Here, the authors combine reference genome assembly and population genetics analyses to show that neutral forces have contributed to the radiation of the most spe
Externí odkaz:
https://doaj.org/article/3c5d7e1f6cc84dcaac55f6141c6a8ef6
Autor:
Siddharth Barve, Joshua Mayersky, Andrew J. Ford, Alexander Jones, Bayley King, Aaron Ruen, Rashmi Jha
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 7, Iss 2, Pp 97-105 (2021)
Many currently available hardware implementations of the unsupervised self-organizing feature map (SOFM) algorithm utilize complementary metal–oxide–semiconductor (CMOS)-only circuits that often compromise key behaviors of the SOFM algorithm due
Externí odkaz:
https://doaj.org/article/66f3762c4a0945d7a60e92ccad61c13f
Autor:
Alexander Jones, Rashmi Jha, Joshua Mayersky, Aaron Ruen, Andrew J. Ford, Siddharth Barve, Bayley King
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 7, Iss 2, Pp 97-105 (2021)
Many currently available hardware implementations of the unsupervised self-organizing feature map (SOFM) algorithm utilize complementary metal–oxide–semiconductor (CMOS)-only circuits that often compromise key behaviors of the SOFM algorithm due
Publikováno v:
PLoS ONE, Vol 9, Iss 2, p e89084 (2014)
The high concentration of the world's species in tropical forests endows these systems with particular importance for retaining global biodiversity, yet it also presents significant challenges for ecology and conservation science. The vast number of
Externí odkaz:
https://doaj.org/article/3f56a39139b440d49131b21ede7cb8fc
Publikováno v:
ACS biomaterials scienceengineering. 1(8)
The migration of cells is a complex and dynamic process that is governed by several stimuli acting simultaneously. In vivo, cells receive and process a wide range of cues that guide their motion and migratory characteristics such as speed and directi
Callmander, M.W., A.J. Ford & S. Buerki (2020). New combinations for two species in the genus Synima (Sapindaceae, Cupanieae) from Queensland (Australia). Candollea 75: 241–244. In English, English abstract.Synima Radlk. is a small genus of Sapinda
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e72993e784d03e2c62551df06d5cb3f
https://zenodo.org/record/5724881
https://zenodo.org/record/5724881
Autor:
Rashmi Jha, Andrew J. Ford
Publikováno v:
IGSC (Workshops)
A vital issue regarding hardware implementations of machine learning algorithms with novel memristive devices is the concern of the proposed architecture's resilience to high device variability. We find that most algorithms have surprisingly high tol
Publikováno v:
MWSCAS
2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS)
2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS)
Machine learning approaches are gaining popularity in the medical field for diagnostics, predictive analytics and general research. With data often being unlabeled or sparse to collect, there is a need for unsupervised learning networks in the medica
Autor:
Padmavathy Rajagopalan, Andrew J. Ford
Publikováno v:
ACS Biomaterials Science & Engineering. 4:3974-3982
The cytoplasmic stiffness of cells plays a significant role during cell migration. As a cell migrates, differences in cytoplasmic properties occur that subsequently modulate migratory behavior. The properties of the substrate to which cells are adher
Autor:
Max Falkenberg, Anthony C. Li, Alberto Ciacci, Robert Lawrence, Nicholas S. Peters, Andrew J. Ford, Kim Christensen
Publikováno v:
Physical review. E
The mechanisms of atrial fibrillation (AF) are poorly understood, resulting in disappointing success rates of ablative treatment. Different mechanisms defined largely by different atrial activation patterns have been proposed and, arguably, this disp