Zobrazeno 1 - 10
of 660
pro vyhledávání: '"Geoffrey A Fox"'
Autor:
Kanishk Jain, Matthew R Marunde, Jonathan M Burg, Susan L Gloor, Faith M Joseph, Karl F Poncha, Zachary B Gillespie, Keli L Rodriguez, Irina K Popova, Nathan W Hall, Anup Vaidya, Sarah A Howard, Hailey F Taylor, Laylo Mukhsinova, Ugochi C Onuoha, Emily F Patteson, Spencer W Cooke, Bethany C Taylor, Ellen N Weinzapfel, Marcus A Cheek, Matthew J Meiners, Geoffrey C Fox, Kevin EW Namitz, Martis W Cowles, Krzysztof Krajewski, Zu-Wen Sun, Michael S Cosgrove, Nicolas L Young, Michael-Christopher Keogh, Brian D Strahl
Publikováno v:
eLife, Vol 12 (2023)
In nucleosomes, histone N-terminal tails exist in dynamic equilibrium between free/accessible and collapsed/DNA-bound states. The latter state is expected to impact histone N-termini availability to the epigenetic machinery. Notably, H3 tail acetylat
Externí odkaz:
https://doaj.org/article/4578fc571e78426c9ad347f2e09aa9c9
Publikováno v:
GeoHazards, Vol 3, Iss 2, Pp 199-226 (2022)
We review previous approaches to nowcasting earthquakes and introduce new approaches based on deep learning using three distinct models based on recurrent neural networks and transformers. We discuss different choices for observables and measures pre
Externí odkaz:
https://doaj.org/article/e7990b13cdff4703bbbfbcea048899fa
Publikováno v:
Surveys in Geophysics. 43:483-501
The earthquake cycle of stress accumulation and release is associated with the elastic rebound hypothesis proposed by H.F. Reid following the M7.9 San Francisco earthquake of 1906. However, observing details of the actual values of time- and space-de
Autor:
Clayton A. Davis, Giovanni Luca Ciampaglia, Luca Maria Aiello, Keychul Chung, Michael D. Conover, Emilio Ferrara, Alessandro Flammini, Geoffrey C. Fox, Xiaoming Gao, Bruno Gonçalves, Przemyslaw A. Grabowicz, Kibeom Hong, Pik-Mai Hui, Scott McCaulay, Karissa McKelvey, Mark R. Meiss, Snehal Patil, Chathuri Peli Kankanamalage, Valentin Pentchev, Judy Qiu, Jacob Ratkiewicz, Alex Rudnick, Benjamin Serrette, Prashant Shiralkar, Onur Varol, Lilian Weng, Tak-Lon Wu, Andrew J. Younge, Filippo Menczer
Publikováno v:
PeerJ Computer Science, Vol 2, p e87 (2016)
The study of social phenomena is becoming increasingly reliant on big data from online social networks. Broad access to social media data, however, requires software development skills that not all researchers possess. Here we present the IUNI Observ
Externí odkaz:
https://doaj.org/article/83786ca3295e4ac98893ddc06538a76b
Autor:
Jack Dongarra, Geoffrey C. Fox, Terry Moore, Daniel A. Reed, Nicola J. Ferrier, Pete Beckman, Micah Beck
Publikováno v:
Fog Computing
Autor:
Bokyoon Na, Geoffrey C. Fox
Publikováno v:
Advances in Science, Technology and Engineering Systems Journal. 5:476-483
Autor:
Kanishk Jain, Matthew R Marunde, Jonathan M Burg, Susan L Gloor, Faith M Joseph, Karl F Poncha, Zachary B Gillespie, Keli L Rodriguez, Irina K Popova, Nathan W Hall, Anup Vaidya, Sarah A Howard, Hailey F Taylor, Laylo Mukhsinova, Ugochi C Onuoha, Emily F Patteson, Spencer W Cooke, Bethany C Taylor, Ellen N Weinzapfel, Marcus A Cheek, Matthew J Meiners, Geoffrey C Fox, Kevin EW Namitz, Martis W Cowles, Krzysztof Krajewski, Zu-Wen Sun, Michael S Cosgrove, Nicolas Young, Michael-C Keogh, Brian D Strahl
In nucleosomes, histone N-terminal tails exist in dynamic equilibrium between free/accessible and collapsed/DNA-bound states. The latter state is expected to impact histone N-termini availability to the epigenetic machinery. Notably, H3 tail acetylat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56293051dfd39cb6a2645e19d0fa20ad
https://doi.org/10.1101/2022.02.28.482307
https://doi.org/10.1101/2022.02.28.482307
Publikováno v:
GeoHazards; Volume 3; Issue 2; Pages: 199-226
We review previous approaches to nowcasting earthquakes and introduce new approaches based on deep learning using three distinct models based on recurrent neural networks and transformers. We discuss different choices for observables and measures pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c20344bba1cb0d172543fd2488a973cd
http://arxiv.org/abs/2201.01869
http://arxiv.org/abs/2201.01869
Publikováno v:
Earth and Space Science, Vol 8, Iss 12, Pp n/a-n/a (2021)
We propose a new machine learning‐based method for nowcasting earthquakes to image the time‐dependent earthquake cycle. The result is a timeseries that may correspond to the process of stress accumulation and release. The timeseries are construct
Autor:
Gurhan Gunduz, Ahmet Uyar, Chathura Widanage, Kannan Govindarajan, Selahattin Akkas, Vibhatha Abeykoon, Supun Kamburugamuve, Pulasthi Wickramasinghe, Geoffrey C. Fox, Niranda Perera
Publikováno v:
Concurrency and Computation: Practice and Experience. 34