Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Mark Gahegan"'
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-16 (2022)
Abstract Background Addressing the laborious nature of traditional biological experiments by using an efficient computational approach to analyze RNA-binding proteins (RBPs) binding sites has always been a challenging task. RBPs play a vital role in
Externí odkaz:
https://doaj.org/article/f1c63a07519449da9e1d016d6788cd1e
Publikováno v:
International Journal of Behavioral Nutrition and Physical Activity, Vol 15, Iss 1, Pp 1-10 (2018)
Abstract Background Evidence on whether healthy diets are more expensive than current diets is mixed due to lack of robust methodology. The aim of this study was to develop a novel methodology to model the cost differential between healthy and curren
Externí odkaz:
https://doaj.org/article/bdb6290aea67410bbb43f43cef92583d
Publikováno v:
Sensors, Vol 21, Iss 21, p 7352 (2021)
The study of coastal processes is critical for the protection and development of beach amenities, infrastructure, and properties. Many studies of beach evolution rely on data collected using remote sensing and show that beach evolution can be charact
Externí odkaz:
https://doaj.org/article/38fde0fed4da436ea79965ced0f762ac
Autor:
Antoni Moore, Mark Gahegan
Publikováno v:
Journal of Spatial Information Science, Vol 2020, Iss 21, Pp 175-176 (2020)
Externí odkaz:
https://doaj.org/article/c7bdf4f5a00c4288866d2e28b710e1ca
Publikováno v:
Transactions in Gis
Transactions in GIS
Transactions in GIS
This article describes two spatially‐explicit models created to allow experimentation with different societal responses to the COVID19 pandemic. We outline the work to date on modelling spatially‐explicit infective diseases and show that there ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50f859a945d75abbcb8123f4c4b102b2
https://doi.org/10.1111/tgis.12660
https://doi.org/10.1111/tgis.12660
Autor:
Mark Gahegan, Prashant Gupta
Publikováno v:
Transactions in GIS. 24:291-314
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8615dd4e7c272aaa8feb8a1265ffbfe
https://doi.org/10.1111/tgis.12602
https://doi.org/10.1111/tgis.12602
Publikováno v:
Sensors, Vol 21, Iss 7352, p 7352 (2021)
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 21
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 21
The study of coastal processes is critical for the protection and development of beach amenities, infrastructure, and properties. Many studies of beach evolution rely on data collected using remote sensing and show that beach evolution can be charact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb82160dd4a53d8481b2e249acfb31d9
https://pubmed.ncbi.nlm.nih.gov/34770659
https://pubmed.ncbi.nlm.nih.gov/34770659
Autor:
Mark Gahegan
Publikováno v:
International Journal of Geographical Information Science. 34:1-21
This article discusses the prospects for automated discovery of explanatory models directly from geospatial data. Rather than taking an approach based on machine learning, which generally leads to...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ccd69f4987efa125df02ecaea18430f
https://doi.org/10.1080/13658816.2019.1652304
https://doi.org/10.1080/13658816.2019.1652304
Autor:
Mark Gahegan, Antoni Moore
Publikováno v:
Journal of Spatial Information Science, Vol 2020, Iss 21, Pp 175-176 (2020)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e7cb92156a6d9e82242c2cf0858ffe4
https://doi.org/10.5311/josis.2020.21.728
https://doi.org/10.5311/josis.2020.21.728
Autor:
Mark Gahegan
Publikováno v:
Geographic Information Science & Technology Body of Knowledge. 2020
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1595cab2ea02fb926573ec991799de0
https://doi.org/10.22224/gistbok/2020.3.8
https://doi.org/10.22224/gistbok/2020.3.8