Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Mark Purcell"'
Autor:
Mark Purcell
Publikováno v:
Digital Geography and Society, Vol 3, Iss , Pp 100035- (2022)
This paper examines what I call the project for democracy, by which I mean a perpetual individual-and-collective project to manage our affairs ourselves, in all areas of our lives. The goal of the paper is to understand better what that project entai
Externí odkaz:
https://doaj.org/article/081ddffad0804971931666b04e3d2ce3
Publikováno v:
Energies, Vol 11, Iss 6, p 1609 (2018)
Measurements taken before and after the commissioning of three wind farms reveal that the wind speeds just upstream of each wind farm decrease relative to locations farther away after the turbines are turned on. At a distance of two rotor diameters u
Externí odkaz:
https://doaj.org/article/dbf351a8a34a43769eba3d70513b8e22
Autor:
Mark Purcell
Publikováno v:
Urban Studies. 59:3041-3059
The purpose of this article is to theorise space in a way that resonates with democracy. It develops a radical understanding of democracy, as an affirmative project undertaken by people to directly manage their affairs themselves. To theorise space,
Autor:
Seshu Tirupathi, Dhaval Salwala, Giulio Zizzo, Ambrish Rawat, Mark Purcell, Soren Kejser Jensen, Christian Thomsen, Nguyen Ho, Carlos E. Muniz Cuza, Jonas Brusokas, Torben Bach Pedersen, Giorgos Alexiou, Giorgos Giannopoulos, Panagiotis Gidarakos, Alexandros Kalimeris, Stavros Maroulis, George Papastefanatos, Ioannis Psarros, Vassilis Stamatopoulos, Manolis Terrovitis
Publikováno v:
Tirupathi, S, Salwala, D, Zizzo, G, Rawat, A, Purcell, M, Jensen, S K, Thomsen, C, Ho, N, Cuza, C E M, Brusokas, J, Pedersen, T B, Alexiou, G, Giannopoulos, G, Gidarakos, P, Kalimeris, A, Maroulis, S, Papastefanatos, G, Psarros, I, Stamatopoulos, V & Terrovitis, M 2022, Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data . in S Tsumoto, Y Ohsawa, L Chen, D Van den Poel, X Hu, Y Motomura, T Takagi, L Wu, Y Xie, A Abe & V Raghavan (eds), 2022 IEEE International Conference on Big Data (Big Data) ., 10020540, IEEE Communications Society, pp. 3179-3185, 2022 IEEE International Conference on Big Data (Big Data), 17/12/2022 . https://doi.org/10.1109/BigData55660.2022.10020540
With the lowering costs of sensors, high-volume and high-velocity data are increasingly being generated and analyzed, especially in IoT domains like energy and smart homes. Consequently, applications that require accurate short-term forecasts and pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a2118a8cdcd489e5491601b574f9032
https://vbn.aau.dk/da/publications/771ac3a1-1afc-44d3-b442-4f64c86ec4e0
https://vbn.aau.dk/da/publications/771ac3a1-1afc-44d3-b442-4f64c86ec4e0
Autor:
Mark Purcell
Publikováno v:
Reflections on Post-marxism ISBN: 9781529221831
Reflections on Post-Marxism ISBN: 9781529221855
Reflections on Post-Marxism ISBN: 9781529221855
This chapter asks whether Laclau and Mouffe are the right theoretical partners for thinking about the project of democracy today. It concludes that they still have quite a lot to offer that project, but it also suggests we should be wary of embracing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fa09cbc262f1d86caccba7dfeb82612
https://doi.org/10.1332/policypress/9781529221831.003.0002
https://doi.org/10.1332/policypress/9781529221831.003.0002
Autor:
Mark Purcell
Publikováno v:
Transactions of the Institute of British Geographers. 46:223-235
Autor:
Mark Purcell
Publikováno v:
Literary Urban Studies ISBN: 9783031130472
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bf1bc40a977b96b98cf2fa4b67229b8
https://doi.org/10.1007/978-3-031-13048-9_2
https://doi.org/10.1007/978-3-031-13048-9_2
Autor:
Susanna Bonura, Davide dalle Carbonare, Roberto Díaz-Morales, Ángel Navia-Vázquez, Mark Purcell, Stephanie Rossello
Publikováno v:
Data Spaces ISBN: 9783030986353
Despite the need for data in a time of general digitization of organizations, many challenges are still hampering its shared use. Technical, organizational, legal, and commercial issues remain to leverage data satisfactorily, specially when the data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d9536597f071aa2262b13ed2beb9653
https://doi.org/10.1007/978-3-030-98636-0_5
https://doi.org/10.1007/978-3-030-98636-0_5
Autor:
Susanna Bonura, Davide Dalle Carbonare, Roberto Díaz-Morales, Marcos Fernández-Díaz, Lucrezia Morabito, Luis Muñoz-González, Chiara Napione, Ángel Navia-Vázquez, Mark Purcell
Publikováno v:
Technologies and Applications for Big Data Value ISBN: 9783030783068
The quality of a machine learning model depends on the volume of data used during the training process. To prevent low accuracy models, one needs to generate more training data or add external data sources of the same kind. If the first option is not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb86a13094dc36ec0d044f8ab6972121
https://doi.org/10.1007/978-3-030-78307-5_6
https://doi.org/10.1007/978-3-030-78307-5_6
Publikováno v:
The Computer Journal. 63:179-192
Electricity is a major cost in running a data centre, and servers are responsible for a significant percentage of the power consumption. Given the widespread use of HTTP, both as a service and a component of other services, it is worthwhile reducing