Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Luke Riley"'
Publikováno v:
Cybergeo (2022)
This paper is about the relevance of proposing geovisualization methods to visually integrate, co-visualize and interact with urban and meteorological data into a 3D environment, in order to support the visual analysis of the urban climate. Meteorolo
Externí odkaz:
https://doaj.org/article/d12e4234c2b3421d928ec1d03fccfd00
Autor:
Hola Kwame Adrakey, Sylvie Malembic-Maher, Adrien Rusch, Jean-Sauveur Ay, Luke Riley, Lovasoa Ramalanjaona, Frederic Fabre
Publikováno v:
Phytopathology®. 112:1686-1697
Flavescence dorée (FD) is a quarantine disease threatening European vineyards. Its management is based on mandatory insecticide treatments and the uprooting of infected plants identified during annual surveys. Field surveys are currently not optimiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::978ef2eedcdd5c2bc23769d05e815999
https://doi.org/10.1094/phyto-10-21-0449-r
https://doi.org/10.1094/phyto-10-21-0449-r
Securely transferring tokenised assets between largely non-interoperable blockchain networks is a great challenge to take on. Implementations must coordinate transactions on multiple blockchain networks which have inherently different characteristics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70311b9334e0d034afd9aeee8694a614
https://doi.org/10.36227/techrxiv.22285183
https://doi.org/10.36227/techrxiv.22285183
Entrepreneurs, enterprises, and governments are using distributed ledger technology (DLT) as a component of complex information systems, and therefore interoperability capabilities are required. Interoperating DLTs enables network effects, synergies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23dae65c5bfcbc6f45559d0b78e164c0
https://doi.org/10.36227/techrxiv.18786527.v1
https://doi.org/10.36227/techrxiv.18786527.v1
This work discusses the potential of a blockchain based infrastructure for a decentralised online voting platform. When compared to paper based voting, online voting can vastly increase the speed that votes can be counted, expand the overall accessib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e21de75ea222eaf6e072aa52ae7bc5bf
http://eprints.lse.ac.uk/111967/
http://eprints.lse.ac.uk/111967/
Augmenting an Internet Voting System with Selene Verifiability using Permissioned Distributed Ledger
Autor:
Muntadher Sallal, Steve Schneider, François Dupressoir, Helen Treharne, Luke Riley, Phil Wright, Catalin Dragan, Matthew Casey
Publikováno v:
ICDCS
This paper discusses an approach for incremental change to an online voting system, introducing a verifiability layer based on the Selene protocol to a trusted-third-party-based system, resulting in a fully verifiable and transparent e-voting system.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8610bce2938e5bb42e5669e1af35abe0
https://doi.org/10.1109/icdcs47774.2020.00124
https://doi.org/10.1109/icdcs47774.2020.00124
Akademický článek
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Voting Over a Distributed Ledger: An Interdisciplinary Perspective presents the case that electronic voting can improve accessibility, leading to some positive outcomes. It can also lead to faster counting and can be cost efficient. The authors docum
Publikováno v:
Engineering Multi-Agent Systems ISBN: 9783319509822
EMAS@AAMAS
ENGINEERING MULTI-AGENT SYSTEMS, EMAS 2016
EMAS@AAMAS
ENGINEERING MULTI-AGENT SYSTEMS, EMAS 2016
The notion of the multi-agent interconnected scientific laboratory has long appealed to scientists and laboratory managers alike. However, the challenge has been the nature of the laboratory resources to be interconnected, which typically do not feat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3cb89e19fe0fddce84396d9585251e5
https://doi.org/10.1007/978-3-319-50983-9_1
https://doi.org/10.1007/978-3-319-50983-9_1
Publikováno v:
Big Data Analytics and Knowledge Discovery ISBN: 9783319227283
DaWaK
DaWaK
A data stream mining mechanism for predicting instrument failure, founded on the concept of time series analysis, is presented. The objective is to build a model that can predict instrument failure so that some mitigation can be invoked so as to prev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fd3d4f7b585b0985f168ca7f5b02b01
https://doi.org/10.1007/978-3-319-22729-0_22
https://doi.org/10.1007/978-3-319-22729-0_22