The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform
Celso M. Ferreira - One of the best experts on this subject based on the ideXlab platform.
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Advancing real-time flood prediction in large estuaries: iFLOOD a fully coupled surge-wave automated web-based guidance system
Environmental Modelling & Software, 2020Co-Authors: Arslaan Khalid, Celso M. FerreiraAbstract:Abstract Real-time flood forecasting computational frameworks that can dynamically integrate oceanic, coastal and estuarine processes are becoming essential to provide accurate and timely information for emergency response and planning in largely populated estuaries during extreme events. This study presents a newly developed real-time total water flood guidance system that is fully automated based on the coupled surge-wave (ADCIRC + SWAN) model and provides water level forecasts in the Chesapeake Bay for a lead-time of 84 h twice a day displayed on a web-based Public Interface. This system improved the current total water level predictions in the Bay (RMSE
Arslaan Khalid - One of the best experts on this subject based on the ideXlab platform.
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Advancing real-time flood prediction in large estuaries: iFLOOD a fully coupled surge-wave automated web-based guidance system
Environmental Modelling & Software, 2020Co-Authors: Arslaan Khalid, Celso M. FerreiraAbstract:Abstract Real-time flood forecasting computational frameworks that can dynamically integrate oceanic, coastal and estuarine processes are becoming essential to provide accurate and timely information for emergency response and planning in largely populated estuaries during extreme events. This study presents a newly developed real-time total water flood guidance system that is fully automated based on the coupled surge-wave (ADCIRC + SWAN) model and provides water level forecasts in the Chesapeake Bay for a lead-time of 84 h twice a day displayed on a web-based Public Interface. This system improved the current total water level predictions in the Bay (RMSE
Kazuyuki Shudo - One of the best experts on this subject based on the ideXlab platform.
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estimating the clustering coefficient of a social network by a non backtracking random walk
International Conference on Big Data and Smart Computing, 2018Co-Authors: Kenta Iwasaki, Kazuyuki ShudoAbstract:The clustering coefficient of social networks can be estimated via an unbiased sampling technique such as random walk sampling. To this end, we propose an algorithm that assumes no prior knowledge of the network and that accesses the network only through a Publicly available Interface. The clustering coefficient of a network is estimated by counting triangles in a non-backtracking random walk (NBRW). A social network is viewed as an undirected graph and the NBRW is retrieved through a Public Interface, which theoretically guarantees its retrieval. In a simulation study on real social networks, the proposed method achieved higher efficiency and accuracy than the prior state-of-the-art method based on a simple random walk.
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BigComp - Estimating the Clustering Coefficient of a Social Network by a Non-backtracking Random Walk
2018 IEEE International Conference on Big Data and Smart Computing (BigComp), 2018Co-Authors: Kenta Iwasaki, Kazuyuki ShudoAbstract:The clustering coefficient of social networks can be estimated via an unbiased sampling technique such as random walk sampling. To this end, we propose an algorithm that assumes no prior knowledge of the network and that accesses the network only through a Publicly available Interface. The clustering coefficient of a network is estimated by counting triangles in a non-backtracking random walk (NBRW). A social network is viewed as an undirected graph and the NBRW is retrieved through a Public Interface, which theoretically guarantees its retrieval. In a simulation study on real social networks, the proposed method achieved higher efficiency and accuracy than the prior state-of-the-art method based on a simple random walk.
Ilze Kivleniece - One of the best experts on this subject based on the ideXlab platform.
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The Private Scope in Public–Private Collaborations: An Institutional and Capability-Based Perspective
Organization Science, 2019Co-Authors: Bertrand Quelin, Sandro Cabral, Sergio G. Lazzarini, Ilze KivlenieceAbstract:There has been a growing interest in the organization of business activities at the Public Interface as illustrated by the emergent phenomenon of Public–private partnerships (PPPs). In this study, ...
Estelle Liebenberg-barkhuizen - One of the best experts on this subject based on the ideXlab platform.
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Women on display : representation or stereotypes? : session 5 : interpretations, representations and Public Interface (Part 2)
South African Museums Association Bulletin, 2002Co-Authors: Estelle Liebenberg-barkhuizenAbstract:At the Cape Town Triennial in 1988 the South African artist, Penny Siopis exhibited a collage-type work entitled 'Patience on a Monument: A History Painting'. The painting consists of a semi-nude black woman sitting on a pile of junk within a landscape filled with what appears to be debris. Closer inspection reveals that the debris is made up of archivally-derived images depicting familiar South African historical events, individuals, stereotypical representations of 'savages': the Boers, the Red Coats, the landing of Jan van Riebeeck, images of Sarah Baartman. Patience is a black woman, semi-clothed, and she seems unaware of her environment. Yet, she skillfully performs the domestic activity of peeling lemons.