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Hiroyuki Miura, Masashi Matsuoka, Juan C. Reyes, Nelson Pulido, Mitsufumi Hashimoto, Andrea C. Riaño, Alvaro Hurtado, Raul Rincon, Helber García and Carlos Lozano
Early disaster responses in damaged areas after a large earthquake are indispensable for stakeholders to assess and grasp the impacts such as building and infrastructure damage and disrupted community functionality as soon as possible. This study introdu...
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Gregorio Rosario Michel, María Ester Gonzalez-Campos, Fernando Manzano Aybar and Joep Crompvoets
The Dominican Republic (DR) is a small island developing state (SIDS) highly exposed to disaster-risk phenomena, such as earthquakes, hurricanes, etc. The Spatial Data Infrastructure (SDI) enables coordination and sharing of spatial information and servi...
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Alejandro Zunino, Guillermo Velázquez, Juan Pablo Celemín, Cristian Mateos, Matías Hirsch and Juan Manuel Rodriguez
Recent Web technologies such as HTML5, JavaScript, and WebGL have enabled powerful and highly dynamic Web mapping applications executing on standard Web browsers. Despite the complexity for developing such applications has been greatly reduced by Web map...
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Teodora Iulia Constantinescu, Oswald Devisch and Liesbeth Huybrechts
When defining participation in urban renewal projects in a political sense, this concept implies the challenging of power relations in each of its dimensions while addressing the need for knowledge, action and consciousness. Knowledge is defined as a res...
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Ross Gruetzemacher
In this paper we describe a holistic AI forecasting framework which draws on a broad body of literature from disciplines such as forecasting, technological forecasting, futures studies and scenario planning. A review of this literature leads us to propos...
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Ljubomir Gigovic, Dragan Pamucar, Zoran Bajic, Sini?a Drobnjak
Pág. 1 - 26
Floods are natural disasters with significant socio-economic consequences. Urban areas with uncontrolled urban development, rapid population growth, an unregulated municipal system and an unplanned change of land use belong to the highly sensitive areas ...
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Soojin Moon, Boosik Kang
Pág. 1 - 22
For reliable prediction of sediment yield in a watershed, fine-scale projections for hydro-climate components were first obtained using the statistical bias correction and downscaling scheme based on the combination of an Artificial Neural Network (ANN),...
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Danish Nadeem,Slavi Stoyanov,Rob Koper
Pág. pp. 41 - 46
This paper describes the needs analysis of tool for connecting people in a Learning Network using Group Concept Mapping method. We conducted an empirical study to identify the most relevant features of such a tool. There were 11 experts from 7 different ...
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