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EXPLORING NETWORKED IDENTITY AND TRANSNATIONAL MOBILIZATION IN UKRAINE'S EUROMAIDAN PROTEST
2020
Selected Papers of Internet Research, SPIR
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Triangulating semantic mapping data from online diasporic communities on Facebook with in-depth interviews, we show how diaspora members engaged in the protest despite distance and how their activity and ...
This study contributes to the broader scholarship on studying transnational mediated protest participation by examining a case of diasporic mobilization of the Ukrainian community in the United States. ...
Findings The semantic networks from each of the Facebook groups in the U.S. reveal broad similarities in the structure of diasporic discourse about Euromaidan (see maps in Figures 1-3 in Appendices). ...
doi:10.5210/spir.v2020i0.11263
fatcat:gywmrtk2w5fdrd7primrgqlwlm
Explainable Semantic Mapping for First Responders
[article]
2019
arXiv
pre-print
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One of the key challenges in the semantic mapping problem in postdisaster environments is how to analyze a large amount of data efficiently with minimal supervision. ...
To address this challenge, we propose a deep learning-based semantic mapping tool consisting of three main ideas. ...
This work should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory of the U.S. Government. The U.S. ...
arXiv:1910.07093v1
fatcat:53xbmddo6jewpafns7oxiszprq
Improving Community Resiliency and Emergency Response With Artificial Intelligence
[article]
2020
arXiv
pre-print
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Our tool consists of encoding multiple layers of open source geospatial data including flood risk location, road network strength, inundation maps that proxy inland flooding and computer vision semantic ...
Even though our system could be used in a number of use cases where people are forced from one location to another, we demonstrate the feasibility of our system for the use case of Hurricane Florence in ...
Version 1.2 (March 2018) of the NWM currently predicts stream flow for the United States, but operational inundation maps for inland flooding across the entire continental U.S. are still being tested. ...
arXiv:2005.14212v1
fatcat:zk7bhxlnzfa2hl7vnc7axonsr4
Spatial Data Infrastructures
2017
Geographic Information Science & Technology Body of Knowledge
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2017 pre-print arXiv:1707.03969v1 fatcat:w7ctwg54mjfy5cgaqhcrcs6rwaOther Versions
In this chapter, we will present the concepts and values of SDIs, as well as a brief history of SDI development in the U.S. ...
These resources may include maps, data, geospatial services, and tools. ...
Figure 1 shows the user interface of Data.gov, a geoportal for the U.S. government open data. ...
doi:10.22224/gistbok/2017.2.1
fatcat:hbm4heu7rjbn7jqkko464zivxi
Page 461 of Neural Computation Vol. 8, Issue 2
[page]
1996
Neural Computation
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To order, send check or money order—drawn on a U.S. bank in U.S. funds, payable to Journal of Cognitive Neuroscience—or your AMEX, MC, or VISA number to:
MIT Press Journals
Circulation Department * 55 ...
Hillis & Alfonso Caramazza
Functional Mapping of Sequence Learning in Normal Humans
Scott T. Grafton, Eliot Hazeltine & Richard Ivry
Who Did What and When? ...
Page 1341 of Neural Computation Vol. 8, Issue 6
[page]
1996
Neural Computation
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Gazzaniga
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“This title, the official publication of the Cognitive Neuroscience Institute, intends to serve as a ‘single forum for research on the'biological bases of mental events.’ ...
To order, send check or money order—drawn on a U.S. bank in U.S. funds, payable to Journal of Cognitive Neuroscience—or your AMEX, MC, or VISA number to:
MIT Press Journals Circulation Department * 55 ...
A Low-Cost High-Performance Semantic and Physical Distance Calculation Method Based on ZIP Code
2022
IEICE transactions on information and systems
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To address this issue, firstly, we convert the zip code and street house number into vectors instead of textual address information to reduce the cost of spatial vector calculation. ...
Finally, to verify the validity of our proposed method, we utilize the US zip code data to calculate both semantic and physical distances and compare their results with the previous method. ...
Acknowledgments This is a product of research activity of Institute of Advanced Technology, Center for Sciences towards Symbiosis among Human, Machine and Data which was financially supported by the Kyoto ...
doi:10.1587/transinf.2021dap0005
fatcat:ptujwrsiwvguxdkjc4pjp3dpbi
Detection of GAN-synthesized street videos
[article]
2021
arXiv
pre-print
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The goal of this paper is to investigate the detectability of a new kind of AI-generated videos framing driving street sequences (here referred to as DeepStreets videos), which, by their nature, can not ...
Yet, new tools for the generation of such kind of videos are being developed at a fast pace and will soon reach the quality level of deepfake videos. ...
and AFRL or the U.S. ...
arXiv:2109.04991v2
fatcat:jornwtzr2fd7dcy4betca3zjlu
Language Encodes Geographical Information
2009
Cognitive Science
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The mathematical technique Latent Semantic Analysis applied to newspaper texts produced similarity ratings between the 50 cities that allowed for a multidimensional scaling (MDS) of these cities. ...
MDS coordinates correlated with the actual longitude and latitude of these cities, showing that cities that are located together share similar semantic contexts. ...
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding institution. ...
doi:10.1111/j.1551-6709.2008.01003.x
pmid:21585463
fatcat:fz6knuazbjfcjlg5sxs4ecbaiq
Analyzing Green View Index and Green View Index best path using Google Street View and deep learning
[article]
2022
arXiv
pre-print
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The semantic segmentation model is adopted to segment the Osaka City street view images and analyse the Green View Index (GVI). ...
In this paper, we used Google Street View to obtain street view images of Osaka City. ...
A number of studies have been proposed using semantic segmentation to conduct analysis of urban green views and landscapes. [28] used Google Street View images at different times to map and analyze the ...
arXiv:2104.12627v3
fatcat:ddpg3slvxrcura2vbgmpne6igy
CONFLATION OF NATIONAL BRIDGE INVENTORY DATABASE WITH TIGERBASED ROAD VECTORS
2012
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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This paper presents our approach to conflating the NBI database with U.S. ...
Census Bureau's Topologically Integrated Geographic Encoding and Referencing (TIGER) road vectors based on a point-to-line matching algorithm, which combines both geometric and semantic similarity measurements ...
Geological Survey (USGS) topography maps and TIGER street maps. ...
doi:10.5194/isprsannals-i-4-321-2012
fatcat:2m4uuoi74rcazexsrasd4wj7xe
Fast forensic video event retrieval using geospatial computing
2010
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application - COM.Geo '10
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A semantic data mining system is also attached to generate text descriptions of events and scene contextual information. ...
From the application point of view, it extends the frontier of geospatial application by presenting a forward-looking application model. ...
The Google Street [14] builds a map based street view system which enables user to view and navigate street images though a map interface. ...
doi:10.1145/1823854.1823866
dblp:conf/comgeo/DengLHJYYSRH10
fatcat:icczbjt3f5dzxlwbyfil65xssu
You Are Here: Geolocation by Embedding Maps and Images
[article]
2020
arXiv
pre-print
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and local neighbourhoods of the map. ...
for routes of around 200m in length when using Google Street View and Open Street Map data. ...
We gratefully acknowledge the support of the Mexican Council of Science and Technology (CONACyT) and the Chinese Scholarship Council (CSC). ...
arXiv:1911.08797v2
fatcat:fb6zsljxm5eebmmiq5f2dgmudm
Big Data-Driven Pedestrian Analytics: Unsupervised Clustering and Relational Query Based on Tencent Street View Photographs
2021
ISPRS International Journal of Geo-Information
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Recent technological advancements in geomatics and mobile sensing have led to various urban big data, such as Tencent street view (TSV) photographs; yet, the urban objects in the big dataset have hitherto ...
The experiment results showed that the pedestrians detected in the TSV photographs were successfully clustered into meaningful groups and indexed by the semantic vectors. ...
Semantic Enrichment for OpenStreetMap The semantics of pedestrians on the streets was also applied to enrich digital maps such as OpenStreetMap. ...
doi:10.3390/ijgi10080561
fatcat:ve5gzyminfbrvljjfnmzb57skq
A Two-Layered Integration Approach for Product Information in B2B E-commerce
[chapter]
2001
Lecture Notes in Computer Science
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The marketplaces have to perform non-trivial mappings of these catalogs. ...
Second, the catalog is translated from the source model to the RDF model of the target catalog. ...
The first type of mappings mainly involves the real-world semantics of the information exchanged. ...
doi:10.1007/3-540-44700-8_22
fatcat:njh6etntpnaofgc4yghq5db6vq
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