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Disability assessment using Google Maps. [PDF]
To evaluate the concordance between Google Maps® application (GM®) and clinical practice measurements of ambulatory function (e.g., Ambulation Score (AS) and respective Expanded Disability Status Scale (EDSS)) in people with multiple sclerosis (pwMS).This is a cross-sectional multicenter study. AS and EDSS were calculated using GM® and routine clinical
Lavorgna L +20 more
europepmc +8 more sources
The Surakarta City Government built the Taman Sriwedari Culinary Shelter to accommodate MSMEs due to the relocation. Most of these MSMEs had to start from scratch because of the loss of customers and the low interest of visitors because most people did ...
Salman Faris Insani +2 more
doaj +2 more sources
Introducción a Google Maps y Google Earth
Google My Maps y Google Earth son una buena manera de comenzar a crear mapas digitales.
Jim Clifford +2 more
doaj +2 more sources
GOOGLE MAPS FOR CROWDSOURCED EMERGENCY ROUTING [PDF]
Gathering infrastructure data in emergency situations is challenging. The affected by a disaster areas are often large and the needed observations numerous. Spaceborne remote sensing techniques cover large areas but they are of limited use as their field
S. Nedkov, S. Zlatanova
doaj +5 more sources
Intro to Google Maps and Google Earth
Google My Maps and Google Earth provide an easy way to start creating digital maps. With a Google Account you can create and edit personal maps by clicking on My Places.
Jim Clifford +2 more
doaj +2 more sources
DYNAMIC CLASSIFICATION OF GEOGRAPHIC POINTS ON GOOGLE MAPS [PDF]
Classification of geographical points on Google maps is an interesting example of the use of cluster analysis algorithm in which the final number of clusters is obtained not only by presuppositions and the algorithm used, but also by the scale, on which ...
Andrzej Dudek
doaj +3 more sources
What Google Maps can do for biomedical data dissemination: examples and a design study. [PDF]
BACKGROUND: Biologists often need to assess whether unfamiliar datasets warrant the time investment required for more detailed exploration. Basing such assessments on brief descriptions provided by data publishers is unwieldy for large datasets that ...
Jianu R, Laidlaw DH.
europepmc +2 more sources
Aplicación con Google Maps [PDF]
El principal objetivo de este proyecto es realizar un aplicativo web que utilice API’s para que, a partir de un conjunto de rutas almacenadas en el sistema, éste sea capaz de generar nuevas rutas a partir de éstas, de modo que dicho sistema no se comporte como un mero "almacén" de rutas introducidas por los usuarios para poder ser utilizadas por los ...
García Agudo, Juan Ruperto +3 more
openaire +3 more sources
ETA Prediction with Graph Neural Networks in Google Maps [PDF]
Travel-time prediction constitutes a task of high importance in transportation networks, with web mapping services like Google Maps regularly serving vast quantities of travel time queries from users and enterprises alike.
Austin Derrow-Pinion +16 more
semanticscholar +1 more source
Massively Scalable Inverse Reinforcement Learning in Google Maps [PDF]
Inverse reinforcement learning (IRL) offers a powerful and general framework for learning humans' latent preferences in route recommendation, yet no approach has successfully addressed planetary-scale problems with hundreds of millions of states and ...
Matt Barnes +7 more
semanticscholar +1 more source

