Results 71 to 80 of about 241,334 (180)

Occupation Prediction with Multimodal Learning from Tweet Messages and Google Street View Images

AGILE Conf.
. Despite the development of various heuristic and machine learning models, social media user occupation predication remains challenging due to limited high-quality ground truth data and difficulties in effectively integrating multiple data sources in ...
Xinyi Liu, Bo Peng, Meiliu Wu, Mingshu Wang, Heng Cai, Qunying Huang   +5 more
semanticscholar   +1 more source

Using Convolutional Neural Networks to Derive Neighborhood Built Environments from Google Street View Images and Examine Their Associations with Health Outcomes

International Journal of Environmental Research and Public Health, 2022
Built environment neighborhood characteristics are difficult to measure and assess on a large scale. Consequently, there is a lack of sufficient data that can help us investigate neighborhood characteristics as structural determinants of health on a ...
Xiaohe Yue, Anne Antonietti, Mitra Alirezaei, T. Tasdizen, Dapeng Li, Leah H. Nguyen, Heran Mane, Abby Sun, Ming Hu, Ross T. Whitaker, Q. Nguyen   +10 more
semanticscholar   +1 more source

Detección de objetos en imágenes urbanas de Google Street View [PDF]

, 2019
En este Trabajo Fin de Grado se presentan como objetivos el desarrollo de una herramienta para la formación de una base de datos mediante la extracción de imágenes de Google Street View a lo largo de distintas rutas y la prueba y evaluación de un ...
Guerra Toni, Paula
core  

Classification and mapping of urban canyon geometry using Google Street View images and deep multitask learning [PDF]

, 2020
Urban canyon classification plays an important role in analyzing the impact of urban canyon geometry on urban morphology and microclimates. Existing classification methods using aspect ratios require a large number of field surveys, which are often ...
Gong, Fang-Ying, Hu, Chuan-Bo, Li, Xin, Ratti, Carlo, Zhang, Fan   +4 more
core  

Applying Google Maps and Google Street View in criminological research

Crime Science, 2014
Online mapping technologies such as Google Maps and Street View have become increasingly accessible. These technologies have many convenient uses in everyday life, but law enforcement agencies have expressed concern that they could be exploited by offenders and might alter existing offending patterns and habits.
openaire   +1 more source

Automated first floor height estimation for flood vulnerability analysis using deep learning and Google Street View

Journal of Flood Risk Management
Flood events can cause extensive damage to physical infrastructure, pose risks to human life, and necessitate the reoccupation and rehabilitation of affected areas. A key parameter for flood vulnerability assessment is the first floor height (FFH), which
Nafiseh Ghasemian Sorboni, Jinfei Wang, M. Najafi   +2 more
semanticscholar   +1 more source

ОСВІТНІ МОЖЛИВОСТІ ВИКОРИСТАННЯ ГЕОІНФОРМАЦІЙНИХ РЕСУРСІВ GOOGLE В ПРОЦЕСІ ВІЗУАЛІЗАЦІЇ НАВЧАЛЬНОЇ ІНФОРМАЦІЇ

Інформаційні технології і засоби навчання, 2020
З педагогічної точки зору візуалізацію інформації варто трактувати як інструмент фіксації і трансляції унаочненого навчального матеріалу. У статті розглянуто особливості роботи ресурсів Google, підкреслено їх відкритість, доступність та значний потенціал
Тетяна Володимирівна Бондаренко
doaj   +1 more source

Firefox Extension to Add Contacts, Events, and View Addresses [PDF]

, 2008
Users of the Firefox browser have the ability to download plugins to manage their contacts. This usually involves typing or copying the details from some source to add contacts.
Rao, Vijay
core   +1 more source

Estimating helmet wearing rates via a scalable, low-cost algorithm: a novel integration of deep learning and google street view

BMC Public Health
Wearing a helmet reduces the risk of head injuries substantially in the event of a motorcycle crash. Countries around the world are committed to promoting helmet use, but the progress has been slow and uneven. There is an urgent need for large-scale data
Qingfeng Li, Xianglong Wang, Abdulgafoor M. Bachani   +2 more
semanticscholar   +1 more source

Ocena użyteczności zdjęć panoramicznych w technologii Google Street View do identyfikacji lokalnych form architektonicznych w gminie Uniejów

Biuletyn Uniejowski
W artykule przedstawiono teoretyczne rozważania na temat użycia zdjęć panoramicznych w technologii Google Street View (GSV) do identyfikacji tradycyjnych budynków murowanych z naturalnego kamienia (opoki) na terenie gminy Uniejów.
Marcin Gorączko, Wiktoria Kołodziej
doaj   +1 more source