Zobrazeno 1 - 10 of 52 pro vyhledávání: '"Youngok Kang"'
1
Akademický článek
Assessment of Perceived and Physical Walkability Using Street View Images and Deep Learning Technology
Autor: Youngok Kang, Jiyeon Kim, Jiyoung Park, Jiyoon Lee
Publikováno v: ISPRS International Journal of Geo-Information, Vol 12, Iss 5, p 186 (2023)
As neighborhood walkability has gradually become an important topic in various fields, many cities around the world are promoting an eco-friendly and people-centered walking environment as a top priority in urban planning. The purpose of this study i
Externí odkaz: https://doaj.org/article/e4de8e6669964110903ff1bfa8e06112
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2
Akademický článek
Automatic Classification of Photos by Tourist Attractions Using Deep Learning Model and Image Feature Vector Clustering
Autor: Jiyeon Kim, Youngok Kang
Publikováno v: ISPRS International Journal of Geo-Information, Vol 11, Iss 4, p 245 (2022)
With the rise of social media platforms, tourists tend to share their experiences in the form of texts, photos, and videos on social media. These user-generated contents (UGC) play an important role in shaping tourism destination images (TDI) and dir
Externí odkaz: https://doaj.org/article/0a785d4d80074158af4ea1f9e57b65e5
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3
Akademický článek
Transfer Learning of a Deep Learning Model for Exploring Tourists’ Urban Image Using Geotagged Photos
Autor: Youngok Kang, Nahye Cho, Jiyoung Yoon, Soyeon Park, Jiyeon Kim
Publikováno v: ISPRS International Journal of Geo-Information, Vol 10, Iss 3, p 137 (2021)
Recently, as computer vision and image processing technologies have rapidly advanced in the artificial intelligence (AI) field, deep learning technologies have been applied in the field of urban and regional study through transfer learning. In the to
Externí odkaz: https://doaj.org/article/5599809b78c04ac586cef6606460a915
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4
Akademický článek
Spatiotemporal characteristics of elderly population's traffic accidents in Seoul using space-time cube and space-time kernel density estimation.
Autor: Youngok Kang, Nahye Cho, Serin Son
Publikováno v: PLoS ONE, Vol 13, Iss 5, p e0196845 (2018)
The purpose of this study is to analyze how the spatiotemporal characteristics of traffic accidents involving the elderly population in Seoul are changing by time period. We applied kernel density estimation and hotspot analyses to analyze the spatia
Externí odkaz: https://doaj.org/article/1ecc9cdb87c5434b94baf95c529d55c9
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7
Mining tourists’ destinations and preferences through LSTM-based text classification and spatial clustering using Flickr data
Autor: Hyejin Lee, Youngok Kang
Publikováno v: Spatial Information Research. 29:825-839
Recently, a large volume of data related social network service (SNS) is being produced as mobile devices are evolved and SNS is being used ubiquitously. People usually refer to social media when choosing tourist destinations and deciding on tourism
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::28633a61f20b2565ffb93690f6b5d81a
https://doi.org/10.1007/s41324-021-00397-3
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10
Akademický článek
Measuring human perceptions of urban landscape using machine learning: factors affecting perceived walkability of street-view image.
Autor: Jiyoon Lee1 jiyoon821@ewhain.net, Youngok Kang2 ykang@ewha.ac.kr, Jiyeon Kim3 pbmejy@gmail.com, Jiyoung Park4 gisjy.park@gmail.com
Publikováno v: Abstracts of the ICA. 2023, Vol. 6, p1-2. 2p.
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