Suchergebnisse - "Kang, Youngok"

Context-Aware Anomaly Detection of Pedestrian Trajectories in Urban Back Streets Using a Variational Autoencoder.

Autoren: Cho, Juyeon Kang, Youngok

Quelle: ISPRS International Journal of Geo-Information. Nov2025, Vol. 14 Issue 11, p438. 23p.

Schlagwörter: *DEEP learning, *CONTEXTUAL analysis, *VIDEO surveillance, *OUTLIER detection, *PUBLIC safety, *LATENT variables, *CLUSTER analysis (Statistics)

PGTFT: A Lightweight Graph-Attention Temporal Fusion Transformer for Predicting Pedestrian Congestion in Shadow Areas.

Autoren: Lee, Jiyoon Kang, Youngok

Quelle: ISPRS International Journal of Geo-Information. Oct2025, Vol. 14 Issue 10, p381. 18p.

Schlagwörter: *PEDESTRIAN areas, *CITIES & towns, *MISSING data (Statistics), *STATISTICAL models, *TRANSFORMER models

Measuring human perceptions of urban landscape using machine learning: factors affecting perceived walkability of street-view image

Autoren: Lee, Jiyoon Kang, Youngok Kim, Jiyeon et al.

Quelle: eISSN: 2570-2106

Dateibeschreibung: application/pdf

Verfügbarkeit: https://doi.org/10.5194/ica-abs-6-135-2023
https://ica-abs.copernicus.org/articles/6/135/2023/

Developing deep learning model for predicting perceived walkability using street view images

Autoren: Kang, Youngok Kim, Jiyeon

Quelle: eISSN: 2570-2106

Dateibeschreibung: application/pdf

Verfügbarkeit: https://doi.org/10.5194/ica-abs-6-118-2023
https://ica-abs.copernicus.org/articles/6/118/2023/

Workplace industrial relations in South Korea since the 1980s

Autoren: Kang, Youngok

Schlagwörter: 331, Labour studies

Verfügbarkeit: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269405

An empirical study of housevalue and population density by expanded regressions

Autoren: Kang, Youngok

Schlagwörter: Geography

Verfügbarkeit: http://rave.ohiolink.edu/etdc/view?acc_num=osu1487859879937639

Classifying Tourists’ Photos and Exploring Tourism Destination Image Using a Deep Learning Model

Autoren: Kim, Jiyeon Kang, Youngok Cho, Nahye et al.

Quelle: eISSN: 2570-2106

Dateibeschreibung: application/pdf

Verfügbarkeit: https://doi.org/10.5194/ica-abs-3-150-2021
https://ica-abs.copernicus.org/articles/3/150/2021/

Exploring lifestyle patterns from GPS trajectory data: embedding spatio-temporal context information via geohash and POI

Autoren: Lee, Huiju Kang, Youngok Noh, Seungmin et al.

Weitere Verfasser: Lee, Huiju Kang, Youngok Noh, Seungmin et al.

Quelle: Spatial Information Research ; volume 32, issue 6, page 801-813 ; ISSN 2366-3286 2366-3294

Verfügbarkeit: http://dx.doi.org/10.1007/s41324-024-00597-7
https://link.springer.com/content/pdf/10.1007/s41324-024-00597-7.pdf
https://link.springer.com/article/10.1007/s41324-024-00597-7/fulltext.html

A Dynamic Algorithm for Measuring Pedestrian Congestion and Safety in Urban Alleyways.

Autoren: Lee, Jiyoon Kang, Youngok

Quelle: ISPRS International Journal of Geo-Information. Dec2024, Vol. 13 Issue 12, p434. 21p.

Schlagwörter: *PSYCHOLOGICAL safety, *PERSONAL space, *TIME management, *ALGORITHMS, *PEDESTRIANS, *DENSITY

Analysis of Travel Patterns of Seoul Tourists by Trajectory Data Mining

Autoren: Lee, Juyoon Kang, Youngok Kim, Nayeon et al.

Schlagwörter: article, Verlagsveröffentlichung

Dateibeschreibung: electronic

Relation: Abstracts of the ICA -- https://www.abstracts-of-the-ica.net/ -- 2570-2106; https://noa.gwlb.de/receive/cop_mods_00001046

Verfügbarkeit: https://doi.org/10.5194/ica-abs-1-209-2019
https://noa.gwlb.de/receive/cop_mods_00001046
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00001008/ica-abs-1-209-2019.pdf
https://www.abstr-int-cartogr-assoc.net/1/209/2019/ica-abs-1-209-2019.pdf

Analysis of Tourists’ Image of Seoul with Geotagged Photos using Convolutional Neural Networks

Autoren: Kim, Dongeun Kang, Youngok Park, Yearim et al.

Schlagwörter: article, Verlagsveröffentlichung

Dateibeschreibung: electronic

Relation: Proceedings of the ICA -- https://www.proceedings-of-the-ica.net/ -- 2570-2092; https://noa.gwlb.de/receive/cop_mods_00001358

Verfügbarkeit: https://doi.org/10.5194/ica-proc-2-62-2019
https://noa.gwlb.de/receive/cop_mods_00001358
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00001319/ica-proc-2-62-2019.pdf
https://www.proc-int-cartogr-assoc.net/2/62/2019/ica-proc-2-62-2019.pdf

An Analysis of Movement by Visualizing Spatio-Temporal Characteristics of Logdata

Autoren: Cho, Nahye Kang, Youngok

Quelle: eISSN: 2570-2092

Dateibeschreibung: application/pdf

Verfügbarkeit: https://doi.org/10.5194/ica-proc-2-18-2019
https://ica-proc.copernicus.org/articles/2/18/2019/

Understanding tourists’ urban images with geotagged photos using convolutional neural networks

Autoren: Kim, Dongeun Kang, Youngok Park, Yerim et al.

Weitere Verfasser: Kim, Dongeun Kang, Youngok Park, Yerim et al.

Quelle: Spatial Information Research ; volume 28, issue 2, page 241-255 ; ISSN 2366-3286 2366-3294

Verfügbarkeit: https://doi.org/10.1007/s41324-019-00285-x
http://link.springer.com/content/pdf/10.1007/s41324-019-00285-x.pdf
http://link.springer.com/article/10.1007/s41324-019-00285-x/fulltext.html

Exploration of spatio-temporal patterns of students’ movement in field trip by visualizing the log data

Autoren: Cho, Nahye Kang, Youngok

Schlagwörter: article, Verlagsveröffentlichung

Dateibeschreibung: electronic

Relation: Proceedings of the ICA -- https://www.proceedings-of-the-ica.net/ -- 2570-2092; https://noa.gwlb.de/receive/cop_mods_00006058

Verfügbarkeit: https://doi.org/10.5194/ica-proc-1-19-2018
https://noa.gwlb.de/receive/cop_mods_00006058
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00006015/ica-proc-1-19-2018.pdf
https://www.proc-int-cartogr-assoc.net/1/19/2018/ica-proc-1-19-2018.pdf

Spatiotemporal characteristics of elderly population’s traffic accidents in Seoul using space-time cube and space-time kernel density estimation

Autoren: Kang, Youngok Cho, Nahye Son, Serin et al.

Weitere Verfasser: Kang, Youngok Cho, Nahye Son, Serin et al.

Quelle: PLOS ONE ; volume 13, issue 5, page e0196845 ; ISSN 1932-6203

Verfügbarkeit: https://doi.org/10.1371/journal.pone.0196845
http://dx.plos.org/10.1371/journal.pone.0196845

Classifying Tourists’ Photos and Exploring Tourism Destination Image Using a Deep Learning Model

Autoren: Cho, Nahye Kang, Youngok Yoon, Jiyoung et al.

Weitere Verfasser: Cho, Nahye Kang, Youngok Yoon, Jiyoung et al.

Quelle: Journal of Quality Assurance in Hospitality & Tourism ; volume 23, issue 6, page 1480-1508 ; ISSN 1528-008X 1528-0098

Verfügbarkeit: https://doi.org/10.1080/1528008x.2021.1995567
https://www.tandfonline.com/doi/pdf/10.1080/1528008X.2021.1995567

Mining tourists’ destinations and preferences through LSTM-based text classification and spatial clustering using Flickr data

Autoren: Lee, Hyejin Kang, Youngok Ministry of Land, Infrastructure and Transport

Weitere Verfasser: Lee, Hyejin Kang, Youngok Ministry of Land, Infrastructure and Transport

Quelle: Spatial Information Research ; volume 29, issue 6, page 825-839 ; ISSN 2366-3286 2366-3294

Verfügbarkeit: http://dx.doi.org/10.1007/s41324-021-00397-3
https://link.springer.com/content/pdf/10.1007/s41324-021-00397-3.pdf
https://link.springer.com/article/10.1007/s41324-021-00397-3/fulltext.html

Assessment of Perceived and Physical Walkability Using Street View Images and Deep Learning Technology.

Autoren: Kang, Youngok Kim, Jiyeon Park, Jiyoung et al.

Quelle: ISPRS International Journal of Geo-Information. May2023, Vol. 12 Issue 5, p186. 23p.

Schlagwörter: *DEEP learning, *CONVOLUTIONAL neural networks, *WALKABILITY, *CITIES & towns, *URBAN planning, *SMALL cities, *STREET children

Geografische Kategorien: SOUTH Korea

Correction: Lee, J.; Kang, Y. A Dynamic Algorithm for Measuring Pedestrian Congestion and Safety in Urban Alleyways. ISPRS Int. J. Geo-Inf. 2024, 13 , 434.

Autoren: Lee, Jiyoon Kang, Youngok

Quelle: ISPRS International Journal of Geo-Information. Feb2025, Vol. 14 Issue 2, p77. 2p.

Schlagwörter: *AUTOMOBILE size, *PEDESTRIAN areas, *RESEARCH personnel, *SHOULDER, *ALGORITHMS

Automatic Classification of Photos by Tourist Attractions Using Deep Learning Model and Image Feature Vector Clustering.

Autoren: Kim, Jiyeon Kang, Youngok

Quelle: ISPRS International Journal of Geo-Information. Apr2022, Vol. 11 Issue 4, p245-245. 19p.

Schlagwörter: *DEEP learning, *TOURIST attractions, *AUTOMATIC classification, *DESTINATION image (Tourism), *ARTIFICIAL neural networks, *USER-generated content

Geografische Kategorien: SEOUL (Korea)