Výsledky vyhľadávania - "Kang, Youngok"

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

Autori: Cho, Juyeon Kang, Youngok

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

Predmety: 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.

Autori: Lee, Jiyoon Kang, Youngok

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

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

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

Autori: Lee, Jiyoon Kang, Youngok

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

Predmety: PSYCHOLOGICAL safety, PERSONAL space, TIME management, ALGORITHMS, PEDESTRIANS, DENSITY

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.

Autori: Lee, Jiyoon Kang, Youngok

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

Predmety: AUTOMOBILE size, PEDESTRIAN areas, RESEARCH personnel, SHOULDER, ALGORITHMS

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

Autori: Kang, Youngok Kim, Jiyeon Park, Jiyoung a ďalší

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

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

Geografický termín: SOUTH Korea

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

Autori: Cho, Nahye Kang, Youngok Yoon, Jiyoung a ďalší

Zdroj: Journal of Quality Assurance in Hospitality & Tourism; 2022, Vol. 23 Issue 6, p1480-1508, 29p

Predmety: DESTINATION image (Tourism), DEEP learning, COMPUTER vision, TOURIST attractions, TOURISTS, ARTIFICIAL intelligence, FOOD prices

Geografický termín: SEOUL (Korea)

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

Autori: Kim, Jiyeon Kang, Youngok

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

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

Geografický termín: SEOUL (Korea)

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

Autori: Kang, Youngok Kim, Jiyeon

Zdroj: Abstracts of the ICA; 2023, Vol. 6, p1-2, 2p

Predmety: DEEP learning, WALKABILITY, NEIGHBORHOODS, COMPUTER vision, STREETS

Transfer Learning of a Deep Learning Model for Exploring Tourists' Urban Image Using Geotagged Photos.

Autori: Kang, Youngok Cho, Nahye Yoon, Jiyoung a ďalší

Zdroj: ISPRS International Journal of Geo-Information; Mar2021, Vol. 10 Issue 3, p137, 1p

Predmety: DEEP learning, COMPUTER vision, TOURISTS, ARTIFICIAL intelligence, VERNACULAR architecture, IMAGE processing

Geografický termín: SEOUL (Korea)

Applications of Mathematics in Science and Technology

Autori: Bui Thanh Hung M. Sekar Ayhan ESI a ďalší

Typ zdroja: eBook.

Predmet: Mathematics

Kategórie: MATHEMATICS / General