Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Seunghyeon Wang"'
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 110885- (2024)
Building characteristics are vital across various domains such as construction management and architectural design. Static Street View Images (SSVIs) can be utilized with deep learning techniques to interpret building characteristics without the need
Externí odkaz:
https://doaj.org/article/880a755763b8493db2485d30d1121702
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110720- (2024)
Accurate inspection of rebars in Reinforced Concrete (RC) structures is essential and requires careful counting. Deep learning algorithms utilizing object detection can facilitate this process through Unmanned Aerial Vehicle (UAV) imagery. However, t
Externí odkaz:
https://doaj.org/article/7a7db2b136404e24a4ee69272e90f0f4
Publikováno v:
Energies, Vol 11, Iss 2, p 373 (2018)
In many countries, DR (Demand Response) has been developed for which customers are motivated to save electricity by themselves during peak time to prevent grand-scale blackouts. One of the common methods in DR, is CPP (Critical Peak Pricing). Predict
Externí odkaz:
https://doaj.org/article/ffe38ee8832d4a01a515fae5652739b2
Publikováno v:
Bai, Y, Cao, M, Wang, R, Liu, Y & Wang, S 2022, ' How street greenery facilitates active travel for university students ', Journal of Transport and Health, vol. 26, 101393 . https://doi.org/10.1016/j.jth.2022.101393
Introduction: Active travel is currently gaining popularity worldwide as a sustainable form of travel. However, very few studies have examined how the built environment affects active travel behaviour on university campuses, particularly in China. It
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc990b2b8864ade6bcb0cd740ce51b67
http://eprints.lse.ac.uk/115239/
http://eprints.lse.ac.uk/115239/
Publikováno v:
Energies; Volume 11; Issue 2; Pages: 373
Energies, Vol 11, Iss 2, p 373 (2018)
Energies, Vol 11, Iss 2, p 373 (2018)
In many countries, DR (Demand Response) has been developed for which customers are motivated to save electricity by themselves during peak time to prevent grand-scale blackouts. One of the common methods in DR, is CPP (Critical Peak Pricing). Predict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14a8b83529394e60fff915cd26144dfb