Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Yoji Kiyota"'
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
BackgroundCOVID-19-related anxiety, sleep problems, and loneliness may be risk factors for school refusal in children and adolescents. However, few studies have examined the mechanisms by which these risk factors cause school refusal. This study exam
Externí odkaz:
https://doaj.org/article/31d66386253547e28adf2c5cf443c1a2
Publikováno v:
New Generation Computing. 40:1-3
Publikováno v:
New Generation Computing. 41:1-2
Autor:
Yoji Kiyota
Publikováno v:
New Frontiers in Regional Science: Asian Perspectives ISBN: 9789811588471
This article describes frontier efforts to apply deep learning technologies, which is the greatest innovation of research on artificial intelligence and computer vision, to image data such as real estate property photographs and floorplans. Specifica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::154bd22b416fbc7f7c6d7a203b178234
https://doi.org/10.1007/978-981-15-8848-8_23
https://doi.org/10.1007/978-981-15-8848-8_23
Autor:
Yoji KIYOTA
Publikováno v:
The Japanese Journal of Real Estate Sciences. 31:64-71
Autor:
Yoji Kiyota
Publikováno v:
The Journal of The Institute of Image Information and Television Engineers. 71:773-777
Autor:
Yoji Kiyota
Publikováno v:
Proceedings of the 2018 ACM Workshop on Multimedia for Real Estate Tech.
Publikováno v:
RETech@ICMR
Due to the rapid development of the Internet, it became easy to hold a teleconference. However, even in current teleconference systems, it is difficult for attendees of teleconference to share a feeling that they are at common space. On the other han
Autor:
Yoji Kiyota
Publikováno v:
ICMR
The LIFULL HOME'S Data Set, which is provided for academic use since November 2015, is being used for research in a variety of fields such as economics, architecture, urban science and so on. In particular, since it contains 83 million object propert
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 4:299-302
Many researchers conducted studies on extracting relevant information from web documents. However, there are few studies on extracting serendipitous information. We propose methods to discover unexpected information from Wikipedia by using its networ