Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Navaporn Surasvadi"'
Publikováno v:
Heliyon, Vol 9, Iss 10, Pp e20648- (2023)
Privacy policies, intended to provide information to individuals regarding how their personal data is processed, are often complex and challenging for users to understand. Businesses often demonstrate non-compliance with personal data protection laws
Externí odkaz:
https://doaj.org/article/2a56df41d8ee4626b39a4f159abab337
Autor:
Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong
Publikováno v:
Heliyon, Vol 9, Iss 5, Pp e15947- (2023)
Poverty is one of the fundamental issues that mankind faces. To solve poverty issues, one needs to know how severe the issue is. The Multidimensional Poverty Index (MPI) is a well-known approach that is used to measure a degree of poverty issues in a
Externí odkaz:
https://doaj.org/article/ad673e26246e48918d03332c36f896f6
Autor:
Teerapaun Tanprasert, Chaiyaphum Siripanpornchana, Navaporn Surasvadi, Suttipong Thajchayapong
Publikováno v:
IEEE Access, Vol 8, Pp 121469-121478 (2020)
This paper proposes a novel technique to identify black spots (prone-to-accident road locations) using street view images. The proposed technique is derived based on the hypothesis that the characteristics of the surroundings of the road have an effe
Externí odkaz:
https://doaj.org/article/1713c91126e346aaa348abc8cfda480c
Autor:
Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong
Publikováno v:
Heliyon, Vol 6, Iss 11, Pp e05435- (2020)
Given a dataset of careers and incomes, how large a difference of incomes between any pair of careers would be? Given a dataset of travel time records, how long do we need to spend more when choosing a public transportation mode A instead of B to tra
Externí odkaz:
https://doaj.org/article/095c2f9cd8844b6a9602a0dc23d6d351
Autor:
Rungkarn Siricharoenchai, Panchapawn Chatsuwan, Paramet Tanwanont, Sarunruk Janbradab, Navaporn Surasvadi, Suttipong Thajchayapong
Publikováno v:
2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).
Autor:
Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong
Poverty is one of the fundamental issues that mankind faces. To solve poverty issues, one needs to know how severe the issue is. The Multidimensional Poverty Index (MPI) is a well-known approach that is used to measure a degree of poverty issues in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::293484c064e51d017e84c2a8b67ceba3
http://arxiv.org/abs/2205.06131
http://arxiv.org/abs/2205.06131
Autor:
Navaporn Surasvadi, Teerapaun Tanprasert, Suttipong Thajchayapong, Chaiyaphum Siripanpornchana
Publikováno v:
IEEE Access, Vol 8, Pp 121469-121478 (2020)
This paper proposes a novel technique to identify black spots (prone-to-accident road locations) using street view images. The proposed technique is derived based on the hypothesis that the characteristics of the surroundings of the road have an effe
Autor:
Aunchana Pimpisal, Thikamporn Simud, Nuttapong Sanglerdsinlapachai, Navaporn Surasvadi, Anon Plangprasopchok
Publikováno v:
2021 16th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).
Autor:
Thikamporn Simud, Somchoke Ruengittinun, Anon Plangprasopchok, Nuttapong Sanglerdsinlapachai, Navaporn Surasvadi
Publikováno v:
2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).
Since 2018, Thai People Map and Analytics Platform (TPMAP) has been developed with the aims of supporting government officials and policy makers with integrated household and community data to analyze strategic plans, implement policies and decisions
Publikováno v:
GeoAI@SIGSPATIAL
Collecting economic data like household income through traditional survey methods is expensive and time consuming making it scarce, especially for developing countries. Satellite nighttime light data and geospatial factors like the distance from a ma