Navaporn Surasvadi

According to our database, Navaporn Surasvadi authored at least 7 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis.

Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong

CoRR, 2022

2021

Identifying Linear Models in Multi-Resolution Population Data Using Minimum Description Length Principle to Predict Household Income.

Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong

ACM Trans. Knowl. Discov. Data, 2021

2020

Recognizing Traffic Black Spots From Street View Images Using Environment-Aware Image Processing and Neural Network.

Teerapaun Tanprasert, Chaiyaphum Siripanpornchana, Navaporn Surasvadi, Suttipong Thajchayapong

IEEE Access, 2020

2019

A nonparametric framework for inferring orders of categorical data from category-real ordered pairs.

Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong

CoRR, 2019

Exploring Night Light as Proxy for Poverty and Income Inequality Approximation in Thailand.

Ugyen Jigten Dorji, Chaiyaphum Siripanpornchana, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong

Proceedings of the TENCON 2019, 2019

A machine learning approach to estimate median income levels of sub-districts in Thailand using satellite and geospatial data.

Ugyen Jigten Dorji, Anon Plangprasopchok, Navaporn Surasvadi, Chaiyaphum Siripanpornchana

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2019

2015

Applications of Smartphone-Based Sensors in Agriculture: A Systematic Review of Research.

Suporn Pongnumkul, Pimwadee Chaovalit, Navaporn Surasvadi

J. Sensors, 2015