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Chitnarong Sirisathitkul

Datos Biográficos

ID9024541
NOMBREChitnarong Sirisathitkul
NOMBRESChitnarong
APELLIDOSirisathitkul
FIRMASIRISATHITKUL C
AFILIACIONESWalailak University
ORCID0000-0002-7837-3515
VERIFICADOSí
TOTAL DE OBRAS4
TOTAL DE CITAS0
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2024
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Slow but rewarding collaborations with ChatGPT in trifecta of thinking–doing–writing

    Open Access•Chitnarong Sirisathitkul•ARTICLE•AI & Society•2025

  • Accuracy and precision of smartphone colorimetry

    Open Access•Yaowarat Sirisathitkul, Natthinee Dinmeung et al.•ARTICLE•STAR Science & Technology of…•2025

    This study evaluates the accuracy and precision of color measurements obtained from digital images captured using smartphone cameras, validated against standard color cards under controlled lighting conditions. RGB (Red, Green, Blue) and HSV (Hue, Saturation, Value) parameters were extracted using the Colorimeter application (app) on an iPhone and the PineTools program on a computer. Both methods demonstrated high precision, as indicated by small…

  • Slow Writing with ChatGPT

    Open Access•Chitnarong Sirisathitkul•ARTICLE•Postdigital Science and Education•2024

  • Color analysis and classification of earthenware from Phra Mahathat Woramahawihan temple in southern Thailand using machine learning

    Open Access•Chitnarong Sirisathitkul, Yaowarat Sirisathitkul et al.•ARTICLE•STAR Science & Technology of…•2024

    Potsherds from Phra Mahathat Woramahawihan, a revered Buddhist temple in Thailand’s Nakhon Si Thammarat Province, were studied in the context of maritime Southeast Asia and local craftsmanship during the thirteenth–fourteenth century. The CIE L*a*b* and CIE L*C*h* colors of fine- and coarse-paste wares were analyzed using unsupervised and supervised machine learning algorithms. An illustrative example demonstrated the classification capability an…

Sin obras prominentes en esta página.

  • Slow Writing with ChatGPT

    Open Access•Chitnarong Sirisathitkul•ARTICLE•Postdigital Science and Education•2024

  • Color analysis and classification of earthenware from Phra Mahathat Woramahawihan temple in southern Thailand using machine learning

    Open Access•Chitnarong Sirisathitkul, Yaowarat Sirisathitkul et al.•ARTICLE•STAR Science & Technology of…•2024

    Potsherds from Phra Mahathat Woramahawihan, a revered Buddhist temple in Thailand’s Nakhon Si Thammarat Province, were studied in the context of maritime Southeast Asia and local craftsmanship during the thirteenth–fourteenth century. The CIE L*a*b* and CIE L*C*h* colors of fine- and coarse-paste wares were analyzed using unsupervised and supervised machine learning algorithms. An illustrative example demonstrated the classification capability an…

  • Slow but rewarding collaborations with ChatGPT in trifecta of thinking–doing–writing

    Open Access•Chitnarong Sirisathitkul•ARTICLE•AI & Society•2025

  • Accuracy and precision of smartphone colorimetry

    Open Access•Yaowarat Sirisathitkul, Natthinee Dinmeung et al.•ARTICLE•STAR Science & Technology of…•2025

    This study evaluates the accuracy and precision of color measurements obtained from digital images captured using smartphone cameras, validated against standard color cards under controlled lighting conditions. RGB (Red, Green, Blue) and HSV (Hue, Saturation, Value) parameters were extracted using the Colorimeter application (app) on an iPhone and the PineTools program on a computer. Both methods demonstrated high precision, as indicated by small…

Artificial Intelligence (2 obras) · Artificial Intelligence in Healthcare and Education (2 obras) · Computer Science (2 obras) · Cultural Heritage Materials Analysis (2 obras) · Mathematics (2 obras) · Aesthetics (1 obras) · Ancient history (1 obras) · Archaeology (1 obras) · Art (1 obras) · Augmented Reality Applications (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae