Harapan Bangsa Institute of Technology

Development of a YOLOv9 model with angle loss for automatic detection of landmarks and cephalometric analysis

Abstract Artificial intelligence has been widely applied to identify anatomical landmarks on lateral cephalometric radiographs, reducing localization errors and improving the efficiency of cephalometric analysis. This study aimed to develop and evaluate an automated cephalometric...

The Buddhadasa Indapanno Archives Knowledge Graph: an Open RiC-O 1.1 Dataset from a Thai Buddhist Archive

Data paper. We publish the archival description of the Buddhadasa Indapanno Archives (BIA, Bangkok) as an open dataset conforming to the International Council on Archives' Records in Contexts Ontology (RiC-O) 1.1: 97,852 triples describing 3,728 records, 1,088 record sets, 1,995...

The Buddhadasa Indapanno Archives Knowledge Graph: an Open RiC-O 1.1 Dataset from a Thai Buddhist Archive

Data paper. We publish the archival description of the Buddhadasa Indapanno Archives (BIA, Bangkok) as an open dataset conforming to the International Council on Archives' Records in Contexts Ontology (RiC-O) 1.1: 97,852 triples describing 3,728 records, 1,088 record sets, 1,995...