Traditional Machine Learning (ML) models are generally preferred for classification tasks on
tabular datasets, which often produce unsatisfactory results in complex tabular datasets …

The color image of the brand comes first and is an important visual element that leads
consumers to the consumption of the product. To express more effectively what the brand …

Recently, research and development on automatic diagnosis solutions in the medical
imaging field using deep learning are actively underway. In this study, we sought to find a …

The evaluation of ship strength during the hull structure design stage is essential for
structural safety. Additionally, plate is one of the basic structural members of the hull, it is …

Deep Learning is based on a perceptron, and is currently being used in various fields such
as image recognition, voice recognition, object detection, and drug development …

요 약 딥러닝 (Deep Learning) 은 퍼셉트론을 기반으로 하고 있으며 현재에는 이미지 인식,
음성 인식, 객체 검출 및약물 개발 등과 같은 다양한 영역에서 사용되고 있다. 이에 따라 학습 …

To understand an underlying geological structure via seismic imaging, the velocity
information of the subsurface medium is crucial. Although the full-waveform inversion (FWI) …

Subsurface physical properties can be obtained and imaged by seismic exploration, and
various algorithms have been developed for this purpose. In this regard, root mean square …

딥러닝 모델을 학습하고 학습된 모델에서 새로운 데이터에 대한 예측을 수행하기 위해서는
모델 생성부터 예측까지 전체 과정을 간편하게 사용할 수 있는 환경이 필요하다. 그러나 …