In today's digital age, Convolutional Neural Networks (CNNs), a subset of Deep Learning
(DL), are widely used for various computer vision tasks such as image classification, object …

Analyzing stochastic algorithms for comprehensive performance and comparison across
diverse contexts is essential. By evaluating and adjusting algorithm effectiveness across a …

Ship segmentation with small imaging size, which challenges ship detection and visual
navigation model performance due to imaging noise interference, has attracted significant …

Semantic segmentation of small-scale objects in aerial images is challenging due to low-
level characteristics in neural networks and varying information in feature maps. Deeplab …

The importance of hair coloring has grown as a trend and people who want to change their
hair color often look for recommendations at hair salons without knowing the final result. The …

Tooth segmentation is a key technology in the field of medical image segmentation, with
applications including orthodontic treatment, human identification, and dental pathology …

Stunting is the impaired growth and development that children experience from poor
nutrition, repeated infection, and inadequate psychosocial stimulation. This study explores …

산림의 탄소 저장량 측정은 주로 현장 조사와 원격 탐사의 방법을 통해 이뤄지나, 이런 접근법은
측정의 정확도가 떨어지는 문제를 안고 있다. 따라서 본 연구에서는 항공 관측 이미지를 …