This study explored the application of CNN-Transfer Learning for nondestructive chicken
egg fertility detection for precision poultry hatchery practices. Four models, VGG16 …

Medical image segmentation is an essential process in disease analysis and diagnosis, in
which medical images are divided into specific areas of anatomic or pathological structures …

This research aims to improve the performance of convolutional neural network (CNN) in
medical image segmentation that will detect specific parts of the body's anatomical …

Text annotation is an essential element of the natural language processing approaches. The
manual annotation process performed by humans has various drawbacks, such as …

Examples from living systems at various levels of the biological hierarchy and also from
natural food products show that ultra-weak photon emission (UPE) has potential …

Highlights•Egg parameter measurements were used to define goose eggs suitable for
incubation.•Four mathematical models were developed to predict correct identification of …

This study aims to classify the maturity level of oil palm using the K-Nearest Neighbors
(KNN) method based on the extraction of RGB and L* a* b color features. This classification …

Accurate medical image segmentation is paramount for precise diagnosis and treatment in
modern healthcare. This research presents a comprehensive study of the efficacy of particle …

This study systematically investigates the impact of image enhancement techniques on
Convolutional Neural Network (CNN)-based Brain Tumor Segmentation, focusing on …

Respiration plays a crucial role in the physiological development of embryos throughout the
entire incubation process and serves as a vital indicator for discerning unfertilized eggs and …