Nondestructive chicken egg fertility detection using CNN-transfer learning algorithms
This study explored the application of CNN-Transfer Learning for nondestructive chicken
egg fertility detection for precision poultry hatchery practices. Four models, VGG16 …
egg fertility detection for precision poultry hatchery practices. Four models, VGG16 …
Enhanced medical image segmentation using CNN based on histogram equalization
S Saifullah, R Dreżewski - 2023 2nd International Conference …, 2023 - ieeexplore.ieee.org
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 …
which medical images are divided into specific areas of anatomic or pathological structures …
Modified histogram equalization for improved CNN medical image segmentation
S Saifullah, R Dreżewski - Procedia Computer Science, 2023 - Elsevier
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 …
medical image segmentation that will detect specific parts of the body's anatomical …
Automated text annotation using a semi-supervised approach with meta vectorizer and machine learning algorithms for hate speech detection
Text annotation is an essential element of the natural language processing approaches. The
manual annotation process performed by humans has various drawbacks, such as …
manual annotation process performed by humans has various drawbacks, such as …
[HTML][HTML] The verification of hen egg types by the classification of ultra-weak photon emission data
J Sekulska-Nalewajko, J Gocławski… - Expert Systems with …, 2024 - Elsevier
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 …
natural food products show that ultra-weak photon emission (UPE) has potential …
Predicting preincubation parameters in goose eggs to reduce their hatching waste
VG Narushin, MN Romanov, L Gressier, E Jacob… - Biosystems …, 2023 - Elsevier
Highlights•Egg parameter measurements were used to define goose eggs suitable for
incubation.•Four mathematical models were developed to predict correct identification of …
incubation.•Four mathematical models were developed to predict correct identification of …
Palm oil maturity classification using K-nearest neighbors based on RGB and L* a* b color extraction
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 …
(KNN) method based on the extraction of RGB and L* a* b color features. This classification …
Advanced medical image segmentation enhancement: a particle-swarm-optimization-based histogram equalization approach
S Saifullah, R Dreżewski - Applied Sciences, 2024 - mdpi.com
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 …
modern healthcare. This research presents a comprehensive study of the efficacy of particle …
Comparative Analysis of Image Enhancement Techniques for Brain Tumor Segmentation: Contrast, Histogram, and Hybrid Approaches
This study systematically investigates the impact of image enhancement techniques on
Convolutional Neural Network (CNN)-based Brain Tumor Segmentation, focusing on …
Convolutional Neural Network (CNN)-based Brain Tumor Segmentation, focusing on …
Reducing infertile eggs and dead embryos during egg hatching based on respiration
J Wang, R Cao, Q Wang, M Ma, D Fu - Journal of Cleaner Production, 2024 - Elsevier
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 …
entire incubation process and serves as a vital indicator for discerning unfertilized eggs and …