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[HTML][HTML] Transfer learning by fine-tuning pre-trained convolutional neural network architectures for switchgear fault detection using thermal imaging
KAA Mahmoud, MM Badr, NA Elmalhy… - Alexandria Engineering …, 2024 - Elsevier
Switchgear is a vital component of modern power systems, responsible for regulating the
flow of electrical power. Contact issues, irregular loads, and other similar problems can …
flow of electrical power. Contact issues, irregular loads, and other similar problems can …
A performance comparison of CNN models for bean phenology classification using transfer learning techniques
The early and precise identification of the different phenological stages of the bean
(Phaseolus vulgaris L.) allows for the determination of critical and timely moments for the …
(Phaseolus vulgaris L.) allows for the determination of critical and timely moments for the …
The Diagnostic Classification of the Pathological Image Using Computer Vision
Y Matsuzaka, R Yashiro - Algorithms, 2025 - mdpi.com
Computer vision and artificial intelligence have revolutionized the field of pathological image
analysis, enabling faster and more accurate diagnostic classification. Deep learning …
analysis, enabling faster and more accurate diagnostic classification. Deep learning …
Identification of digestive tract abnormalities on endoscopic images
LM Torres, ON Pessoa, IV Correa… - 2023 19th …, 2023 - ieeexplore.ieee.org
The incidence of gastrointestinal cancer is 3.5 million cases, with 63% of these cases
resulting in death, for a total of 2.2 million deaths per year. Endoscopy is the gold standard …
resulting in death, for a total of 2.2 million deaths per year. Endoscopy is the gold standard …
A Hybrid Approach to Intelligent Prediction of Medical Conditions A Framework for Advancing Medical Diagnostics through Novel Hybrid Deep Learning Models …
Z Loukil - 2024 - eprints.glos.ac.uk
Medical image analysis is currently challenged by the need to achieve precision in
diagnostic methods while maintaining broad applicability across diverse datasets. This …
diagnostic methods while maintaining broad applicability across diverse datasets. This …