Bearings in aerospace, application, distress, and life: a review

N Kumar, RK Satapathy - Journal of Failure Analysis and Prevention, 2023 - Springer
Despite enormous research, material, and manufacturing advancements in bearings, these
continue to fail in critical aerospace applications. Material and processing aspects of …

A comprehensive review on machine learning in brain tumor classification: taxonomy, challenges, and future trends

M Ghorbian, S Ghorbian, M Ghobaei-arani - Biomedical Signal Processing …, 2024 - Elsevier
Abstract In recent years, Machine Learning (ML), a key component of artificial intelligence
(AI), has become increasingly popular in data analysis and processing. ML is now widely …

Enhancing histopathological medical image classification for Early cancer diagnosis using deep learning and explainable AI–LIME & SHAP

CC Ukwuoma, D Cai, EO Eziefuna… - … Signal Processing and …, 2025 - Elsevier
Cancer is a significant health concern globally and its early identification and screening are
essential for better patient outcomes. To accurately perform cancer diagnosis and ascertain …

[HTML][HTML] Wind turbine bearing failure diagnosis using multi-scale feature extraction and residual neural networks with block attention

Y Luo, Y Yang, S Kang, X Tian, S Liu, F Sun - Actuators, 2024 - mdpi.com
Wind turbine rolling bearings are crucial components for ensuring the reliability and stability
of wind power systems. Their failure can lead to significant economic losses and equipment …

Bi-level binary coded fully connected classifier based on residual network 50 with bottom and deep level features for bearing fault diagnosis

L Yin, Z Wang - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Among the existing bearing fault diagnosis algorithms, the diagnosis time of algorithms with
high accuracy is relatively long, and the accuracy of some lightweight methods is low …

Graph reasoning and Inception attention network for dermoscopy segmentation

T Cheng - Biomedical Signal Processing and Control, 2024 - Elsevier
Precise segmentation of lesions from dermoscopy images is an essential task in computer-
aided surgical planning. Unlike current methods that often concentrate on attention …

Efficient nuclei semantic segmentation in histopathology images: A weakly supervised approach with color and sure-foreground extraction

NN Naing, H Chen, L Xia, Z Gao, J An - Biomedical Signal Processing and …, 2024 - Elsevier
Nuclei segmentation, a critical task in cancer diagnosis, presents substantial challenges in
histopathological image analysis due to the labor-intensive and time-consuming nature of …

Mammo-Light: A lightweight convolutional neural network for diagnosing breast cancer from mammography images

MAK Raiaan, NM Fahad, MSH Mukta… - … Signal Processing and …, 2024 - Elsevier
People of all countries, developed and developing alike endure cancer-related fatal
diseases. The rate of breast cancer in females is increasing daily, partly due to ignorance …

Modified 2d-ewt-based automated system for glaucoma diagnosis

A Rawat, MP Singh, RR Sharma - IETE Journal of Research, 2024 - Taylor & Francis
Glaucoma is an eye disease which has been one of the leading causes of loss of vision
worldwide. It occurs when the fluid pressure in the optic nerve increases which causes the …

Data-driven 2D-EWT based diabetic retinopathy identification using hybrid neural network

A Rawat, MP Singh, RR Sharma - Image and Vision Computing, 2024 - Elsevier
Diabetic retinopathy (DR) is one of the primary reason of blindness over the globe. During
DR, retina deteriorates continuously with the presence of lesions. It is difficult to detect DR in …