Multi-focus image fusion is an effective technique to extend the depth-of-field of optical
lenses by creating an all-in-focus image from a set of partially focused images of the same …

This paper implements a systematic methodological approach to review the evolution of
YOLO variants. Each variant is dissected by examining its internal architectural composition …

Multi-focus image fusion (MFIF) is an important area in image processing. Since 2017, deep
learning has been introduced to the field of MFIF and various methods have been proposed …

Multi-focus image fusion methods can be mainly divided into two categories: transform
domain methods and spatial domain methods. Recent emerged deep learning (DL)-based …

Synthetic aperture radar (SAR), due to its inherent characteristics, will produce speckle
noise, which results in the deterioration of image quality, so the removal of speckle in SAR …

Psoriasis is a skin disease that causes lesions of various sizes across the body and can
persist for years with cyclic deterioration and improvement. During treatment, and a multiple …

Aiming at the problem that weak faults in rolling bearings make effective fault diagnosis
difficult under strong noise, this paper proposes a multilevel denoising technology based on …

Assigning developers and allocating issue types are two important tasks in the bug triage
process. Existing approaches tackle these two tasks separately, which is time-consuming …

Multi-modal medical image fusion (MMIF) has found wide application in the field of disease
diagnosis and surgical guidance. Despite the popularity of deep learning (DL)-based fusion …

Bearings are one of the most important parts of a rotating machine. Bearing failure can lead
to mechanical failure, financial loss, and even personal injury. In recent years, various deep …