Solar panels are increasingly popular due to global energy shortages and rising costs.
However, managing large or elevated panel systems requires regular oversight, leading to …

Recent advancements in retinal vessel segmentation, which employ transformer-based and
domain-adaptive approaches, show promise in addressing the complexity of ocular …

This study integrates colorimetry and computation by identifying their commonalities to
develop a novel encryption system centered around color, specifically using QR codes. We …

Brain tumours may be either benign or malignant. The highest grade of brain tumours is
associated with a very poor survival rate. So, plan your treatments ahead of time. Improve …

In this paper, we introduce Wide-TSNet, a novel hybrid approach for predicting Bitcoin prices
using time-series data transformed into images. The method involves converting time-series …

Defocus deblurring is an important task in computer vision that aims to bring images back to
clarity. Over recent years, both blind defocuse deblurring and non-blind defocuse deblurring …

When clinically reviewing lateral cervical spine X-ray images, manual adjustment of contrast
is often necessary to highlight features of interest. Gamma correction is one of the most …

New artificial intelligence scenarios, such as high-precision online industrial detection,
unmanned driving, etc., are constantly emerging and have resulted in an increasing demand …

Background The limitations in current medical imaging systems often result in poor visibility
and insufficient detail. Such low-quality images hinder the decision-making of medical …

Recently, the tensor nuclear norm, based on self-supervised nonlinear transformations, has
gained significant attention in multidimensional image restoration. However, its primary …