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Manual cocoa bean inspection is subjective and prone to error, significantly impacting chocolate production. This study presents an automated, high-throughput cocoa bean grading system leveraging YOLOv10, YOLOv11, and Vi...

Abstract Underwater imaging suffers from various challenges such as color distortion, low contrast, and reduced visibility caused by light attenuation. Addressing these issues is crucial for improving the performance of ...

Intra-specific color variation is often underestimated by researchers, and among mammalian species, intra-specific differences in coloration are poorly documented for most species. The main goal of this study was to appl...

Complex interactions between seawater and freshwater govern intrusion and stabilization in coastal aquifers. Previous studies have primarily relied on interface-based analyses, limiting full-field spatial quantification ...

The article discusses correlations between artistic vision and poetics in Vasyl Stefanyk’s novellas. It is argued that the writer’s modernist aesthetic experience left its imprint on his literary works. The author co...

Introduction: Vision plays a critical role in maintaining quality of life, particularly among elderly individuals. Senile cataracts, a leading cause of visual impairment in older adults, can significantly hinder daily fu...

The Autonomous search and rescue operations in hazardous en- vironments demands a robust perception, precise localization, and intelli- gent navigation. This paper presents an integrated robotic system on the TurtleBot3 ...

An accurate intraoperative assessment of tissue perfusion in digestive surgery is critical to prevent complications such as anastomotic leakage, an event in which a surgical connection between organs fails to heal proper...

Este artículo explora la manera en que una estrategia pedagógica basada en el cuento El monstruo de colores puede fomentar la expresión de emociones y favorecer la continuidad educativa en niños y niñas del grado de...

In this study, a novel Quantum Self-Attention Neural Network for Multi-Model Aerial Image Classification (QSANN-MAIC) is proposed. The objective of this paper is to develop a high-performance learning framework capable o...

Conventional adversarial perturbations on traffic sign images often induce noticeable color shifts and abnormal contrast compared to natural images, rendering them susceptible to detection, particularly by Vision Transfo...