Within the domain of image processing, a wide array of methodologies is dedicated to tasks
including denoising, enhancement, segmentation, feature extraction, and classification …

In recent years, remarkable strides have been made in the management of gastrointestinal
disorders, transforming the landscape of patient care and outcomes. This article explores the …

With the rapid development of remote sensing (RS) technology, remote sensing images
provide an important data basis for soil type mapping. In remote sensing images, temporal …

Construction materials undergo appearance and textural changes during the construction
process. Accurate recognition of these changes is critical for effectively understanding the …

To strengthen the synergy between urban photovoltaic development and urban planning,
which can help to promote photovoltaic and renewable energy development in cities, a …

Abstract Objectives Esophageal Cancer is the sixth most common cancer with a high fatality
rate. Early prognosis of esophageal abnormalities can improve the survival rate of the …

The texture is the most fundamental aspect of a picture that contributes to its recognition.
Computer vision challenges such as picture identification and segmentation are built on the …

In this study, to address the current high early-detection miss rate of colorectal cancer (CRC)
polyps, we explore the potentials of utilizing transfer learning and machine learning (ML) …

In the domain of computer vision, entropy—defined as a measure of irregularity—has been
proposed as an effective method for analyzing the texture of images. Several studies have …

Luwak coffee (palm civet coffee) is known as one of the most expensive coffee in the world.
In order to lower production costs, Indonesian producers and retailers often mix high-priced …