Forgery and tampering continue to provide unnecessary economic burdens. Although new
anti-forgery and counterfeiting technologies arise, they inadvertently lead to the …

Many studies have recently used several deep learning methods for detecting skin cancer.
However, hyperspectral imaging (HSI) is a noninvasive optics system that can obtain …

The synergy between artificial intelligence (AI) and hyperspectral imaging (HSI) holds
tremendous potential across a wide array of fields. By leveraging AI, the processing and …

Unmanned aerial vehicles (UAVs) equipped with air quality sensors offer a powerful solution
for increasing the spatial and temporal resolution of air quality data, searching and detecting …

Simple Summary Early esophageal cancer detection is crucial for patient survival; however,
even skilled endoscopists find it challenging to identify the cancer cells in the early stages. In …

A rapid and nondestructive method for identification of soybean protein in minced chicken
meat based on visible-near infrared hyperspectral imaging (HSI) technology and VGG16 …

Air pollution (AP) is a significant risk factor for public health, and its impact is becoming
increasingly concerning in develo** countries where it is causing a growing number of …

In this study, a snapshot-based hyperspectral imaging (HSI) algorithm that converts RGB
images to HSI images is designed using the Raspberry Pi environment. A Windows-based …

This paper presents the most current and innovative solutions applying modern digital
image processing methods for the purpose of skin cancer diagnostics. Skin cancer is one of …

A hyperspectral image (HSI), which contains a number of contiguous and narrow spectral
wavelength bands, is a valuable source of data for ground cover examinations …