Two-dimensional materials (2DMs) exhibited great potential for applications in materials
science, energy storage, environmental science, biomedicine, sensors/biosensors, and …

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 …

Air pollution has emerged as a global problem in recent years. Particularly, particulate
matter (PM2. 5) with a diameter of less than 2.5 μm can move through the air and transfer …

Detecting ovarian cancer at an early stage is crucial for enhancing patient outcomes,
underscoring the demand for an efficient and non-invasive detection method. Cancer …

The early detection and classification of lung cancer is crucial for improving a patient's
outcome. However, the traditional classification methods are based on single machine …

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 …

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 …

Nanostructured materials formed from metal oxides offer a number of advantages, such as
large surface area, improved mechanical and other physical properties, as well as …

In this study, a biochip was fabricated using a light-absorbing layer of a silicon solar element
combined with serrated, interdigitated electrodes and used to identify four different types of …