In the contemporary era, a significant number of individuals encounter various health issues,
including digestive system ailments, even during their advanced years. The major purpose …

In the domain of real-world concept learning, feature selection plays a crucial role in
accelerating learning processes and enhancing the quality of classification concepts …

Cyber–physical systems (CPS) for device-to-device (D2D) communications are gaining
prominence in today's sophisticated data transmission infrastructures. This research intends …

Spectral indices are of fundamental importance in providing insights into the distinctive
characteristics of oil spills, making them indispensable tools for effective action planning …

In recent years, graph convolutional networks (GCNs) have attracted increasing attention in
hyperspectral image (HSI) classification owing to their exceptional representation …

The unique spatial–spectral integration characteristics of hyperspectral imagery (HSI) make
it widely applicable in many fields. The spatial–spectral feature fusion-based HSI …

This research proposes a learning-based efficient single-image dehazing method.
Dehazing, discriminator, and fine-tuning networks build the end-to-end network model …

Multi-level thresholding image segmentation divides an image into multiple regions of
interest and is a key step in image processing and image analysis. Aiming toward the …

Conventional agricultural practices encounter alarming challenges, such as diminishing
water resources, and extreme weather conditions, resulting in reduced crop productivity and …

This research paper examines the capability of fuzzy time collection for hyperspectral
photograph classification. Fuzzy time series (FTS) is a time series in which fuzzy standards …