A graph approach to time series data provides a new perspective for analyzing and
comprehending the characteristics of the data. One common method of converting time …

In response to global warming, carbon trading market emerges to reduce carbon emissions.
However, uncertain fluctuations and complicated price mechanisms in the market have …

Snoring, as a prevalent symptom, seriously interferes with life quality of patients with sleep
disordered breathing only (simple snorers), patients with obstructive sleep apnea (OSA) and …

Modern power grids are faced with a series of challenges, such as the ever-increasing
demand for renewable energy sources, extensive urbanization, climate and energy crisis …

Information technology and statistical modeling have made significant contributions to smart
agriculture. Machine vision and hyperspectral technologies, with their non-destructive and …

The research community has extensively utilized biometrics, which is one of the most
prominent sources of knowledge for authentication schemes in the rapidly advancing field of …

Complexity evaluation of hydro-climatic datasets is a challenging but essential pre-requisite
for accurate modeling and subsequent planning. Changes in climate and anthropogenic …

A time series can often be characterized using machine learning techniques, which require
feature vectors as input. The quality of the feature vectors reflects the accuracy of the utilized …

The analysis of textures is an important task in image processing and computer vision
because it provides significant data for image retrieval, synthesis, segmentation, and …

Texture, a crucial element in image recognition, presents challenges in computer vision
tasks like segmentation and classification. This study aims to introduce a novel approach to …