Food waste reduction, as a major application area of the Internet of Things (IoT) and big data
technologies, has become one of the most pressing issues. In recent years, there has been …

The advancements in the field of cheminformatics have led to a reduction in animal testing to
estimate the activity, property, and toxicity of query chemicals. Read-across structure–activity …

The early diagnosis of pine wilt disease (PWD) is crucial to its management. Substantial
effort has been made to develop an accurate early diagnosis method. However, none of the …

Unmanned aerial vehicles (UAVs) are an emerging technology in the 5G-and-beyond
systems with the promise of assisting cellular communications and supporting IoT …

Coronary artery disease (CAD) is a leading cause of death worldwide and is associated with
high healthcare expenditure. Researchers are motivated to apply machine learning (ML) for …

It is quite an important and challenging problem for change detection (CD) from
heterogeneous remote sensing images. The images obtained from different sensors (ie …

Abstract Multi-Voxel Pattern Analysis (MVPA) is a well established tool to disclose weak,
distributed effects in brain activity patterns. The generalization ability is assessed by testing …

The intricate nature of the blood–brain barrier (BBB) poses a significant challenge in
predicting drug permeability, which is crucial for assessing central nervous system (CNS) …

Particle classification is essential for geotechnical engineering practice since particle
shapes correlate with the mechanical and hydraulic properties of sand layers. Traditional …

Background Emotion recognition plays a key role in multimedia. To enhance the sensation
of reality, smell has been incorporated into multimedia systems because it can directly …