Class imbalance (CI) in classification problems arises when the number of observations
belonging to one class is lower than the other. Ensemble learning combines multiple models …

Battery degradation, caused by multiple coupled degradation mechanisms, severely affects
the safety and sustainability of a battery management system (BMS). The battery state of …

Abstract Machine learning (ML), as the most promising paradigm to discover deep
knowledge from data, has been widely applied to practical applications, such as …

Determining the aggressiveness of gliomas, termed grading, is a critical step toward
treatment optimization to increase the survival rate and decrease treatment toxicity for …

The recent breakthrough of deep learning based generative models has led to the escalated
generation of photo-realistic synthetic videos with significant visual quality. Automated …

The intrusion detection system (IDS) model, which can identify the presence of intruders in
the network and take some predefined action for safe data transit across the network, is …

Diabetes is a dreaded disease that can be identified by elevated blood glucose levels in the
blood, and undiagnosed diabetes can cause a host of related complications, such as …

Differences in wheat endosperm structure contribute to differences in wheat flour texture and
directly affect aspects such as flour quality, processing, and use. Therefore, the accurate …

Abstract The concept of Autonomous Taxis (ATs) has witnessed a remarkable surge in
popularity in recent years, paving the way toward future smart cities. However, accurately …

Recycled powder (RP) serves as a potential and prospective substitute for cementitious
materials in concrete. The compressive strength of RP mortar is a pivotal factor affecting the …