With the rapid development of electric vehicles, the safe and environmentally friendly
disposal of retired lithium batteries (LIBs) is becoming a serious issue. Echelon utilization of …

With the increasing production and marketing of global electric vehicles (EVs), a large
quantity of lithium ion battery (LIB) raw materials are demanded, and massive LIBs will be …

Clustering techniques are used to group the data based on the structure or through
classification to reduce the mathematical complexity of large datasets. The hierarchical and …

Magnesium with 10% of SiC is prepared through the stir casting process. An integrated
Taguchi-Fuzzy model for L27 orthogonal array for Airjet machining parameters is developed …

Semisupervised clustering methods improve performance by randomly selecting pairwise
constraints, which may lead to redundancy and instability. In this context, active clustering is …

This paper investigates the system model and the transmit beamforming design for the Cell-
Free massive multi-input multi-output (MIMO) integrated sensing and communication (ISAC) …

The concept of virtual synchronous machine (VSM) was proposed to deal with the
shortcomings of low inertia and damping of traditional control strategies for power electronic …

The paper presents a novel hybrid approach for the simplification of higher order models to
obtain the lower order model. The proposed method presented in this paper is used to …

Graph-based clustering is a hot topic in machine learning, whose effectiveness highly relies
on the quality of the learned graph. Recent researches preferred to learn the nearest doubly …

Motion segmentation has gained increasing attention due to its significance for many public
surveillance applications, such as behavior understanding and density estimation. Thus …