The lower Davies Bouldin Index (DBI) is considered the best clustering algorithm based on
the criteria that yields a cluster set. The purpose of this research is to optimize the clustering …

The rapid deployment of lithium-ion batteries in clean energy and electric vehicle
applications will also increase the volume of retired batteries in the coming years. Retired Li …

The problem of long-term deformation caused by creep and shrinkage (C&S) needs to be
concerned in the design and service of concrete structures. Although various models have …

This paper introduces a kernel based fuzzy clustering approach to deal with the non-linear
separable problems by applying kernel Radial Basis Functions (RBF) which maps the input …

The purpose of this research is to analyze mapping results in the form of clusters formed
using clustering method measures. This is done to determine the connections that the …

Recent trends in the Web of Things (WoT) have led to data explosion. Data lake (DL), as a
flexible on-demand heterogeneous data management architecture, has become a feasible …

Spike sorting is a fundamental step in extracting single-unit activity from neural ensemble
recordings, which play an important role in basic neuroscience and neurotechnologies. A …

Cells are the basic building blocks of human organisms, and the identification of their types
and states in transcriptomic data is an important and challenging task. Many of the existing …

This paper proposes a novel multimodal data classifier named Center Boundary Balancing
Multimodal Classifier (CBBMC) to fuse and classify the spatial and temporal descriptors for …

Reconfiguration is an important means to achieve optimal operation of the distribution
network, but in actual distribution network operation, sectionalizing and tie switches are …