Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …

Abstract Whale Optimization Algorithm (WOA) is an optimization algorithm developed by
Mirjalili and Lewis in 2016. An overview of WOA is described in this paper, rooted from the …

Text classification (TC) is an approach used for the classification of any kind of documents
for the target category or out. In this paper, we implemented the Support Vector Machines …

This paper surveys the machine learning literature and presents in an optimization
framework several commonly used machine learning approaches. Particularly …

Surface-enhanced Raman spectroscopy (SERS) has gained increasing attention because it
provides rich chemical information and high sensitivity, being applicable in many scientific …

Accurate credit risk prediction can help companies avoid bankruptcies and make
adjustments ahead of time. There is a tendency in corporate credit risk prediction that more …

The lack of sufficient big data-based approaches impedes the development of human
resource management (HRM) research and practices. Although scholars have realized the …

Abstract Purpose Nowadays, Supply Chain Finance (SCF) has been develo** rapidly
since the emergence of credit risk. Therefore, this paper used SVM optimized by the firefly …

Forecasting cryptocurrency behaviour is an increasingly important issue for investors.
However, proposed analytical approaches typically suffer from a lack of explanatory power …

Feature selection is a meaningful aspect of data mining that aims to select more relevant
data features and provide more concise and explicit data descriptions. It is beneficial for …