Online supply chain management (OSCM) is the smart way to deal with the vast amounts of
data that come in from customers in a disorganized system to meet the quantities, volumes …

Background Human immunodeficiency virus (HIV) pre-exposure prophylaxis (PrEP) is
underutilized in the southern United States. Rapid identification of individuals vulnerable to …

The number of loan requests is rapidly growing worldwide representing a multi-billion-dollar
business in the credit approval industry. Large data volumes extracted from the banking …

Aesthetics has always been an advanced requirement in road environment design, because
it can provide a pleasant driving experience and guide better driving behavior for human …

Despite the accuracy of machine learning (ML) techniques in predicting invalid bug reports,
as shown in earlier research, and the importance of early identification of invalid bug reports …

In this study, we introduce and evaluate a novel extractive text summarization methodology,“
SummarEyes,” based on the visual interaction of the user with the text, using eye-tracking …

Integrating machine learning and data mining is crucial for processing big data and
extracting valuable insights to enhance decision-making. However, imbalanced target …

Since the COVID-19 pandemic, teachers and students have started using online and hybrid
learning in education. There might be several obstacles to adopting hybrid learning in theory …

Background: Comorbidities such as cardiovascular disease (CVD) and diabetic kidney
disease (DKD) are major burdens of type 1 diabetes (T1D). Predicting people at high risk of …

Nowadays, a lot of studies unite multiple organizations to form an anti-fraud alliance to
detect fraudulent transactions better using federated boosting tree algorithms. However …