Spam emails are unwanted and unsolicited messages. The major problems in email spam detection methods are low detection rates and a high likelihood of false alarms. This study proposes a hybrid correlation-based deep learning model for email spam classification using a fuzzy inference system....

Appointment scheduling is critical to increasing resource utilization and operational performance in various industry domains, especially healthcare. Costs to care for several serious diseases are projected to grow due to the aging population and rising drug prices. Thus, there is an urgent need...

This study identifies and examines the critical factors for adopting machine learning technologies in manufacturing supply chains. Initially, a thorough literature review was employed to identify 13 critical factors, and then the Decision-Making Trial and Evaluation Laboratory (DEMATEL)...

Gearbox failures can lead to substantial damage, significant financial losses due to maintenance downtimes, and, in some instances, fatalities. This study introduces an intelligent gear fault diagnosis system employing a convolutional neural network (CNN), utilizing vibration and thermal...

Blockchain and Machine Learning (ML) are state-of-the-art technologies in the digital era. Developing countries have witnessed great digital transformation, and one of the key challenges during this development phase has been to create a platform that integrates the health and vitals of citizens...

Goods and services are sold through social media by individuals not authorized as legitimate dealers, resulting in lost taxes and customs duties to governments. This study proposes a model called SHIELD for detecting these violations through unstructured data in social media. The process...

While the economic harm of cartels is caused by their price-increasing effect, sanctioning by courts rather targets at the underlying process of firms reaching a price-fixing agreement. This paper provides experimental evidence on the question whether such sanctioning meets the economic target,...