The fog computing paradigm is promising for deploying various delay-sensitive Internet of Things (IoT) applications. The resource-constrained fog devices restrict the number of application deployments due to a lack of efficient resource estimation and discovery mechanisms for various emergent...

As an important component of the national innovation system, universities have received widespread attention in recent years regarding their Scientific and Technological Innovation (STI) efficiency. This study considers a new perspective for viewing talent cultivation, scientific research, and...

A mutualism of nature-inspired algorithms, the Bald Eagle Search Algorithm (BESA) with the Crow Search Algorithm (CSA), is proposed for Gaussian Mixture Model optimisation in the speaker verification framework. BESA simulates bald eagles' hunting behaviour, whereas CSA simulates crows'...

The intuitionistic fuzzy differential equation (IFDE) is a robust mathematical tool that can deal with problems arising from model uncertainties. Intuitionistic sets are generalized sets of fuzzy sets. They establish that IFDE comprises an intuitionistic number characterized by membership and...

This paper focuses on a comparative analysis between two multi-criteria decision-making (MCDM) methods, called the Simple Ranking Process (SRP) and Faire Un Choix Adéquat (FUCA). Two examples are used to reveal the similarities and differences between these two methods. The findings established...

Some unusual combinations of predictor values in multivariate regression often influence tampering with the output, and filtering those observations becomes the trickiest and most challenging task. This concern is prevalent and predominant in ecological domains, especially in soil samples, as...

Over the past five years, emerging economies have consistently progressed toward achieving greater economic independence. The aviation industry has played a significant role in driving this progress. Accurately forecasting the future demand for air travel is crucial for making long-term...

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)...