Abstract Application Programming Interfaces (APIs) have significantly transformed the
financial technology (FinTech) sector through integration, accessibility, and operational …

Diagnosing rare diseases is a challenging task due to the limited availability of labeled
medical imaging data and the complexity of disease patterns. This paper proposes a transfer …

The use of artificial intelligence and machine learning, particularly neural networks, has
effectively directed an increase in datadriven solutions and applications in different domains …

This paper is about self-healing cloud infrastructures equipped with artificial intelligence to
enable autonomous recovery from unforeseen runtime faults. As cloud-in-a-robot or robot …

We investigate and analyze the trends and behaviors in credit card fraud attacks and
transactions. First, we perform logical analysis to find hidden patterns and trends, then we …

Deep learning approaches are very useful to enhance cybersecurity protocols for industry-
integrated big data enterprise resource planning systems. This research study develops …

The abstract is typically the first item that interacts deeply with a reader of academic and
scientific literature to point out the contributions and contextualize the importance of the …

The multitude of services and resources available in multi-cloud environments has
increased the importance of analytics applications in cloud brokering. These applications …

We investigate and analyze the trends and behaviors in credit card fraud attacks and
transactions. First, we perform logical analysis to find hidden patterns and trends, then we …

To ensure maximum flexibility, service providers offer a variety of computing options with
regard to CPU, memory capacity, and network bandwidth. At the same time, the efficient …