Fog computing is an increasingly important technology that aims to overcome the constraints
of conventional cloud computing, espe-cially in situations that need minimal delay …

Fractional investments in commercial real estate are becoming increasingly popular, there is
an ever-increasing demand for efficient risk assessment methodologies. The deep learning …

This paper introduces a novel approach powered by artificial intelligence for risk evaluation
in fractional commercial real estate transactions. Though it involves special risks owing to …

This research investigates the application of Gradient Boosting Machines (GBM) for
enhancing the interpretability of financial risk assessment models. In the finance sector …

Financial systems have become more complicated than ever before due to their fast growth,
which calls for creative methods of managing, analyzing, and forecasting system behavior …

Integrating Generative AI into Site Reliability Engineering (SRE) marks a transformative
evolution in maintaining and enhancing complex systems' reliability, scalability, and …

The increasing prevalence of fraudulent activities in banking transactions has highlighted
the need for more efficient and intelligent detection systems. This paper explores the …

With the increasing frequency of financial fraud and cybercrimes, there is a pressing need
for effective and efficient systems to detect suspicious bank transactions. This paper …

The rapid evolution of financial systems has introduced unprecedented complexities,
necessitating innovative approaches to manage, analyze, and predict system behaviors …

In the banking industry, where quick, precise risk assessment determines regulatory
compliance and financial stability, liquidity risk still causes great worry. Emphasizing forecast …