Predicting profitability in the banking sector is essential for effective financial management, risk mitigation, and sustainable growth. In the context of Vietnamese commercial banks, profitability prediction poses significant challenges due to complex relationships among financial metrics and...

Accurately predicting credit risk is vital for banks to avoid bankruptcy. Furthermore, there is tremendous pressure to successfully manage credit risk while meeting changing consumer expectations and regulatory norms, yet there is no practical framework in Vietnam for applying advanced machine...

Financial risk management is essential for protecting both traditional institutions and the fast-evolving fintech sector. However, fintech brings new challenges, such as increased fraud and market volatility, which conventional risk management strategies are often inadequate to address. To...

This study explores the dielectric properties and conductivity of nanocomposite membranes fabricated using polyvinylidene fluoride (PVDF), multi-walled carbon nanotubes (MWCNTs), and poly (styrene sulfonic acid) (PSSA). PVDF works as a polymer, while PSSA behaves as a polyelectrolyte. With such...

Grover's algorithm, which was discovered in 1996, is faster than any classical algorithm can ever be. Quantum systems are in a superposition of states and can examine multiple data simultaneously. This work conducted a comprehensive analysis to understand how Grover's algorithm works. Grover's...

Although potato is an important global crop, it suffers from a range of diseases that can cause substantial yield losses. Despite being a significant crop worldwide, potatoes are vulnerable to various diseases that can lead to significant decreases in production. The timely and accurate...

This chapter presents a comprehensive assessment of VPN (Virtual Private Network) security using different deep learning algorithms. The purpose of the study is to predict whether a given VPN IP address is safe to use by detecting IP address leaks, DNS leaks, encryption strength, and anomalies...

Quantile estimation is an important and frequent task in data analysis. A naive approach by sorting then selecting the corresponding element in the sorted list cannot be done in a very large dataset or online streaming dataset. The data structure t-digest is an efficient way to reduce the...

In the rapidly evolving field of video surveillance and security, there is an urgent need for facial recognition systems that can autonomously adapt and improve their accuracy in real-time, particularly in dynamic environments where new faces frequently appear, and lighting conditions constantly...

In the aftermath of COVID-19, patients often experience lingering pulmonary complications, which can be effectively detected and analyzed through chest X-rays. This study uses the potent artificial intelligence technique, U-Net structure, to automatically identify and segment lung anomalies...