Predicting nurse turnover is a growing challenge within the healthcare sector, profoundly
impacting healthcare quality and the nursing profession. This study employs the Synthetic …

Automated diagnostic aids can assist human operators in signal detection tasks, providing
alarms, warnings, or diagnoses. Operators often use decision aids poorly, though, falling …

Recognizing fraudulent activity in the banking system is essential due to the significant risks
involved. When fraudulent transactions are vastly outnumbered by non-fraudulent ones …

This study was focused on deriving the MTSA-related accident reduction rate (ARR)
required to calculate the safety benefits before and after expanding the scope of the system …

Fraud is an ancient yet ever-changing profession. Because of the digitization of money,
financial transactions, banks, fraudsters now have a limitless number of possibilities to …

Automated diagnostic aids can assist human operators in signal detection tasks, providing
alarms, warnings, or diagnoses. Operators often use decision aids poorly, though, falling …

Predicting nurse turnover is a growing challenge within the healthcare sector, profoundly
impacting healthcare quality and the nursing profession. This study employs the Synthetic …

Traditional methods of fraud detection rely on rule-based systems or supervised machine
learning models that require labelled data and domain knowledge. However, these methods …

False data injection detection is a topic of interest because systems are prone to
cyberattacks which can manipulate the state estimation process by injecting malicious data …

With the blooming of technology, the financial sector has shown various number of
improvements and has provided multiple e-financial services. Frauds can occur easily and …