Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

This study reviews the advancements in AI-driven methods for predicting stock prices, tracing their evolution from traditional approaches to modern finance. The role of AI in the market extends beyond ...

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...

Abstract: Fraud detection in financial operations is a vital obligation for maintaining integrity and privacy of financial processes. This research utilizes powerful machine learning algorithms to ...

Aim: This mini review aimed to synthesize current evidence on applied improvisation programs in higher education across disciplines, identifying their impact, implementation, evaluation methods, and ...