This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...

Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

EBT theft is significantly down in California, new state data shows. Since the start of 2024, reported Electronic Benefits ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Anmol Agarwal, senior security researcher at Nokia and adjunct professor, advances AI-driven cybersecurity for 5G and 6G ...

Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...

Through this partnership, UMSL will offer applied, career-focused programs across artificial intelligence, data analytics, ...