One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
Abstract: Recently, deep learning-based electroencephalogram (EEG) analysis and decoding have attracted widespread attention for monitoring the clinical condition of users and identifying their ...
When managing associate Tanya Sadoughi found a recurring problem in the banking and finance practice, she put her newfound ...
Penn State researchers have developed a new artificial intelligence framework with potential implications for fields ranging from Alzheimer’s disease research to advanced materials design. The ...
Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...
Abstract: In nonlinear control, barrier Lyapunov function is frequently utilized to handle state constraints; however, a feasibility condition for virtual signals often needs to be verified. In ...
Some people seem to pick up new skills the way a sponge soaks up water, while others grind through repetition with only ...