STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
These are my go-to libraries for Python data crunching.
Real-time payment processing platform with async fraud detection pipeline: rule-based scoring, JGraphT graph anomaly detection (circular flow, hub signals, cluster analysis), and Python ML ...
Abstract: Along with the proliferation of electric vehicles (EVs), optimizing the use of EV charging space can significantly alleviate the growing load on intelligent transportation systems. As the ...
Abstract: Benefiting from the high-temporal resolution of electroencephalogram (EEG), EEG-based emotion recognition has become one of the hotspots of affective computing. For EEG-based emotion ...