Excel is everywhere—more than 750 million people open a workbook each year to balance budgets, fine-tune supply chains, and ...

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.

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

Data analysis is no longer a specialist skill reserved for analysts. It now supports finance, trading, ecommerce, marketing, ...

The new features, including connectors to third-party data sources, are aimed at making the AI assistant more useful for ...

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 ...

A boring setting with huge payoff.

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 ...