Devdiscourse

Artificial intelligence identifies climate hotspots driving drought

The study’s AI-generated maps showed that the Locride area, located within the Aspromonte Geopark, faced the highest drought ...
InfoQ

Fraud Detection Using Random Forest, Neural Autoencoder, and Isolation Forest Techniques

Key Takeaways Fraud detection techniques mostly stem from the anomaly detection branch of data science. If the dataset has sufficient number of fraud examples, supervised machine learning algorithms ...
pv magazine International

Machine learning-based fault detection technique for bifacial PV

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...
Hackaday

Training Bats In The Random Forest With The Confusion Matrix

When exploring the realm of Machine Learning, it’s always nice to have some real and interesting data to work with. That’s where the bats come in – they’re fascinating animals that emit very ...
ProPublica

The (Random) Forests for the Trees: How Our Spillover Model Works

ProPublica is a nonprofit newsroom that investigates abuses of power. Sign up to receive our biggest stories as soon as they’re published. This year at ProPublica, we’ve paired computer modeling with ...