IEEE

Short-Circuit Diagnosis of Lithium-Ion Batteries Using Deep Isolation Forest in Energy ...

Abstract: Short-circuit faults in lithium-ion batteries (LIBs) pose serious safety risks, including thermal runaway, making timely detection critical for the safe operation of battery systems, ...
IEEE

Implementing Isolation Forest Anomaly Detection Into A Hybrid K-Means & K-NN Algorithm For ...

Abstract: The rise of electronic payment systems has made credit cards increasingly popular, leading to a growing number of fraudulent transactions. Rapid and accurate detection of these fraudulent ...
GitHub

gabriellucasknp/Detector-de-Anomalias-em-Transacoes

detecto_de_anomalias em transações/ ├── docker-compose.yml # MySQL 8.0 + app Python ├── Dockerfile # Container dev (Python 3.11 + Java 17) ├── requirements.txt # Todas as dependências Python ├── ...
GitHub

Prithvi829/UPI-Fraud-Detection-using-ML-Deep-Learning

# UPI Anomaly Detection System A real-time fraud detection system using Isolation Forest and Autoencoder models. ## Features - Anomaly detection on transactions - Real-time scoring API - Dashboard ...