Anomaly Detection at Scale: Machine Learning Approaches for Enterprise Data Monitoring
In the era of technology advancements, online operations businesses accumulate vast volumes of data. More data than even large teams...
Learning
Busted! Engineers Revolutionize Fraud Detection with Machine Learning
In the U.S., credit card fraud costs $5 billion annually, identity theft adds $16.4 billion, and Medicare fraud drains $60...
Earth-like Planet Predictor: A Machine Learning Approach
Bee swarm plot of the seven features considered. The x-axis represents the SHAP value of the feature for each instance,...
Machine learning unlocks superior performance in light-driven organic crystals
Workflow of the research. Machine learning was used to find the relationship between Young's modulus and functional groups and to...
A deep learning approach for blood glucose monitoring and hypoglycemia prediction in glycogen storage disease
Traditionally, patients with GSD have had to be hospitalized or rely on fingerprick tests at home to monitor and manage...
Predicting metabolic dysfunction associated steatotic liver disease using explainable machine learning methods
Riazi, K. et al. The prevalence and incidence of NAFLD worldwide. Lancet Gastroenterol Hepatol. 7(9), 851–861 (2022).Article PubMed Google Scholar ...
