machine learning deployment
machine learning deployment

Predictive factors of hypoglycemia in type 2 diabetes: a prospective study using machine learning – Nature

Predictive factors of hypoglycemia in type 2 diabetes: a prospective study using machine learning  Nature

Predictive factors of hypoglycemia in type 2 diabetes: a prospective study using machine learning – Nature

Predictive factors of hypoglycemia in type 2 diabetes: a prospective study using machine learning  Nature

Design optimization of university ideological and political education system based on deep learning – Nature

Design optimization of university ideological and political education system based on deep learning  Nature

Flood risk assessment with machine learning: insights from the 2022 Pakistan mega-flood and climate adaptation strategies – Nature

Flood risk assessment with machine learning: insights from the 2022 Pakistan mega-flood and climate adaptation strategies  Nature

A Real-World Energy Management Dataset from a Smart Company Building for Optimization and Machine Learning – Nature

A Real-World Energy Management Dataset from a Smart Company Building for Optimization and Machine Learning  Nature

Deep learning algorithms reveal genomic markers for anxiety disorder in a large cohort of children with down syndrome – Nature

Deep learning algorithms reveal genomic markers for anxiety disorder in a large cohort of children with down syndrome  Nature

Machine Learning Approach to Eyelid Tumor Detection – Physician’s Weekly

Machine Learning Approach to Eyelid Tumor Detection  Physician’s Weekly

Industrial-scale prediction of cement clinker phases using machine learning – Nature

Industrial-scale prediction of cement clinker phases using machine learning  Nature

Evaluating machine learning-based intrusion detection systems with explainable AI: enhancing transparency and interpretability – Frontiers

Evaluating machine learning-based intrusion detection systems with explainable AI: enhancing transparency and interpretability  Frontiers

Efficient adaptation of deep neural networks for semantic segmentation in space applications – Nature

Efficient adaptation of deep neural networks for semantic segmentation in space applications  Nature