Tech Xplore

With machine learning, researchers embrace the atomic-scale complexity of batteries

For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National ...
Tech Xplore

Daydreaming algorithm helps AI remember what matters

During the day, our brain acquires new memories; at night, during sleep, it consolidates the important ones and eliminates ...
InsuranceNewsNet

Researchers at University Gadjah Mada Report Research in Machine Learning (Landscape of Machine Learning for Health Insurance Fraud Detection: Global Evidence and Lessons for ...

By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Researchers detail new data in artificial intelligence. According to news originating from Yogyakarta, Indonesia, by NewsRx ...

Advancing Neurological Disease Prediction through Machine Learning Techniques

A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...
IEEE

Adaptive Honeypots using Reinforcement Learning Algorithms DQN and DDQN in Ensemble Framework: A Systematic Literature Review

Abstract: The exponential growth of sophisticated cyber threats has necessitated the evolution from traditional static honeypots to intelligent, adaptive deception systems. This systematic literature ...
IEEE

Early Detection of Anemia Using Ensemble Machine Learning Algorithms with Data Balancing

Abstract: A global public health concern that impacts not just the impoverished but also rich populated countries is anemia. It's an international concern for public health assurance. Although its ...
Game Rant

Best RPGs Featuring An Ensemble Party

Great characters are crucial for RPG success. Some RPGs prioritize ensemble casts over a central character. Games like Octopath Traveler showcase the power of ensemble storytelling. More than any ...
Scientific Research Publishing

Asif, D., Bibi, M., Arif, M.S. and Mukheimer, A. (2023) Enhancing Heart Disease Prediction through Ensemble Learning Techniques with Hyperparameter Optimization. Algorithms, 16 ...

ABSTRACT: Heart disease continues to be a major global cause of death, making the development of reliable prediction models necessary to enable early detection and treatment. Using machine learning to ...
Frontiers

Reinforcement learning-based multi-model ensemble for ocean waves forecasting

This study addresses the challenges of uncertainty in wave simulations within complex and dynamic ocean environments by proposing a reinforcement learning-based model ensemble algorithm. The algorithm ...
Frontiers

Identifying major depressive disorder among US adults living alone using stacked ensemble machine learning algorithms

Our data originated from the US National Health and Nutrition Examination Survey (NHANES) spanning 2007 to 2018. We finally selected a set of 30 easily accessible variables encompassing demographic ...