The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

Florida's Indian River Lagoon has been an ecosystem in decline going back to 2011, when harmful algal blooms led to a severe ...

Artificial intelligence (AI) is transforming game development with smarter NPCs, dynamic worlds, and personalized ...

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

Dividend growth investing is gaining traction as volatility persists, with AI tools helping investors identify companies with ...

Researchers have shown how random forest algorithms can be applied to complex ecological models to uncover the mechanisms driving system behavior. By analyzing a stage‑structured consumer‑resource ...

Machine learning powers everything from streaming recommendations to medical image analysis. Knowing its core algorithms and uses can help you apply it in work and life. Here’s a clear, ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...

Designing molecules is one of chemistry's most complex challenges. From life-saving drugs to advanced materials, each ...