Frontiers

Explainable Machine Learning Reveals Multifactorial Drivers of Early Intracranial Hematoma Progression in Traumatic Brain Injury: Development of a SHAP-Guided SVM Nomogram

The final, formatted version of the article will be published soon. Background: Early intracranial hematoma progression is a common and life-threatening complication of traumatic brain injury (TBI), ...
Tech Xplore

Decoding the shadows: Vehicle recognition software uncovers unusual traffic behavior

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...
Psychology Today

Navigating the Impacts of AI-Driven Social Media Algorithms

Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and ...
Tech Xplore

Why reinforcement learning breaks at scale, and how a new method fixes it

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
IEEE

Smart Thyroid: A Deep Learning-Driven SVM Model for Thyroid Diagnosis

Abstract: Effective therapy and patient care for thyroid conditions like hypothyroidism and hyperthyroidism depend on an accurate and timely diagnosis. Automated and accurate categorization algorithms ...
IEEE

Noise-Resilient Protection Algorithm in Renewable Integrated Microgrid Based on Zero-Sequence Current Detection, Differential Faulty Energy, VMD, and SVM

Abstract: The integration of renewable energy sources into microgrids introduces significant challenges in protection, stability, and reliability. Reliable protection of renewable integrated ...