Abstract: These days, intrusion detection systems are one of the newest trends in society. These technologies serve as a defense against a variety of security breaches, the number of which has been ...

Abstract: Breast cancer is a prominent and fatal cancers that affect adult females worldwide. Improving patient outcomes requires early detection and accurate diagnosis. Recent advances in computer ...

The Iris Flower Classification project successfully classified flowers into their respective species using machine learning techniques. Logistic Regression, K-Nearest Neighbors, and Decision Tree ...

Overview: Fewer than half of enterprise machine learning models reach production, and the root cause is almost always a ...

Idiopathic inflammatory myopathies (IIM) are a heterogenous group of autoimmune conditions with substantial morbidity. EULAR – The European Alliance of Associations for Rheumatology – in collaboration ...

The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...

This valuable study examines whether reduced cooperation is driven by betrayal aversion beyond nonsocial loss aversion, using matched social and nonsocial risky decision-making tasks combined with ...

This valuable study uses naturalistic movie-viewing fMRI and stacked encoding models to investigate sensory feature representations in autistic and non-autistic youth, showing a relative shift toward ...

Idiopathic inflammatory myopathies (IIM) are a heterogenous group of autoimmune conditions with substantial morbidity.

We compared DA and ITL models with baseline models (without TL) of fully connected neural networks, logistic regression, and lasso regression in the prediction of 30-day mortality, acute kidney injury ...

The combination of pharmacotherapy and psychotherapy is associated with reductions in emergency department visits and inpatient admissions along with lower total cost of care relative to either ...