Decoding the magic of ANNs

I have come across various ways of defining Artificial Neural Networks (ANNs). Many of them miss a fundamental characteristic ...
jnis.bmj

Statistical principles in neurointervention part 2. Multivariable analysis: generalized linear models, modification, confounding, and mediation

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...
IEEE

Optimizing Linear Regression Models: A Comparative Study of Error Metrics

Abstract: A revolutionary area of artificial intelligence called machine learning enables computers to learn from data and forecast without the need for explicit programming. A key component of ...
IEEE

Four Decades of E-Model Development for Time-Dependent Dielectric Breakdown (TDDB)

Abstract: A historical review of E-Model development for time-dependent dielectric breakdown (TDDB) is presented. The E-Model tends to be a very useful reliability assurance model for TDDB because of ...