Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

Abstract: This article presents a novel method for accurately and conveniently inverting the relative permittivity and conductivity of half-space medium using a single antenna in the presence of ...

Abstract: Radar super-resolution imaging methods with joint low-rank and sparse constraints have garnered increasing attention. However, in complex imaging scenarios, the low-rank property of the ...

Dependency injection is an advanced topic. The term was coined by Martin Fowler in 2004 to describe the new, novel and almost magical way that inversion of control containers initialized the ...

This thesis provides an overview of adaptive stochastic gradient descent methods for large-scale optimization, and elaborates on their background, theoretical properties and practical performance.

Implementation and practical notes for test-time adaptation (TTA) on time-series classification tasks (e.g., EEG/FD/HAR).