This article presents a novel and efficient batch data selection method based on active and
unsupervised learning in real-time near-field scanning. The new approach shows a …

This letter presents an active machine learning method for multi-frequency and multi-
component sparse near-field scanning (NFS), which significantly accelerates the NFS …

This article presents a novel hybrid approach for electromagnetic near-field scanning,
combining model-based, ie, Gaussian processes regression, and data-driven, ie, dynamic …

Near-field scanning (NFS) is a promising method to capture the current propagation in an
electronic system through an automated scanning system. This article presents a novel and …

Specific features of using the Geman-McClure function have been analyzed that are based
on its properties in predicting telecommunication processes with anomalies or deviations by …

As one of the most useful methods in electromagnetic interference (EMI) diagnosis, near-
field (NF) scanning is widely used in electromagnetic compatibility (EMC) evaluation of …

With the diversified development of antenna shapes, outdoor near-field measurement
technology for large antennas and electromagnetic equipment has received extensive …

Анотація Проаналізовано особливості використання функції Джимана-МакКлура, які
ґрунтуються на її властивостях, при прогнозуванні у телекомунікаціях процесів з …

With the increasing integration and power consumption of high-speed digital/analog chips,
the current density inside the chip doubles and the number of the radiation sources is on the …