Cardiac disease treatments are often being subjected to the acquisition and analysis of vast
quantity of digital cardiac data. These data can be utilized for various beneficial purposes …

It had been just over a decade since the Feature Selective Validation method was proposed
in the. As an automated validation method recommended by the IEEE Standard 1597.1/2 …

Wind speed forecasting models have seen significant development and growth in recent
years. In particular, hybrid models have been emerging since the last decade. Hybrid …

This paper presents a measurement system intended to be used to assets the radiated
electromagnetic interference (EMI) in both time and frequency domains. In order to keep the …

In anticipation of the hybrid utilisation of the radio frequency (RF) wireless transceiver
technology embedded in future smart Li-ion battery cells to deliver hybrid links based on …

This paper presents research extending the feature selective validation (FSV) method to
quantitatively compare multiple datasets. The analytic hierarchy process is introduced to …

Automatic methods to evaluate the validity of computational electromagnetics computer
modeling and simulations have widespread applications. The feature selective validation …

High-dimensional datasets, encompassing rich and valuable information, are frequently
encountered in numerous real-world scenarios. However, the task of classifying such …

Radar cross-section (RCS) error between measurement and simulation has been an
important issue in target electromagnetic scattering research. Besides the intrinsic limitation …

(China Defense Science and Technology Information Center, Beijing 100142, China)
Abstract: With the development of electromagnetic computer modeling technology, the …