During cardiac arrhythmia, the heart frequency is an important physiological parameter that can be identified by analyzing electrocardiogram (ECG) signals. However, the accuracy of the frequency ...
AI-driven process monitoring enhances the qualification of additively manufactured stainless-steel parts. By analysing high-frequency welding current and voltage signals in both the time and frequency ...
Abstract: Power generation using a photovoltaic (PV) system is increasing to achieve the carbon neutrality. Module-level power electronics (MLPEs) can optimize power generation for each PV panel.
Electrical and Electronic Engineering Laboratory, National Polytechnic School, Marien Ngouabi University, Brazzaville, Republic of the Congo. In the field of digital communications, a filter is a ...
Researchers found children with highly addictive use of phones, video games or social media were two to three times as likely to have thoughts of suicide or to harm themselves. By Ellen Barry As ...
Objective: This study aims to develop a multimodal deep learning-based stress detection method (MMFD-SD) using intermittently collected physiological signals from wearable devices, including ...
Abstract: The use of up to hundreds of antennas in massive multi-user (MU) multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) poses a complexity challenge for ...
The launch of new products and options during June has boosted engineers’ choices for both time- and frequency-domain analyses. In the latter category, Anritsu added differential noise-figure ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results