Image classification is a very popular machine learning domain in which deep convolutional
neural networks have mainly emerged on such applications. These networks manage to …

Contactless vital signs monitoring based on optical fiber Mach-Zehnder interferometer aided
with passive homodyne demodulation m Page 1 M4A.79.pdf Asia Communications and …

In this work, we present a comparative study on the performance of Fourier-based OFDM
(FFT-OFDM) and wavelet-based OFDM (DWT-OFDM) under compressive sensing (CS) …

In this paper, several deep learning models are analyzed for the construction of the
automated helping system to ECG classification. The methodology presented in this article …

In general, the goal of the interpretability and explainability domain in machine learning
aims to provide an explanation for the predictions performed by intelligent machine models …

This thesis studies the merits of applying log-gradient input images to convolutional neural
networks (CNNs) for tinyML computer vision (CV). We show that log gradients enable:(i) …

The research of the technology of modulation identification of digital communication signals
is one of the key technologies of receivers in non-cooperative communication systems, and …

Communications development is the fastest-growing Nowadays, so the need and the
constant demand for faster and more reliable communication methods have increased …

It is a common phenomenon that when a motor runs, there is a sound. In addition, when the
motor accelerates or decelerates, the sound changes. The underlying reason is surmised to …