Elderly people are commonly affected by Parkinson's disease (PD) which is one of the most
common neurodegenerative disorders due to the loss of dopamine-producing brain cells …

Here we present a new approach of multiplexing and simultaneous encoding of target
images. Our approach can enhance the encryption level of a classical double random phase …

Fault diagnosis of photovoltaic (PV) systems is a crucial task to guarantee security, increase
productivity, efficiency, and availability. In this regard, numerous diagnosis methods have …

Objective Epilepsy causes measurable irregularity over a range of brain signal frequencies,
as well as autonomic nervous system functions that modulate heart and respiratory rate …

This second part of a two-part article on the stability of the jet wi** process focuses on the
interaction between the im**ing gas jet and the coating liquid film. Using a simplified …

Time-frequency analysis (TFA) is an effective tool to identify the signal frequency
components and to reveal their time variant features. In this paper, a new instantaneous …

Stock market prediction is highly volatile and extremely difficult to model the trends using
traditional statistical techniques. Therefore, an intelligent technique is required for stock …

The selection of most suitable mother wavelet function is still an open research problem in
various signal and image processing applications. This paper presents a comparative study …

To protect our receivers against spoofing, intrusion or simply reduce interference, we
proposed a multi-layered architecture which can be integrated into a receiver chain by …

Electrocardiogram (ECG) signal monitoring is crucial in the operating room. During surgery,
when using an electrosurgical unit (ESU), the ECG signal is corrupted by strong interference …