A new hybrid intelligent system for accurate detection of Parkinson's disease

M Hariharan, K Polat, R Sindhu - Computer methods and programs in …, 2014 - Elsevier
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 …

Maximum power point analysis for partial shading detection and identification in photovoltaic systems

S Fadhel, D Diallo, C Delpha, A Migan, I Bahri… - Energy Conversion and …, 2020 - Elsevier
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 …

Double random phase encryption scheme to multiplex and simultaneous encode multiple images

A Alfalou, A Mansour - Applied optics, 2009 - opg.optica.org
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 …

[HTML][HTML] Spectral entropy indicates electrophysiological and hemodynamic changes in drug-resistant epilepsy–A multimodal MREG study

H Helakari, J Kananen, N Huotari, L Raitamaa… - NeuroImage: Clinical, 2019 - Elsevier
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 …

Experimental analysis of the stability of the jet wiping process, part II: Multiscale modal analysis of the gas jet-liquid film interaction

MA Mendez, A Gosset, JM Buchlin - Experimental Thermal and Fluid …, 2019 - Elsevier
This second part of a two-part article on the stability of the jet wiping process focuses on the
interaction between the impinging gas jet and the coating liquid film. Using a simplified …

Instantaneous frequency estimation for nonlinear FM signal based on modified polynomial chirplet transform

X Tu, Y Hu, F Li, S Abbas, Y Liu - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
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 predictive model based on integration of signal processing and artificial neural network

DK Sharma, AR Rababaah - Journal of Management …, 2014 - search.proquest.com
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 …

A comparative study of wavelet families for classification of wrist motions

M Hariharan, CY Fook, R Sindhu, B Ilias… - Computers & Electrical …, 2012 - Elsevier
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 …

Blind separation of ECG signals from noisy signals affected by electrosurgical artifacts

K Bensafia, A Mansour, AO Boudraa, S Haddab… - … Integrated Circuits and …, 2020 - Springer
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 …

Spectral calibration of radiometric detectors using tunable laser sources

M Schuster, S Nevas, A Sperling, S Völker - Applied optics, 2012 - opg.optica.org
This paper describes the analysis of laser-based responsivity measurements using the
Tunable Lasers in Photometry setup at the Physikalisch-Technische Bundesanstalt. An …