Results 171 to 180 of about 618 (183)

EEG based emotion recognition system using MFDFA as feature extractor

2015 International Conference on Robotics, Automation, Control and Embedded Systems (RACE), 2015
Emotion is a complex set of interactions among subjective and objective factors governed by neural/hormonal systems resulting in the arousal of feelings and generate cognitive processes, activate physiological changes such as behavior. Emotion recognition can be correctly done by EEG signals.
Sananda Paul, Ankita Mazumder, Poulami Ghosh, D.N. Tibarewala, G. Vimalarani   +4 more
openaire   +1 more source

Nonlinear time series analysis of vibration data from a friction brake: SSA, PCA, and MFDFA [PDF]

Chaos, Solitons and Fractals, 2014
Abstract We use the methodology of singular spectrum analysis (SSA), principal component analysis (PCA), and multi-fractal detrended fluctuation analysis (MFDFA), for investigating characteristics of vibration time series data from a friction brake. SSA and PCA are used to study the long time-scale characteristics of the time series. MFDFA is applied
Nikolay Vitanov, Norbert Hoffmann
exaly   +4 more sources

A study on daily PM2.5 concentrations in Hong Kong using the EMD-based MFDFA method

Physica A: Statistical Mechanics and its Applications, 2019
Abstract The daily average PM2.5 concentrations of Mong Kok (MK), Tsuen Wan (TW) and Tap Mun (TM) in Hong Kong were obtained from Hong Kong Environmental Protection Department and were analyzed. Without any spatial differentiation, PM2.5 concentrations all were higher in winter and lower in summer. In order to more accurately explore the multifractal
Chen Zhang, Xiaofeng Wang, Shengbing Chen, Le Zou, Xin Zhang, Chao Tang   +5 more
openaire   +1 more source

Fluctuation Dynamics of Radon in Groundwater Prior to the Gansu Earthquake, China (22 July 2013: Ms = 6.6): Investigation with DFA and MFDFA Methods

Pure and Applied Geophysics, 2021
The present study reports measurements of radon in groundwater conducted in China between January and December 2013. During the measurement period, a great Ms = 6.6 earthquake occurred in Gansu Province, China. The paper analyses data derived from three nearby stations via monofractal and multifractal detrended fluctuations analysis and explores ...
Aftab Alam, Nanping Wang, Ermioni Petraki, Adnan Barkat, Fuqiong Huang, Muhammad Ali Shah, Demetrios Cantzos, Georgios Priniotakis, Panayiotis H. Yannakopoulos, Michail Papoutsidakis, Dimitrios Nikolopoulos   +10 more
openaire   +1 more source

Testing the Fractal Market Hypothesis Using MFDFA Across Multiple Asset Classes

Computational Economics
Osman Tugay, Faruk Temel
exaly   +2 more sources

Denoising of Carbon Steel Corrosion Monitoring Signal Based on NLM-VMD with MFDFA Technique

2019
In order to recover effective information of steel atmospheric corrosion from corrosion monitoring signal, an adaptive denoising algorithm based on NLM-VMD with MFDFA technique has been processed in this paper. To eliminate the influence of outliers in the signal, NLM was used for signal preprocessing. The preprocessed signal was decomposed by VMD into
Zhuolin Li, Dongmei Fu, Ying Li, Zibo Pei, Qiong Yao, Jinbin Zhao   +5 more
openaire   +1 more source

Integrating MFDFA with hybrid deep learning for enhanced daily precipitation-runoff prediction in the Minjiang River Basin

Journal of Hydroinformatics
ABSTRACT Precipitation-induced runoff prediction is critical for water resource management and water security risk assessment. This study addresses the issue of existing deep learning models’ insufficient ability to capture multiscale variations in precipitation-runoff time series, aiming to improve the accuracy of daily runoff ...
Hai Zeng, Yunxia Xie, Tianming Xiang, Hong Chen   +3 more
exaly   +2 more sources

Characterization of carbonate platform bathymetry off western India employing multifractal detrended fluctuation analysis (MFDFA)

OCEANS 2022 - Chennai, 2022
Vasudev P. Mahale, Bishwajit Chakraborty, V. Purnachandra Rao, Tejas Salkar   +3 more
openaire   +1 more source

Analysis of Arc Faults and Utility Disturbances in a Multiple Photovoltaic-Based DC Ring Microgrid by Using Improved MFDFA

Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 2023
Kanche Anjaiah, P. K. Dash, M. Sahani
openaire   +1 more source

A Method to Differentiate Degree of Volcanic Reservoir Fracture Development Using Conventional Well Logging Data—An Application of Kernel Principal Component Analysis (KPCA) and Multifractal Detrended Fluctuation Analysis (MFDFA)

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014
Xinmin Ge, Yiren Fan
exaly