Pub Date : 2023-04-18DOI: 10.1142/s0219477523500384
Mohammad Mohammadi, W. Lindquist
{"title":"A paradox in the theory of prediction","authors":"Mohammad Mohammadi, W. Lindquist","doi":"10.1142/s0219477523500384","DOIUrl":"https://doi.org/10.1142/s0219477523500384","url":null,"abstract":"","PeriodicalId":55155,"journal":{"name":"Fluctuation and Noise Letters","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47709519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-18DOI: 10.1142/s0219477523500396
S. Hanis, Narayanan S Abinav, Viswanath P Abishek, V. Bhooshan
{"title":"Satellite and aerial image restoration using deep reinforcement learning","authors":"S. Hanis, Narayanan S Abinav, Viswanath P Abishek, V. Bhooshan","doi":"10.1142/s0219477523500396","DOIUrl":"https://doi.org/10.1142/s0219477523500396","url":null,"abstract":"","PeriodicalId":55155,"journal":{"name":"Fluctuation and Noise Letters","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"64483219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1142/s0219477523500359
Chenhua Shen
{"title":"Improved cross-correlation coefficient: quantifying the cross-correlation level between fluctuant amplitude ranges in two non-stationary time series","authors":"Chenhua Shen","doi":"10.1142/s0219477523500359","DOIUrl":"https://doi.org/10.1142/s0219477523500359","url":null,"abstract":"","PeriodicalId":55155,"journal":{"name":"Fluctuation and Noise Letters","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44569591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1142/s0219477523500360
F. Chapeau-Blondeau
{"title":"Indefinite causal order for quantum phase estimation with Pauli noise","authors":"F. Chapeau-Blondeau","doi":"10.1142/s0219477523500360","DOIUrl":"https://doi.org/10.1142/s0219477523500360","url":null,"abstract":"","PeriodicalId":55155,"journal":{"name":"Fluctuation and Noise Letters","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45302735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31DOI: 10.1142/s0219477523500335
Divya Sasidharan, V. Gopinath, R. Swaminathan
{"title":"A Proposal to Analyze Muscle Dynamics Under Fatiguing Contractions Using surface Electromyography Signals and Fuzzy Recurrence Network Features","authors":"Divya Sasidharan, V. Gopinath, R. Swaminathan","doi":"10.1142/s0219477523500335","DOIUrl":"https://doi.org/10.1142/s0219477523500335","url":null,"abstract":"","PeriodicalId":55155,"journal":{"name":"Fluctuation and Noise Letters","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48968380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31DOI: 10.1142/s0219477523500323
Bálint Lendvai, T. Benedek, E. Balla
{"title":"Aeroacoustic Investigation of Airfoil Profiles in Turbulence at Moderate Reynolds Numbers involving the Phased Array Microphone Technique and the Anova Statistical Method","authors":"Bálint Lendvai, T. Benedek, E. Balla","doi":"10.1142/s0219477523500323","DOIUrl":"https://doi.org/10.1142/s0219477523500323","url":null,"abstract":"","PeriodicalId":55155,"journal":{"name":"Fluctuation and Noise Letters","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45798556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31DOI: 10.1142/s0219477523500347
M. Vimal Raj, S. Sakthivel Murugan
{"title":"Veracious Interpolated Measure of Angle and Length for Underwater Motion Blurred Images","authors":"M. Vimal Raj, S. Sakthivel Murugan","doi":"10.1142/s0219477523500347","DOIUrl":"https://doi.org/10.1142/s0219477523500347","url":null,"abstract":"","PeriodicalId":55155,"journal":{"name":"Fluctuation and Noise Letters","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41270099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-30DOI: 10.1142/s0219477523400060
Caifeng Wang, Yukun Yang, Linlin Xu, Alexander Wong
Financial time series are nonlinear, volatile and chaotic. Inspired by quantum computing, this paper proposed a new model, called primary ensemble empirical mode decomposition combined with quantum neural network (PEEMD-QNN) in predicting the stock index. PEEMD-QNN takes the advantages of the PEEMD which retains the main component of modal component and QNN. To demonstrate that our PEEMD-QNN model is robust, we used the new model to predict six major stock index time series in China at a specific time. Detailed experiments are implemented for both of the proposed prediction models, in which empirical mode decomposition combined with QNN (EMD-QNN), QNN and BP neural network are compared. The results demonstrate that the proposed PEEMD-QNN model has higher accuracy than BP neural network, QNN model and EMD-QNN model in stock market prediction.
{"title":"A Hybrid Model of Primary Ensemble Empirical Mode Decomposition and Quantum Neural Network in Financial Time Series Prediction","authors":"Caifeng Wang, Yukun Yang, Linlin Xu, Alexander Wong","doi":"10.1142/s0219477523400060","DOIUrl":"https://doi.org/10.1142/s0219477523400060","url":null,"abstract":"Financial time series are nonlinear, volatile and chaotic. Inspired by quantum computing, this paper proposed a new model, called primary ensemble empirical mode decomposition combined with quantum neural network (PEEMD-QNN) in predicting the stock index. PEEMD-QNN takes the advantages of the PEEMD which retains the main component of modal component and QNN. To demonstrate that our PEEMD-QNN model is robust, we used the new model to predict six major stock index time series in China at a specific time. Detailed experiments are implemented for both of the proposed prediction models, in which empirical mode decomposition combined with QNN (EMD-QNN), QNN and BP neural network are compared. The results demonstrate that the proposed PEEMD-QNN model has higher accuracy than BP neural network, QNN model and EMD-QNN model in stock market prediction.","PeriodicalId":55155,"journal":{"name":"Fluctuation and Noise Letters","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48856327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The price-volume dependences in the European and Chinese carbon markets: New evidence from the fractal analysis","authors":"Pengfei Zhu, Yung-nian Wei, Tuantuan Lu, Yong Tang, Chenyu Zhang","doi":"10.1142/s0219477523500311","DOIUrl":"https://doi.org/10.1142/s0219477523500311","url":null,"abstract":"","PeriodicalId":55155,"journal":{"name":"Fluctuation and Noise Letters","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47634694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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