Classification of Actigraphy Records from Bipolar Disorder Patients Using Slope Entropy: A Feasibility Study [PDF]
Entropy, 2020 Bipolar Disorder (BD) is an illness with high prevalence and a huge social and economic impact. It is recurrent, with a long-term evolution in most cases. Early treatment and continuous monitoring have proven to be very effective in mitigating the causes
David Cuesta-Frau +5 more
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Slope Entropy Characterisation: The Role of the δ Parameter [PDF]
Entropy, 2022 Many time series entropy calculation methods have been proposed in the last few years. They are mainly used as numerical features for signal classification in any scientific field where data series are involved.
Mahdy Kouka, David Cuesta-Frau
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Maximum-Entropy Method for Evaluating the Slope Stability of Earth Dams [PDF]
Entropy, 2012 The slope stability is a very important problem in geotechnical engineering. This paper presents an approach for slope reliability analysis based on the maximum-entropy method.
Shuai Wang, Wei Wang, Chuanqi Li
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Double Feature Extraction Method of Ship-Radiated Noise Signal Based on Slope Entropy and Permutation Entropy [PDF]
Entropy, 2021 In order to accurately identify various types of ships and develop coastal defenses, a single feature extraction method based on slope entropy (SlEn) and a double feature extraction method based on SlEn combined with permutation entropy (SlEn&PE) are ...
Yuxing Li +4 more
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Slope Entropy Normalisation by Means of Analytical and Heuristic Reference Values [PDF]
Entropy, 2022 Slope Entropy (SlpEn) is a very recently proposed entropy calculation method. It is based on the differences between consecutive values in a time series and two new input thresholds to assign a symbol to each resulting difference interval.
David Cuesta-Frau +3 more
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Optimized Ship-Radiated Noise Feature Extraction Approaches Based on CEEMDAN and Slope Entropy [PDF]
Entropy, 2022 Slope entropy (Slopen) has been demonstrated to be an excellent approach to extracting ship-radiated noise signals (S-NSs) features by analyzing the complexity of the signals; however, its recognition ability is limited because it extracts the features ...
Yuxing Li, Bingzhao Tang, Shangbin Jiao
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Slope Entropy Characterisation: Adding Another Interval Parameter to the Original Method
Engineering Proceedings, 2023 Slope Entropy (SlpEn) is a recently proposed time series entropy estimation method for classification. This method has yielded better results than other similar methods in all the published studies so far.
Mahdy Kouka, David Cuesta-Frau
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Fractal and Fractional, 2022 Slope entropy (SlEn) is a time series complexity indicator proposed in recent years, which has shown excellent performance in the fields of medical and hydroacoustics.
Yuxing Li, Lingxia Mu, Peiyuan Gao
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Influence of the channel bed slope on Shannon, Tsallis, and Renyi entropy parameters
Journal of Hydroinformatics, 2023 Velocity distribution plays a fundamental role in understanding the hydrodynamics of open-channel flow. Among a multitude of approaches, the entropy-based approach holds great promise in achieving a reasonable characterisation of the velocity ...
Gurpinder Singh +4 more
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Enhancing Classification Results of Slope Entropy Using Downsampling Schemes
AxiomsEntropy calculation provides meaningful insight into the dynamics and complexity of temporal signals, playing a crucial role in classification tasks. These measures are able to describe intrinsic characteristics of temporal series, such as regularity ...
Vicent Moltó-Gallego +2 more
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