A Fisher Information Theory of Aesthetic Preference for Complexity by Sébastien Berquet, Hassan Aleem, Norberto M. Grzywacz

“…Here, we develop this model by first obtaining the distributions of three indices of complexity measured as normalized Shannon Entropy in real-world images from seven environments. …”
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Application of RSSD-OCYCBD Strategy in Enhanced Fault Detection of Rolling Bearing by Xiaolong Wang, Guiji Tang, Yuling He

“…In addition, a new morphological difference operation entropy (MDOE) indicator, which takes advantage of morphological transformation and Shannon entropy, is developed for confirming the influencing parameters of cyclostationary blind deconvolution (CYCBD). …”
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Content Analysis of the First Secondary School PersianTextbooks on the Basis of Paying Attention to Components of the Cultural Capital by M. Herfati Sobhani Leylabadi, M. Piri

“…Frequency measurement method and Shannon entropy were used for data analysis. The findings study showed that the institutionalized component has the least degree of attention. …”
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Bayesian and non-Bayesian estimation of some entropy measures for a Weibull distribution by Amal S. Hassan, Najwan Alsadat, Oluwafemi Samson Balogun, Baria A. Helmy

“…This study considered the estimation of Shannon entropy, $ \zeta $-entropy, Arimoto entropy, and Havrda and Charvat entropy measures for the Weibull distribution. …”
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An investigation into the educational implications of Sponge Bob Animation from the perspective of the negating and requirement of the six areas of education by Z. Tasviri, Z. Athari

“…The formal validity of the categories related to the six domains was confirmed by experts. 772 using the Scott coefficient and the opinions of 4 experts in this field; Finally, Shannon entropy method was used to analyze the data obtained from the study. …”
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Diagnosis of faults using a new VMD-WMRA approach, optimized by a new criterion: Industrial application by Ammar Mrabti, Nouredine Ouelaa, Ramdane Younes, Mohamed Cherif Djamaa, Zakarya Ouelaa

“…The criterion is based on calculating the variation of normalized Shannon entropy ( Δ NSE ) between two successive IMFs, enabling the optimization of the number of processed IMFs. …”
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CORRELATIONS OF URBAN SPRAWL WITH TRANSPORT PATTERNS AND SOCIOECONOMICS OF UNIVERSITY STUDENTS IN CRACOW, POLAND by Melika MEHRIAR, Houshmand MASOUMI, Katarzyna NOSAL-HOY

“…Furthermore, urban sprawl around the home and the university for each student who indicated the nearest intersection to their home and university were separately estimated by employing the Shannon entropy. Based on the findings, urban sprawl around homes was correlated with 14 transport patterns and socioeconomic features such as gender, age, driving license, financial dependency status, gross monthly income, number of commute trips, mode of transportation for commuting, number of trips for shopping or entertainment, daily shopping area, mode choice for shopping and entertainment trips inside and outside the neighbourhoods, frequency of public transport use, the attractiveness of shops inside the neighbourhoods, and the length of time living in the current home. …”
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The Role of “Everyday Landscape” in the Quality of Urban Spaces, Case Study: Girls’ Dormitory Route in Shahid Beheshti University, Tehran by Seyed-Hassan Taghvaei, Saeid Norouzian-Maleki, Shayesteh Ali-doost

“…The data from the field survey was then analyzed using the Shannon entropy method. Besides revealing some of the important elements of everyday landscape and their cognition, findings show that qualitative variables of legibility, complexity, coherence, and mystery are the priorities of participants, respectively. …”
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Prioritizing implementation solutions for the urban family physician policy in Iran: a multi-criteria decision-making study by Lida Shams, Mohammadreza Mobinizadeh, Taha Nasiri, Fatemeh Mohammadi

“…In the second stage, the extracted executive solutions were ranked using multi-criteria decision-making (MADM) and a hybrid approach combining Shannon entropy with simple aggregation weighting (SAW). …”
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Diagnosing and Predicting the Earth’s Health via Ecological Network Analysis by Zi-Ke Zhang, Ye Sun, Chu-Xu Zhang, Kuan Fang, Xiang Xu, Chuang Liu, Xueqi Wang, Kui Zhang

“…We firstly empirically analyze both the topological properties and time-dependent features of nodes and propose an Earth’s health index based on Shannon Entropy. Secondly, we identify the importance of each element by a machine learning approach. …”
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Metastable Oscillatory Modes as a Signature of Entropy Management in the Brain by Marta Xavier, Patrícia Figueiredo, Gustavo Deco, Andrea I. Luppi, Joana Cabral

“…In this short communication, we demonstrate how the emergence of Metastable Oscillatory Modes (MOMs) is directly associated with a temporary reduction in entropy in the ongoing dynamics. We apply Shannon entropy to the distribution of eigenvalues of phase covariance over sliding time windows, capturing the temporal evolution of entropy at the level of the entire dynamical system. …”
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Improved empirical wavelet transform combined with particle swarm optimization-support vector machine for EEG-based depression recognition by Yongxin Wang, Longqi Xu, Hongxu Qian, Haijun Lin, Xuhui Zhang

“…From these decompositions, we effectively extract six depression-related EEG features: frequency band power, frequency band power ratio, Shannon entropy, permutation entropy, LZ complexity, and variance. …”
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Adaptive Control Parameter Optimization of Permanent Magnet Synchronous Motors Based on Super-Helical Sliding Mode Control by Lingtao Kong, Hongxin Zhang, Tiezhu Zhang, Junyi Wang, Chaohui Yang, Zhen Zhang

“…A Partial Sample Shannon Entropy Evaluation method, leveraging entropy theory in conjunction with the Z-score method, is introduced to facilitate the feedback regulation of the optimization process by assessing motor output torque. …”
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Optimal feature selection for a weighted k-nearest neighbors for compound fault classification in wind turbine gearbox by Samuel M. Gbashi, Paul A. Adedeji, Obafemi O. Olatunji, Nkosinathi Madushele

“…The most discriminative features—including the mean, mean frequency, standard deviation frequency, maximum frequency, and Shannon entropy—were selected from the feature space using the proposed strategy. …”
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Improved Continuous Wavelet Transform for Modal Parameter Identification of Long-Span Bridges by Mingjin Zhang, Xu Huang, Yongle Li, Hao Sun, Jingyu Zhang, Bin Huang

“…To find the appropriate time-frequency resolution, an optimal wavelet basis design principle based on minimum Shannon entropy was proposed. Aiming at endpoint effect in wavelet transform, a prediction continuation method based on support vector machine (SVM) was proposed, which can effectively suppress the endpoint effect of the extended samples. …”
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Investigating critical thinking skills in Arabic textbooks exercises of junior high schools based on Lipman's Theory by Fatemeh Irandoost, Maryam Jalaei, Abbas Zare-ee Tajareh

“…The methodology applied in this research is descriptive as well as content analysis methodology and Shannon entropy weighting method has been used in order to determine the importance coefficient of the studied components. …”
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Exploring the Effectiveness of Machine Learning and Deep Learning Techniques for EEG Signal Classification in Neurological Disorders by Souhaila Khalfallah, William Puech, Mehdi Tlija, Kais Bouallegue

“…Furthermore, the data is segmented, allowing the extraction of key features such as Bandpower and Shannon entropy, which improve classification accuracy. …”
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Performance Optimization of Endoreversible Simple MCBC Coupled to Variable-temperature Reservoirs Based on NSGA-Ⅱ Algorithm by Chenqi TANG, Lingen CHEN, Wenhua WANG, Huijun FENG, Shaojun XIA

“…It is found that compared with the results obtained by single-objective optimization, the optimal solutions corresponding to multi-objective optimization have smaller deviation indexes, and the deviation index is the smallest through Shannon entropy making. The sensitivity analyses show that the effects of the optimization variables changing within the range from -10% to 10% on the optimal dimensionless power output, the optimal thermal efficiency, the optimal dimensionless ecological function and its corresponding isothermal pressure drop ratio are very small, and the ranges do not exceed 5%.…”
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Data-Driven Bearing Fault Diagnosis of Microgrid Network Power Device Based on a Stacked Denoising Autoencoder in Deep Learning and Clustering by Fast Search without Data Labels by Fan Xu, Xin Shu, Xin Li, Xiaodi Zhang

“…The root mean square (RMS), kurtosis, Shannon entropy (SHE), approximate entropy (AE), permutation entropy (PE), and principal component analysis (PCA) are also used to construct the HI. …”
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THE PERFORMANCE OF BIVARIATE STATISTICAL MODELS IN LANDSLIDE SUSCEPTIBILITY MAPPING (CASE STUDY: CISANGKUY SUB-WATERSHED, BANDUNG, INDONESIA) by Sukristiyanti Sukristiyanti, Pamela Pamela, Sitarani Safitri, Ahmad Luthfi Hadiyanto, Adrin Tohari, Imam Achmad Sadisun

“…This research conducted a comparative study of four LSM maps, namely frequency ratio (FR), information value model (IVM), weight of evidence (WoE), and Shannon entropy (SE), for the Cisangkuy Sub-watershed, West Java. …”
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