MIMO Radar Adaptive Waveform Design for Extended Target Recognition by Lulu Wang, Kai-Kit Wong, Hongqiang Wang, Yuliang Qin

“…Two information-theoretic waveform design strategies, namely, the optimal waveform for maximizing the mutual information (MI) between the extended target impulse response and the target echoes and the optimal waveform for maximizing the Kullback-Leibler (KL) divergence (or relative entropy), are applied in the multitarget recognition application. …”
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Characterizations of Physico-chemical properties for non-kekulean benzenoid hydrocarbon using m-polynomial by Muhammad Kamran, Aamir Khan, Zeeshan Anwar, Aiman Ishtiaq, Anns Uzair, Shanzay Khan, Sawaira Saeed, Sajid Ali, Saara Fatima, Ajwa Faisal, Baqir Hussain, Misbah Rasheed, Saba Mehmood

“…In particular, we found these calculations to be helpful in examining the thermodynamic parameter entropy, which could be important for successfully reworking the structure of non-kekulean benzoid hydrocarbons.…”
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Temperature and composition dependence of viscosity, refractive index and thermodynamics of viscous flow for benzonitrile + methyl/ethyl/butyl methacrylate binary systems: Experime... by Anil Kumar Nain, Preeti Droliya

“…Additionally, the thermodynamic parameters, Arrhenius activation energy and Gibbs free energy, enthalpy and entropy of activation of viscous flow have also been calculated and analyzed to describe the thermodynamics of viscous behaviour of these systems. …”
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Experimental Study on Mechanism of Graphene Oxide-Modified Coral Sand Cement Mortar to Resist Sulfate Erosion by Bin Chen, Jianlin Zhang, Yanlin Zhao, Yiwei Lu

“…There were more orderly pore arrangement with less morphological complexity, when the dissolution amount of Ca(OH)2, porosity, total pore area, pore number, probability entropy, average form factor, and fractal dimension decreased. …”
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Pandemic mitigation: Bringing it home by Tom Reichert

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Analysis of Aging and Degradation in Lithium Batteries Using Distribution of Relaxation Time by Muhammad Sohaib, Abdul Shakoor Akram, Woojin Choi

“…The advantages of employing Tikhonov Regularization (TR) with Gaussian functions over Maximum Entropy (ME) and FFT methods are highlighted as this approach provides superior noise resilience, unbiased analysis, and enhanced resolution of critical features. …”
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Bonding Durability Evaluation of Polymer-Modified Emulsified Asphalt Microsurfacing by Hao Fu, Qian Chen, Xiaolong Sun, Wenwu Zhang, Shanshan Wang

“…Taking the wear resistance and pull-off properties after aging treatment and the change rate of various properties before and after treatment as evaluation indexes, the bonding durability of the microsurfacing was comprehensively evaluated by the ideal point method of entropy weight. The results show that the water damage resistance, abrasion resistance, and deformation resistance of the microsurfacing have a high correlation with the mechanical strength and adhesion performance of the modified emulsified asphalt binder. …”
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Interpreting convolutional neural networks' low-dimensional approximation to quantum spin systems by Yilong Ju, Shah Saad Alam, Jonathan Minoff, Fabio Anselmi, Han Pu, Ankit Patel

“…We connect CNNs to a class of restricted maximum entropy (MaxEnt) and entangled plaquette correlator product state (EP-CPS) models that approximate symmetry constrained classical correlations between subsystems. …”
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Impact of Digital Inclusive Finance on Rural High-Quality Development: Evidence from China by Le Sun, Congmou Zhu

“…For this purpose, we assembled the provincial panel data from 2009 to 2018 and constructed an index system of rural high-quality development and then calculated its index using the entropy weight method. FE regression model and RE regression model were employed for empirical analysis, and we constructed a nonlinear regression model to investigate the nonlinear relationship as well. …”
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Phase Transitions and Magnetocaloric Properties in MnCo1−xZrxGe Compounds by Anil Aryal, Abdiel Quetz, Sudip Pandey, Igor Dubenko, Shane Stadler, Naushad Ali

“…The MST from the paramagnetic to ferromagnetic state results in magnetic entropy changes (-ΔSM) of 7.2 J/kgK for ΔH = 5 T at 274 K for x = 0.02. …”
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Thermodynamic analysis of water vapor adsorption onto freeze-dried ora-pro-nobis (Pereskia aculeata Miller) mucilage by Bruna de Souza Nascimento, Giovanni Aleixo Batista, Vinicius Tessinari Pravato, Gabriel Pedroso de Lima Alexandre, Lizzy Ayra Alcântara Veríssimo, Jaime Vilela de Resende

“…This study aimed to determine the thermodynamic properties of water vapor adsorption onto freeze-dried ora-pro-nobis mucilage (OPNM) and to interpret the mechanisms that govern water adsorption onto powder particles through the study of enthalpy-entropy compensation. In addition, OPNM was characterized in terms of moisture, ash, ether extract, protein, fiber and carbohydrates beyond the functional chemical groups by Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM). …”
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Analysis of the Spatial Characteristics and Influencing Factors of e-Commerce Industrial Chains from the Perspective of Embeddedness: Taking Xiong’an New Area in China as an Exampl... by Yifan Gu, Jianghui Ding

“…Based on the embeddedness theory, this paper takes the e-commerce industrial chain in Xiong’an New Area of China as an example, uses location entropy method and local spatial autocorrelation to analyze its spatial characteristics and influencing factors, and also discusses the features of embeddedness from each dimension of industrial chains. …”
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Primary scalar hair in Gauss–Bonnet black holes with Thurston horizons by Luis Guajardo, Julio Oliva

“…Employing the Regge–Teitelboim approach, we compute the mass and entropy of these solutions, both of which vanish. …”
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Combined Failure Diagnosis of Slewing Bearings Based on MCKD-CEEMD-ApEn by Fengtao Wang, Chenxi Liu, Wensheng Su, Zhigang Xue, Qingkai Han, Hongkun Li

“…Appropriate IMFs were selected based on the correlation coefficient and kurtosis. The approximate entropy values of the selected IMFs were regarded as the characteristic vectors and then inputted into the support vector machine (SVM) based on multiclass classification for training. …”
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Emotional recognition of EEG signals utilizing residual structure fusion in bi-directional LSTM by Yue Xu, Yunyuan Gao, Zhengnan Zhang, Shunlan Du

“…Firstly, differential entropy features were extracted from EEG data during both resting and active states. …”
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Optimizing D2D Communication With Practical STAR-RIS and Irregular Configurations by Jung-Chieh Chen, Ting-Han Hsu

“…To optimize this system, a unified cross-entropy optimization (CEO) framework is developed for joint optimization of element selection (for irregular configurations) and the continuous amplitudes for transmission and reflection, along with the discrete phase shifts. …”
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Load frequency control in isolated island city microgrids using deep graph reinforcement learning considering extensive scenarios by Ping He, Xiongwei Huang, Ruobing He, Linkun Yuan

“…By incorporating a maximum entropy approach, it enhances the robustness of conventional deep reinforcement learning and integrates dominance learning to refine Soft Actor-Critic’s Q-value function update, mitigating overestimation issues and boosting algorithmic performance. …”
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Research and Software Design of an Φ-OTDR-Based Optical Fiber Vibration Recognition Algorithm by Bernard Marie Tabi Fouda, Dezhi Han, Bowen An, Xiangzhi Chen

“…The combination of time-domain features and time-frequency-domain features is called TFC; and it is based on the Hilbert transform and on the empirical mode decomposition (EMD) of time-frequency entropy and center-of-gravity frequency that is described. …”
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Design and Implementation of Multiple Ring Oscillator-Based TRNG Architecture by Using ADPLL by Huirem Bharat Meitei, Manoj Kumar

“…Ring oscillators are the entropy sources for the proposed MURO-TRNG architecture, and they are constructed by ADPLL with different frequencies. …”
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Toward Enhancing the Energy Efficiency and Minimizing the SLA Violations in Cloud Data Centers by E. I. Elsedimy, Fahad Algarni

“…The proposed VMPMOPSO utilizes the crowding entropy method to optimize the VMP and to improve the diversity among the obtained solutions as well as accelerate the convergence speed toward the optimal solution. …”
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