IF 2.1 3区物理与天体物理

Entropy Pub Date : 2025-06-16 DOI: 10.3390/e27060642

Marcelo S Alencar

引用次数: 0

Information Theory Meets Quantum Chemistry: A Review and Perspective. 信息论与量子化学：回顾与展望。

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2025-06-16 DOI: 10.3390/e27060644

Yilin Zhao, Dongbo Zhao, Chunying Rong, Shubin Liu, Paul W Ayers

引用次数: 0

Brown and Levy Steady-State Motions. 布朗和利维稳态运动。

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2025-06-16 DOI: 10.3390/e27060643

Iddo Eliazar

引用次数: 0

Analysis and Research on Spectrogram-Based Emotional Speech Signal Augmentation Algorithm. 基于谱图的情绪语音信号增强算法分析与研究。

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2025-06-15 DOI: 10.3390/e27060640

Huawei Tao, Sixian Li, Xuemei Wang, Binkun Liu, Shuailong Zheng

{"title":"Analysis and Research on Spectrogram-Based Emotional Speech Signal Augmentation Algorithm.","authors":"Huawei Tao, Sixian Li, Xuemei Wang, Binkun Liu, Shuailong Zheng","doi":"10.3390/e27060640","DOIUrl":"10.3390/e27060640","url":null,"abstract":"Data augmentation techniques are widely applied in speech emotion recognition to increase the diversity of data and enhance the performance of models. However, existing research has not deeply explored the impact of these data augmentation techniques on emotional data. Inappropriate augmentation algorithms may distort emotional labels, thereby reducing the performance of models. To address this issue, in this paper we systematically evaluate the influence of common data augmentation algorithms on emotion recognition from three dimensions: (1) we design subjective auditory experiments to intuitively demonstrate the impact of augmentation algorithms on the emotional expression of speech; (2) we jointly extract multi-dimensional features from spectrograms based on the Librosa library and analyze the impact of data augmentation algorithms on the spectral features of speech signals through heatmap visualization; and (3) we objectively evaluate the recognition performance of the model by means of indicators such as cross-entropy loss and introduce statistical significance analysis to verify the effectiveness of the augmentation algorithms. The experimental results show that \"time stretching\" may distort speech features, affect the attribution of emotional labels, and significantly reduce the model's accuracy. In contrast, \"reverberation\" (RIR) and \"resampling\" within a limited range have the least impact on emotional data, enhancing the diversity of samples. Moreover, their combination can increase accuracy by up to 7.1%, providing a basis for optimizing data augmentation strategies.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"27 6","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12191602/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144495247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reputation in the Iterated Prisoner's Dilemma: A Simple, Analytically Solvable Agents' Model. 迭代囚徒困境中的声誉：一个简单的、可解析解决的代理模型。

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2025-06-15 DOI: 10.3390/e27060639

Michał Cieśla

{"title":"Reputation in the Iterated Prisoner's Dilemma: A Simple, Analytically Solvable Agents' Model.","authors":"Michał Cieśla","doi":"10.3390/e27060639","DOIUrl":"10.3390/e27060639","url":null,"abstract":"This study introduces a simple model, which can be used to examine the influence of reputation on expected income achieved within the Iterated Prisoner's Dilemma (IPD) game framework. The research explores how different reputation distributions among society members impact overall outcomes by modeling a society of agents, each characterized by a reputation score that dictates their likelihood of cooperation. Due to the simplicity of the model, we can analytically determine the expected incomes based on the distribution of agents' reputations and model parameters. The results show that a higher reputation generally leads to greater expected income, thereby promoting cooperation over defection. However, in some cases, where there are more defecting individuals, the expected income reaches the maximum for agents with an average reputation, and then decreases for individuals who cooperate more. Various scenarios, including uniform, increasing, and decreasing reputation distributions, are analyzed to understand their effects on the promoted interaction strategy. Finally, we outline future extensions of the model and potential research directions, including the exploration of alternative reputation distributions, variable interaction parameters, and different payoff structures in the dilemma games.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"27 6","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12192003/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144495348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fisher Information and the Dynamics of Multicellular Ageing. Fisher信息与多细胞老化动力学。

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2025-06-15 DOI: 10.3390/e27060638

Zachary F Hale, Gonzalo A Cánez, Thomas C T Michaels

引用次数: 0

Efficient Learning-Based Robotic Navigation Using Feature-Based RGB-D Pose Estimation and Topological Maps. 基于特征的RGB-D姿态估计和拓扑地图的高效学习机器人导航。

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2025-06-15 DOI: 10.3390/e27060641

Eder A Rodríguez-Martínez, Jesús Elías Miranda-Vega, Farouk Achakir, Oleg Sergiyenko, Julio C Rodríguez-Quiñonez, Daniel Hernández Balbuena, Wendy Flores-Fuentes

{"title":"Efficient Learning-Based Robotic Navigation Using Feature-Based RGB-D Pose Estimation and Topological Maps.","authors":"Eder A Rodríguez-Martínez, Jesús Elías Miranda-Vega, Farouk Achakir, Oleg Sergiyenko, Julio C Rodríguez-Quiñonez, Daniel Hernández Balbuena, Wendy Flores-Fuentes","doi":"10.3390/e27060641","DOIUrl":"10.3390/e27060641","url":null,"abstract":"Robust indoor robot navigation typically demands either costly sensors or extensive training data. We propose a cost-effective RGB-D navigation pipeline that couples feature-based relative pose estimation with a lightweight multi-layer-perceptron (MLP) policy. RGB-D keyframes extracted from human-driven traversals form nodes of a topological map; edges are added when visual similarity and geometric-kinematic constraints are jointly satisfied. During autonomy, LightGlue features and SVD give six-DoF relative pose to the active keyframe, and the MLP predicts one of four discrete actions. Low visual similarity or detected obstacles trigger graph editing and Dijkstra replanning in real time. Across eight tasks in four Habitat-Sim environments, the agent covered 190.44 m, replanning when required, and consistently stopped within 0.1 m of the goal while running on commodity hardware. An information-theoretic analysis over the Multi-Illumination dataset shows that LightGlue maximizes per-second information gain under lighting changes, motivating its selection. The modular design attains reliable navigation without metric SLAM or large-scale learning, and seamlessly accommodates future perception or policy upgrades.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"27 6","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12191688/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144495264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Information Geometry-Based Track-Before-Detect Algorithm for Range-Azimuth Measurements in Radar Systems. 一种基于信息几何的雷达距离-方位测量前跟踪算法。

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2025-06-14 DOI: 10.3390/e27060637

Jinguo Liu, Hao Wu, Zheng Yang, Xiaoqiang Hua, Yongqiang Cheng

{"title":"An Information Geometry-Based Track-Before-Detect Algorithm for Range-Azimuth Measurements in Radar Systems.","authors":"Jinguo Liu, Hao Wu, Zheng Yang, Xiaoqiang Hua, Yongqiang Cheng","doi":"10.3390/e27060637","DOIUrl":"10.3390/e27060637","url":null,"abstract":"The detection of weak moving targets in heterogeneous clutter backgrounds is a significant challenge in radar systems. In this paper, we propose a track-before-detect (TBD) method based on information geometry (IG) theory applied to range-azimuth measurements, which extends the IG detectors to multi-frame detection through inter-frame information integration. The approach capitalizes on the distinctive benefits of the information geometry detection framework in scenarios with strong clutter, while enhancing the integration of information across multiple frames within the TBD approach. Specifically, target and clutter trajectories in multi-frame range-azimuth measurements are modeled on the Hermitian positive definite (HPD) and power spectrum (PS) manifolds. A scoring function based on information geometry, which uses Kullback-Leibler (KL) divergence as a geometric metric, is then devised to assess these motion trajectories. Moreover, this study devises a solution framework employing dynamic programming (DP) with constraints on state transitions, culminating in an integrated merit function. This algorithm identifies target trajectories by maximizing the integrated merit function. Experimental validation using real-recorded sea clutter datasets showcases the effectiveness of the proposed algorithm, yielding a minimum 3 dB enhancement in signal-to-clutter ratio (SCR) compared to traditional approaches.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"27 6","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12191875/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144495246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling Stylized Facts in FX Markets with FINGAN-BiLSTM: A Deep Learning Approach to Financial Time Series. 用FINGAN-BiLSTM建模外汇市场的风格化事实：一种金融时间序列的深度学习方法。

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2025-06-14 DOI: 10.3390/e27060635

Dong-Jun Kim, Do-Hyeon Kim, Sun-Yong Choi

{"title":"Modeling Stylized Facts in FX Markets with FINGAN-BiLSTM: A Deep Learning Approach to Financial Time Series.","authors":"Dong-Jun Kim, Do-Hyeon Kim, Sun-Yong Choi","doi":"10.3390/e27060635","DOIUrl":"10.3390/e27060635","url":null,"abstract":"We propose the financial generative adversarial network-bidirectional long short-term memory (FINGAN-BiLSTM) model to accurately reproduce the complex statistical properties and stylized facts, namely, heavy-tailed behavior, volatility clustering, and leverage effects observed in the log returns of the foreign exchange (FX) market. The proposed model integrates a bidirectional LSTM (BiLSTM) into the conventional FINGAN framework so that the generator, discriminator, and predictor networks simultaneously incorporate both past and future information, thereby overcoming the information loss inherent in unidirectional LSTM architectures. Experimental results, assessed using metrics such as the Kolmogorov-Smirnov statistic, demonstrate that FINGAN-BiLSTM effectively mimics the distributional and dynamic patterns of actual FX data. In particular, the model significantly reduces the maximum cumulative distribution discrepancy in assets with high standard deviations and extreme values, such as the Canadian dollar (CAD) and the Mexican Peso (MXN), while precisely replicating dynamic features like volatility clustering and leverage effects, thereby outperforming conventional models. The findings suggest that the proposed deep learning-based forecasting model holds significant promise for practical applications in financial risk assessment, derivative pricing, and portfolio optimization, and they highlight the need for further research to enhance its generalization capabilities through the integration of exogenous economic variables.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"27 6","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12191802/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144495316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Method Inspired by One-Dimensional Discrete-Time Quantum Walks for Influential Node Identification. 基于一维离散时间量子行走的影响节点识别方法。

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2025-06-14 DOI: 10.3390/e27060634

Wen Liang, Yifan Wang, Qiwei Liu, Wenbo Zhang

{"title":"A Method Inspired by One-Dimensional Discrete-Time Quantum Walks for Influential Node Identification.","authors":"Wen Liang, Yifan Wang, Qiwei Liu, Wenbo Zhang","doi":"10.3390/e27060634","DOIUrl":"10.3390/e27060634","url":null,"abstract":"Identifying influential nodes in complex networks is essential for a wide range of applications, from social network analysis to enhancing infrastructure resilience. While quantum walk-based methods offer potential advantages, existing approaches face challenges in dimensionality, computational efficiency, and accuracy. To address these limitations, this study proposes a novel method inspired by the one-dimensional discrete-time quantum walk (IOQW). This design enables the development of a simplified shift operator that leverages both self-loops and the network's structural connectivity. Furthermore, degree centrality and path-based features are integrated into the coin operator, enhancing the accuracy and scalability of the IOQW framework. Comparative evaluations against state-of-the-art quantum and classical methods demonstrate that IOQW excels in capturing both local and global topological properties while maintaining a low computational complexity of O(N⟨k⟩), where ⟨k⟩ denotes the average degree. These advancements establish IOQW as a powerful and practical tool for influential node identification in complex networks, bridging quantum-inspired techniques with real-world network science applications.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"27 6","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12191468/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144495235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

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