Extended DEMATEL method with intuitionistic fuzzy information: A case of electric vehicles. by Qiwen Ye

“…The Decision-Making Trial and Laboratory (DEMATEL) methodology excels in the analysis of interdependent factors within complex systems, with correlation data typically presented in crisp values. …”
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Utilizing Entropy to Systematically Quantify the Resting-Condition Baroreflex Regulation Function by Bo-Yuan Li, Xiao-Yang Li, Xia Lu, Rui Kang, Zhao-Xing Tian, Feng Ling

“…From the perspective of complex systems, we regard that BRF is the emergence result of fluctuate states and interactions in physiological mechanisms. …”
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Splitting Travel Time Based on AFC Data: Estimating Walking, Waiting, Transfer, and In-Vehicle Travel Times in Metro System by Yong-Sheng Zhang, En-Jian Yao

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Estimates for Multilinear Commutators of Generalized Fractional Integral Operators on Weighted Morrey Spaces by Sha He, Taotao Zheng, Xiangxing Tao

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Construction and Application of Music Audio Database Based on Collaborative Filtering Algorithm by Jianfei Zheng

“…This research uses Big Data and collaborative filtering algorithm technology to establish a new multilevel music audio database with discrete dynamic modeling characteristics of complex systems, which can greatly improve the data structure of each level of the database, so as to improve the efficiency and accuracy of retrieving various types of music and audio files in the database.…”
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Scalable Multilabel Learning Based on Feature and Label Dimensionality Reduction by Jaesung Lee, Dae-Won Kim

“…The data-driven management of real-life systems based on a trained model, which in turn is based on the data gathered from its daily usage, has attracted a lot of attention because it realizes scalable control for large-scale and complex systems. To obtain a model within an acceptable computational cost that is restricted by practical constraints, the learning algorithm may need to identify essential data that carries important knowledge on the relation between the observed features representing the measurement value and labels encoding the multiple target concepts. …”
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Weighted Couple-Group Consensus Analysis of Heterogeneous Multiagent Systems with Cooperative-Competitive Interactions and Time Delays by Xingcheng Pu, Chaowen Xiong, Lianghao Ji, Longlong Zhao

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RESEARCH ON RELIABILITY ASSESSMENT METHOD OF MECHANICAL SYSTEM CONSIDERING MULTIPLE FAILURE STATES by HU QiGuo, DU ChunChao, CAO LiJie, SHENG HuiMin

“…In order to solve the limitations of traditional methods in the reliability assessment of complex systems with multi-states and difficult to obtain accurate failure rates, and the problems of T-S fault tree in the system reliability analysis, such as complex calculation and inverse reasoning, etc., a reliability assessment method based on T-S fault tree and interval-valued fuzzy multi-state Bayesian network is proposed. …”
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ImageDoubler: image-based doublet identification in single-cell sequencing by Kaiwen Deng, Xinya Xu, Manqi Zhou, Hongyang Li, Evan T. Keller, Gregory Shelley, Annie Lu, Lana Garmire, Yuanfang Guan

“…Abstract Single-cell sequencing provides detailed insights into individual cell behaviors within complex systems based on the assumption that each cell is uniquely isolated. …”
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Condition monitoring and multi-fault classification of hydraulic systems using multivariate functional data analysis by Cevahir Yildirim, Alba M. Franco-Pereira, Rosa E. Lillo

“…Experimental results demonstrate that this approach achieves high classification accuracy using raw multi-sensor data, establishing multivariate FDA as a powerful tool for fault diagnosis in complex systems.…”
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A Novel Approach for Reducing Attributes and Its Application to Small Enterprise Financing Ability Evaluation by Baofeng Shi, Bin Meng, Hufeng Yang, Jing Wang, Wenli Shi

“…Attribute reduction is viewed as a kind of preprocessing steps for reducing large dimensionality in data mining of all complex systems. A great deal of researchers have proposed various approaches to reduce attributes or select key features in multicriteria decision making evaluation. …”
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Bio‐Inspired Neuromorphic Sensory Systems from Intelligent Perception to Nervetronics by Elvis K. Boahen, Hyukmin Kweon, Hayoung Oh, Ji Hong Kim, Hayoung Lim, Do Hwan Kim

“…The discussion extends to the emulation of biological perception via artificial synapses and concludes with future perspectives and challenges in neuromorphic system development, emphasizing the need for a deeper understanding of neural network processing to innovate and refine these complex systems.…”
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Digital Transformation and Innovation Performance in Small- and Medium-Sized Enterprises: A Systems Perspective on the Interplay of Digital Adoption, Digital Drive, and Digital Cul... by Shaofeng Wang, Hao Zhang

“…Small- and medium-sized enterprises (SMEs) face complex systemic challenges in managing digital transformation while pursuing innovation in an increasingly interconnected business environment. …”
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Segregation-dislocation self-organized structures ductilize a work-hardened medium entropy alloy by Bojing Guo, Dingcong Cui, Qingfeng Wu, Yuemin Ma, Daixiu Wei, Kumara L. S. R, Yashan Zhang, Chenbo Xu, Zhijun Wang, Junjie Li, Xin Lin, Jincheng Wang, Xun-li Wang, Feng He

“…Inspired by the self-organized critical states of non-equilibrium complex systems in nature, we explored the mechanical response of an additively manufactured medium entropy alloy with segregation-dislocation self-organized structures (SD-SOS). …”
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Three Horizons for Future Geoscience by Iain Stewart, Maria Angela Capello, Hassina Mouri, Kombada Mhopjeni, Munira Raji

“…In response to this need, we introduce the “Three Horizons” concept for visualizing paradigm change in complex systems as a tool to explore how the future global geoscientific mission might be re-imagined. …”
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An Information Geometric Perspective on the Complexity of Macroscopic Predictions Arising from Incomplete Information by Sean Alan Ali, Carlo Cafaro, Steven Gassner, Adom Giffin

“…The IGAC is a theoretical modeling scheme that combines methods of information geometry with inductive inference techniques to furnish probabilistic descriptions of complex systems in presence of limited information. In addition to relying on curvature and Jacobi field computations, a suitable indicator of complexity within the IGAC framework is given by the so-called information geometric entropy (IGE). …”
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Analytical protocol for measuring micro-molar quantities of sulfur volatile species in experimental high pressure and temperature fluids by Arianna Secchiari, Luca Toffolo, Sandro Recchia, Simone Tumiati

“…Abstract Validating thermodynamic models is essential in experimental geosciences for exploring increasingly complex systems and developing analytical protocols. However, investigating solid–fluid equilibria in mm3-sized experimental capsules poses several challenges, particularly in sulfur-bearing chemical systems. …”
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Memoryless Systems Generate the Class of all Discrete Systems by Erwan Beurier, Dominique Pastor, David I. Spivak

“…Automata are machines, which receive inputs, accordingly update their internal state, and produce output, and are a common abstraction for the basic building blocks used in engineering and science to describe and design complex systems. These arbitrarily simple machines can be wired together—so that the output of one is passed to another as its input—to form more complex machines. …”
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One-sided device-independent random number generation through fiber channels by Jinfang Zhang, Yi Li, Mengyu Zhao, Dongmei Han, Jun Liu, Meihong Wang, Qihuang Gong, Yu Xiang, Qiongyi He, Xiaolong Su

“…Abstract Randomness is an essential resource and plays important roles in various applications ranging from cryptography to simulation of complex systems. Certified randomness from quantum process is ensured to have the element of privacy but usually relies on the device’s behavior. …”
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Some Aspects of Sensitivity Analysis in Variational Data Assimilation for Coupled Dynamical Systems by Sergei Soldatenko, Peter Steinle, Chris Tingwell, Denis Chichkine

“…For simple enough low-order models, the computational cost is minor and therefore models of this class are used as simple test instruments to emulate more complex systems. In this paper, the sensitivity with respect to variations in the parameters of one of the main components of VDA, the nonlinear forecasting model, is considered. …”
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