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A New Mathematical Model for Cell Layout Problem considering Rotation of Unequal Dimensions of Cells and Machines Complexity (IF 2.3) Pub Date : 2024-3-12 Raheleh Alamiparvin, Esmaeil Mehdizadeh, Hamed Soleimani
One of the main concepts in group technology (GT) is the cellular manufacturing system (CMS) with three main problems of cell formation (CF), cell layout (CL), and cell scheduling (CS). This paper studies the cell layout problem (CLP), aiming to find the optimal layout of machines within each cell (intracellular layout) and the optimal layout of cells in each workshop (intercellular layout). To adapt
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The Core Might Change Anyhow We Define It: The Instability of Key Actors in Longitudinal Social Network Data Complexity (IF 2.3) Pub Date : 2024-3-2 Róbert Pethes, Eliza Bodor-Eranus, Károly Takács, Levente Kovács
Central actors or opinion leaders are in the right structural position to spread relevant information or convince others about adopting an innovation or behaviour change. Who is a central actor or opinion leader might be conceptualised in various ways. Widely accepted centrality measures do not take into account that those in central positions in the social network may change over time. A longitudinal
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The Complexities in the R&D Competition Model with Spillover Effects in the Supply Chain Complexity (IF 2.3) Pub Date : 2024-2-28 Jianli Xiao, Hanli Xiao
This study aims to investigate the research and development (R&D) competition within the supply chain, focusing on two aspects: R&D competition at the manufacturing level and competition in pricing strategies. This paper establishes a dynamic game model of R&D competition, comprising two manufacturers and two retailers, with both manufacturers exhibiting bounded rationality. The key findings are as
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The Development Strategy of Dual-Channel Supply Chain of Smart Elderly Care Service from the Perspective of Time Perception Complexity (IF 2.3) Pub Date : 2024-2-27 Tong Zhao, Qiaoming Hou
The development of smart elderly industry is an inevitable way to cope with the aging of the population. This research takes the smart elderly care service supply chain as the object, combines the social emotional choice theory for the first time, and uses the time perception to refine the elderly care demand into future-orientation demand and present-orientation demand. This paper analyzes the coordination
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Echo State Property upon Noisy Driving Input Complexity (IF 2.3) Pub Date : 2024-2-16 Junhyuk Woo, Hyeongmo Kim, Soon Ho Kim, Kyungreem Han
The echo state property (ESP) is a key concept for understanding the working principle of the most widely used reservoir computing model, the echo state network (ESN). The ESP is achieved most of the operation time under general conditions, yet the property is lost when a combination of driving input signals and intrinsic reservoir dynamics causes unfavorable conditions for forgetting the initial transient
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Conceptualizing Discussions on the Dark Web: An Empirical Topic Modeling Approach Complexity (IF 2.3) Pub Date : 2024-2-14 Randa Basheer, Bassel Alkhatib
Social networks on the Internet have become a home that attracts all types of human thinking to exchange knowledge and ideas and share businesses. On the other hand, it has also become a source for researchers to analyze this knowledge and frame it in patterns that define types of thoughts circulating on these networks and representing the communities around them. In particular, some social networks
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Global Stability with Lyapunov Function and Dynamics of SEIR-Modified Lassa Fever Model in Sight Power Law Kernel Complexity (IF 2.3) Pub Date : 2024-2-12 Muhammad Farman, Cicik Alfiniyah, Muhammad Saqib
Lassa fever is an acute viral hemorrhagic disease that affects humans and is endemic in various West African nations. In this study, a fractional-order model is constructed using the Caputo operator for SEIR-type Lassa fever transmission, including the control strategy. The proposed model examines the dynamics of Lassa fever transmission from rodents to humans and from person to person and in territories
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A Stochastic Discrete Fractional Cournot Duopoly Game: Modeling, Stability, and Optimal Control Complexity (IF 2.3) Pub Date : 2024-2-9 Jie Ran, Yonghui Zhou
A stochastic discrete fractional Cournot duopoly game model with a unique interior Nash equilibrium is developed in this study. Some sufficient criteria of the Lyapunov stability in probability for the proposed model at the interior Nash equilibrium are derived using the Lyapunov theory. The proposed model’s finite time stability in probability is then investigated using a nonlinear feedback control
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Cournot–Bertrand Duopoly Model: Dynamic Analysis Based on a Computed Cost Complexity (IF 2.3) Pub Date : 2024-2-6 S. S. Askar, Ahmed M. Alshamrani
In this paper, some mathematical properties and dynamic investigations of a Cournot–Bertrand duopoly game using a computed nonlinear cost are studied. The game is repeated and its evolution is presented by noninvertible map. The fixed points for this map are calculated and their stability conditions are discussed. One of those fixed points is Nash equilibrium, and the discussion shows that it can be
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A Nonconvex Proximal Bundle Method for Nonsmooth Constrained Optimization Complexity (IF 2.3) Pub Date : 2024-2-6 Jie Shen, Fang-Fang Guo, Na Xu
An implementable algorithm for solving nonsmooth nonconvex constrained optimization is proposed by combining bundle ideas, proximity control, and the exact penalty function. We construct two kinds of approximations to nonconvex objective function; these two approximations correspond to the convex and concave behaviors of the objective function at the current point, which captures precisely the characteristic
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Qualitative Analysis of the Discretization of a Continuous Fractional Order Prey-Predator Model with the Effects of Harvesting and Immigration in the Population Complexity (IF 2.3) Pub Date : 2024-2-2 Md. Jasim Uddin, Sarker Md. Sohel Rana
This study examines the discrete prey-predator model in the sense of Caputo fractional derivative by incorporating harvesting on the predator population and immigration on the prey population. We establish the topological categories of the model’s fixed points. We show analytically that a fractional order prey-predator model supports both a Neimark–Sacker (NS) bifurcation and a period-doubling (PD)
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Differential Game Model for a Dual-Channel Supply Chain’s Optimal Strategy under the Reference Carbon Emission Effect Complexity (IF 2.3) Pub Date : 2024-1-29 Di Yu
Taking into account the impact of time factors on emission reductions and brand reputation, the reference carbon emission effect and dual-channel supply chain are incorporated into a unified analysis framework. We applied differential game theory to build models under centralized decision-making and decentralized decision-making. The aim of the research is to explore the strategies of a single manufacturer
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Urban Economic Structures as Multidimensional Networks: A Complex Systems Framework for Analyzing Economic Development Trajectories Complexity (IF 2.3) Pub Date : 2024-1-25 Shade T. Shutters
Urban and regional systems often face the difficulty and necessity of structural transitions. These transitions, which can be imposed by external circumstances or initiated by a city itself, include energy transitions, transitions to a circular economy, transitions following a pandemic or natural disaster, or intentional policies meant to “move” an urban economy toward a desired state. However, what
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A Probabilistic Approach for Missing Data Imputation Complexity (IF 2.3) Pub Date : 2024-1-19 Muhammed Nazmul Arefin, Abdul Kadar Muhammad Masum
In the context of data analysis, missing data imputation is a vital issue due to the typically large scale and complexity of the datasets. It often results in a higher incidence of missing data. So, addressing missing data through the imputation technique is essential to ensure the integrity and completeness of the data. It will ultimately improve the accuracy and validity of the data analysis. The
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A Multilevel Wavelet Decomposition Network Hybrid Model Utilizing Cyclic Patterns for Stock Price Prediction Complexity (IF 2.3) Pub Date : 2024-1-17 H. R. Wen, Mingchuan Yuan, Shuxin Wang, Lixin Liang, Xianghua Fu
Stock price prediction is an important and complex time-series problem in academia and financial industries. Stock market prices are voted by all kinds of investors and are influenced by various factors. According to the literature studies, such as Elliott’s wave theory and Howard’s market cycle investment theory, the cyclic patterns are significant characteristics of the stock market. However, even
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Robust Decentralized Formation Tracking Control of Complex Multiagent Systems Complexity (IF 2.3) Pub Date : 2024-1-11 Naveed Mazhar, Rameez Khan, Abid Raza, Fahad Mumtaz Malik, Raja Amer Azim, Hameed Ullah
This article investigates the decentralized formation tracking problem for complex multiagent systems in finite settling time, subjected to output constraints and external disturbances. The barrier Lyapunov function is used to constrain the output of each agent. Therefore, starting inside a closed boundary, the agents are guaranteed to remain inside it for all future time. Under directed communication
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Research on Path Optimization of Vehicle-Drone Joint Distribution considering Customer Priority Complexity (IF 2.3) Pub Date : 2024-1-10 Xiaoye Zhou, Yuhao Feng
To meet the personalized distribution needs of customers, comprehensively consider customer value, the urgency of customer needs, and the impact of priority distribution to the customer on the enterprise, and based on regional restrictions, put forward vehicle-drone joint distribution path optimization problem considering customer priority. First, the goal is to minimize the sum of total distribution
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A Static-Dynamic Hypergraph Neural Network Framework Based on Residual Learning for Stock Recommendation Complexity (IF 2.3) Pub Date : 2024-1-8 Jianlong Hao, Zhibin Liu, Qiwei Sun, Chen Zhang, Jie Wang
Stock ranking prediction is an effective method for achieving a high investment return and plays a crucial role in investment decisions. However, previous studies have overlooked the interconnections among stocks or have solely relied on predefined graphs for stock relationship information. The predefined graphs may not capture all possible relationships and may not be suitable for describing dynamic
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Joint Optimization of Item and Pod Storage Assignment Problems with Picking Aisles’ Workload Balance in Robotic Mobile Fulfillment Systems Complexity (IF 2.3) Pub Date : 2024-1-5 Jun Zhang, Lingkun Tian, Zijuan Zhou
The item and pod storage assignment problems, two critical issues at the strategic level in robotic mobile fulfillment systems, have a strong correlation and should be studied together. Moreover, the workload balance in each picking aisle needs to be considered in the storage assignment problems to avoid robots’ congestion within picking aisles. Motivated by these, the joint optimization of item and
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Problem Involving the Riemann–Liouville Derivative and Implicit Variable-Order Nonlinear Fractional Differential Equations Complexity (IF 2.3) Pub Date : 2024-1-5 Zoubida Bouazza, Mohammed Said Souid, Hatıra Günerhan, Ali Shokri
The problem of boundary values for implicit differential equations with nonlinear fractions involving the variable order and the Riemann–Liouville derivative is examined in this article along with its existence and stability. Specifically, the locally solvability, which is equivalent to the existence of solutions, is related to the symmetry of a transformation of a nonlinear equations system. To demonstrate
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A Numerical Approach for the Analytical Solution of Multidimensional Wave Problems Complexity (IF 2.3) Pub Date : 2023-12-31 Jinxing Liu, Jiahua Fang, Muhammad Nadeem, Yahya Alsayyad
Wave problem arises in various phenomena of science and engineering. This study proposes an efficient and appropriate scheme to produce the approximate solutions of multidimensional problems arising in wave propagation. We use a new iterative strategy (NIS) to minimize the computational cost and less time than other approaches studied in the literature. Since the variational iteration method (VIM)
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Transient Dynamics of a Food Chain Model with Vigilance in the Biparameter Spaces Complexity (IF 2.3) Pub Date : 2023-12-31 Min Wu
This article focuses on the asymptotic and transient behavior of a food chain model with vigilance in the biparameter spaces. Firstly, the local asymptotic stability conditions of the positive equilibrium point are obtained. Then, the transient dynamical behavior of the positive equilibrium point is analyzed based on eight parameters. Using numerical simulation, the stable regions of the model with
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Recursive Delta-Operator-Based Subspace Identification with Fixed Data Size Complexity (IF 2.3) Pub Date : 2023-12-29 Miao Yu, Wanli Wang, Youyi Wang, Liang Liu
This paper proposes a recursive delta-operator-based subspace identification method with fixed data size. The majority of existing subspace identification methods are constrained to discrete-time systems because of the disparity in Hankel matrices. Additionally, due to the storage cost, LQ-factorization and singular value decomposition in identification methods are best suited for batch processing
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An Efficient Sentiment Classification Method with the Help of Neighbors and a Hybrid of RNN Models Complexity (IF 2.3) Pub Date : 2023-12-27 Israa K. Salman Al-Tameemi, Mohammad-Reza Feizi-Derakhshi, Saeed Pashazadeh, Mohammad Asadpour
Some texts that are challenging to recognize on their own may become more understandable in a neighborhood of related texts with similar contexts. Motivated by this intuition, a novel deep text sentiment classification (DTSC) model is proposed to improve the model’s performance by incorporating the neighborhood of related texts. Our framework uses a nonparametric approach to construct neighborhoods
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A Modified Horse Herd Optimization Algorithm and Its Application in the Program Source Code Clustering Complexity (IF 2.3) Pub Date : 2023-12-27 Bahman Arasteh, Peri Gunes, Asgarali Bouyer, Farhad Soleimanian Gharehchopogh, Hamed Alipour Banaei, Reza Ghanbarzadeh
Maintenance is one of the costliest phases in the software development process. If architectural design models are accessible, software maintenance can be made more straightforward. When the software’s source code is the only available resource, comprehending the program profoundly impacts the costs associated with software maintenance. The primary objective of comprehending the source code is extracting
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Manufacturer’s Green Financing and CER Decisions under the Carbon Tax Policy and Capital Constraints Complexity (IF 2.3) Pub Date : 2023-12-26 Yunfeng Zhang, Tingting Song, Jingting Ma, Ying Qin
This study constructs a two-echelon low-carbon supply chain consisting of a single manufacturer and a retailer. The manufacturer’s initial capital is zero. The study analyzes three financing modes of the manufacturer by using the Stackelberg game model: external financing (the EF mode), internal financing (the IF mode), and trade credit financing (the TC mode). We found that the IF mode is superior
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An Efficient Algorithm for Resource Allocation in Mobile Edge Computing Based on Convex Optimization and Karush–Kuhn–Tucker Method Complexity (IF 2.3) Pub Date : 2023-12-24 Kaijing Wang, Shelily F. Akhtar, Fahad Ahmed Al-Zahrani
Mobile edge computing (MEC) is receiving more attention than centralized cloud computing due to the massive increase in transmission and compute requirements in 5G vehicle networks. It offers a significant amount of processing and storage resources to the edge of networks, offloading applications from vehicle terminals that are computation-intensive and delay-sensitive. For devices with limited resources
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Dynamics in the Predictability of Credit Default Swap Spreads of EU Companies Complexity (IF 2.3) Pub Date : 2023-12-23 Kirill Romanyuk, Sarvar Anvarov, Mark Shumilov, Alecksey Zheleyko
The COVID-19 pandemic affected financial instruments and markets all around the world. Credit default swap contracts of EU companies were analysed in this paper. The data consist of daily credit default swap spreads and market capitalisations of EU companies, exchange rates, LIBOR rates, bond yields, and commodity futures prices from January 2010 to February 2022. The dynamics in the performance of
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Fault Detection and Isolation in Smart-Grid Networks of Intelligent Power Routers Modeled as Probabilistic Boolean Networks Complexity (IF 2.3) Pub Date : 2023-12-14 Pedro J. Rivera Torres, Carlos Gershenson García, Samir Kanaan Izquierdo
A self-organizing complex-network modeling method, probabilistic Boolean networks, is presented as a model-based diagnostic system for detecting and isolating different types of faults, failures, and modes of operation in which a network of intelligent power routers is deployed over a standard power test case: the Western System Coordinating Council 9 Bus System. Such a system allows designers and
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Transition Yet Energy Consuming for Tumor Growth Regulated by the Colored Microenvironment Complexity (IF 2.3) Pub Date : 2023-12-13 Leiyan Chen, Yan Wang, Qingqing Li, Haohua Wang
Transition or metastasis is a main characteristic of tumor developmental processes. However, the mechanism behind the transition and what costs involved are obscure when the tumor is exposed to a colored microscopic environment. Here, focusing on the regulatory role of noises from its strength and correlation time on phenotypic diversity of tumors, we show that (1) when the noise strength (NS) is fixed
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Twitter Self-Organization to the Edge of a Phase Transition: Discrete-Time Model and Effective Early Warning Signals in Phase Space Complexity (IF 2.3) Pub Date : 2023-12-12 Andrey Dmitriev, Andrey Lebedev, Vasily Kornilov, Victor Dmitriev
Many real-world systems of various origins are capable of self-organization to the edge of a phase transition, characterized by avalanche-like behavior. Therefore, it is important, by observing the behavior of early warning measures for dynamical series generated by systems, to timely see the early warning signals (precursors) of such self-organization and, if necessary, take preventive measures. To
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A New Comprehensive Framework for Identifying and Monitoring the Interseasonal Characteristics of Meteorological Drought Complexity (IF 2.3) Pub Date : 2023-12-11 Hamza Amin, Rizwan Niaz, Nafisa A. Albasheir, Fuad S. Al-Duais, Mohammed M. A. Almazah, A. Y. Al-Rezami
The current study aimed to examine the interseasonal characteristics of meteorological drought. For this purpose, a new comprehensive framework is proposed. The framework consists of two major stages. In the first stage of the framework, the K-means method is utilized to identify homogeneous clusters. Besides, the Monte Carlo feature selection (MCFS) is applied to select more important stations from
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Dynamic Analysis of Isotropic Homogeneous Beams Using the Method of Initial Functions and Comparison with Classical Beam Theories and FEM Complexity (IF 2.3) Pub Date : 2023-12-9 Jitendra Namdeo, S. K. Dubey, Lobzang Dorji
The main aim of this study is the dynamic analysis of isotropic homogeneous beams using the method of initial functions (MIFs) and comparison with classical beam theories and FEM. Also, this research employs the state space methodology, with a special emphasis on isotropy, to analyse simply supported beam systems. A mathematical model for the dynamic response of beams is constructed using the method
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An Interlayer Link Prediction Method Based on Edge-Weighted Embedding Complexity (IF 2.3) Pub Date : 2023-12-8 Hefei Hu, Sirui Zhang, Yanan Wang
Presently, users usually register accounts on online social networks (OSNs). Identifying the same user in different networks is also known as interlayer link prediction. Most existing interlayer link prediction studies use embedding methods, which represent nodes in a common representation space by learning mapping functions. However, these studies often directly model links within the pre-embedding
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The Effect of Platform Data Quality on Tax Compliance in Digital Economy: A Multiagent Based Simulation Complexity (IF 2.3) Pub Date : 2023-12-8 Peng Jin, Zhangwei Feng, Guiping Li
The expeditious development of the digital economy has posed critical challenges for tax compliance. Recent reforms and technological changes, such as the emergency of platform data sharing, perform as potential instruments to potentially solve the tax compliance issue in the digital economy. This article innovatively combines tax compliance and digital economy taxation and proposes an expected utility
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Green Investment Decisions and Coordination in a Green Agri-Product Supply Chain considering Risk Aversion and Bargaining Power under Different Channel Power Structures Complexity (IF 2.3) Pub Date : 2023-12-5 Shizhen Bai, Yonggan Wang, Shenghua Zheng, Hao He
With eco-friendly green agriculture becoming the development trend of modern agriculture, how to make green investments and how to coordinate the supply chain become the key issues of agricultural green development. Using game theory and optimization theory, this paper studies the green investment decision in a two-echelon agricultural supply chain composed of a risk-averse farmer and a risk-neutral
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IMBoost: A New Weighting Factor for Boosting to Improve the Classification Performance of Imbalanced Data Complexity (IF 2.3) Pub Date : 2023-11-11 SeyedEhsan Roshan, Jafar Tanha, Farzad Hallaji, Mohammad-reza Ghanbari
Imbalanced datasets pose significant challenges in the field of machine learning, as they consist of samples where one class (majority) dominates over the other class (minority). Although AdaBoost is a popular ensemble method known for its good performance in addressing various problems, it fails when dealing with imbalanced data sets due to its bias towards the majority class samples. In this study
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Analysis of Volterra Integrodifferential Equations with the Fractal-Fractional Differential Operator Complexity (IF 2.3) Pub Date : 2023-11-9 undefined Kamran, Aisha Subhan, Kamal Shah, Suhad Subhi Aiadi, Nabil Mlaiki, Fahad M. Alotaibi
In this paper, a class of integrodifferential equations with the Caputo fractal-fractional derivative is considered. We study the exact and numerical solutions of the said problem with a fractal-fractional differential operator. The abovementioned operator is arising widely in the mathematical modeling of various physical and biological problems. In our scheme, first, the integrodifferential equation
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The Canonical Discriminant Model of the Environmental Security Threats Complexity (IF 2.3) Pub Date : 2023-11-7 Olha Kovalchuk, Mikolaj Karpinski, Ludmila Babala, Mykhailo Kasianchuk, Ruslan Shevchuk
The existence of modern humanity directly depends on environmental security. Human society, biodiversity, ecosystems, and climate safety are interdependent. The anthropogenic influence that causes irreversible climate change threatens both the ecosystem’s existence and humans’ survival. To maintain a balance between human well-being and a safe environment, it is important to have a diverse knowledge
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Secure Two-Party Decision Tree Classification Based on Function Secret Sharing Complexity (IF 2.3) Pub Date : 2023-10-31 Kun Liu, Chunming Tang
Decision tree models are widely used for classification tasks in data mining. However, privacy becomes a significant concern when training data contain sensitive information from different parties. This paper proposes a novel framework for secure two-party decision tree classification that enables collaborative training and evaluation without leaking sensitive data. The critical techniques employed
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A Malware Propagation Model with Dual Delay in the Industrial Control Network Complexity (IF 2.3) Pub Date : 2023-10-30 Wei Yang, Qiang Fu, Yu Yao
The malware attacks targeting the industrial control network are gradually increasing, and the nonlinear phenomenon makes it difficult to predict the propagation behavior of malware. Once the dynamic system becomes unstable, the propagation of malware will be out of control, which will seriously threaten the security of the industrial control network. So, it is necessary to model and study the propagation
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Enhanced Dynamic Network DEA: A Novel Algorithm for Sustainable Development Efficiency Assessment in “Internet Plus Logistics” Sector Complexity (IF 2.3) Pub Date : 2023-10-27 Yingli Wang, Guobin Qiu, Jing Wang, Qi Sun
This study introduces the enhanced dynamic network DEA, an innovative algorithmic extension of the foundational data envelopment analysis (DEA), to assess the sustainable development efficiency of Jiangxi Province’s “Internet Plus Logistics” sector from 2002 to 2016. This methodology leverages a comprehensive evaluation indicator system, emphasizing waterway, highway, and railway logistics outputs
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Nash Equilibrium of Stochastic Partial Differential Game with Partial Information via Malliavin Calculus Complexity (IF 2.3) Pub Date : 2023-10-26 Gaofeng Zong
In this article, we consider the Nash equilibrium of stochastic differential game where the state process is governed by a controlled stochastic partial differential equation and the information available to the controllers is possibly less than the general information. All the system coefficients and the objective performance functionals are assumed to be random. We find an explicit strong solution
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Synchronizability of Discrete Nonlinear Systems: A Master Stability Function Approach Complexity (IF 2.3) Pub Date : 2023-10-20 Mohanasubha Ramasamy, Suresh Kumarasamy, Sakthi Kumar Sampathkumar, Anitha Karthikeyan, Karthikeyan Rajagopal
In recent times, studies on discrete nonlinear systems received much attention among researchers because of their potential applications in real-world problems. In this study, we conducted an in-depth exploration into the stability of synchronization within discrete nonlinear systems, specifically focusing on the Hindmarsh–Rose map, the Chialvo neuron model, and the Lorenz map. Our methodology revolved
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Pricing for Refund Service Fee of High-Speed Railway: An Optimization Approach with Uncertain Demand Complexity (IF 2.3) Pub Date : 2023-10-18 Yu Wang, Jiafa Zhu, Hongye Wang, Xiaoyan Lv
Compared to single ticket purchase behavior, the impact of ticket cancellation behavior on revenue is full of complexity. Due to the cancelled tickets will be resold with uncertain demand, ticket cancellation behaviors and ticket purchase behaviors are intertwined and influenced, composed of a dynamic and complex system in the presale period. How to charge for ticket cancellation behavior in the name
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Modeling and Simulation Analysis of Bionic Flapping-Wing Flight Attitude Control Based on L1 Adaptive Complexity (IF 2.3) Pub Date : 2023-10-4 Lun Li, Fan Bai, Wencheng Wang, Xiaojin Wu, Yihua Dong
Flapping-wing flight control is a multi-input and multi-output nonlinear system with uncertainties, which is affected by modeling errors, parameter variations, external disturbances, and unmodeled dynamics. Parameter uncertainty has a great impact on the stability control of flapping-wing flight, and gain adjustment is a common means to deal with parameter uncertainty, but it is complex and time-consuming
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Exploring the Regional Structure of the Worldwide Air Traffic and Route Networks Complexity (IF 2.3) Pub Date : 2023-9-26 Issa Moussa Diop, Cherif Diallo, Chantal Cherifi, Hocine Cherifi
The topological structure of the world air transportation network has been the subject of much research. However, to better understand the reality of air networks, one can consider the traffic, the number of passengers, or the distance between flights. This paper studies the weighted world air transportation network through the component structure, recently introduced in the network literature, by
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Prediction after a Horizon of Predictability: Nonpredictable Points and Partial Multistep Prediction for Chaotic Time Series Complexity (IF 2.3) Pub Date : 2023-9-21 Vasilii A. Gromov, Philip S. Baranov
This paper introduces several novel strategies for multi-step-ahead prediction of chaotic time series. Introducing a concept of “generalized z-vectors” (vectors of nonsuccessive time series observations) makes it possible to generate sets of possible prediction values for each point we are trying to predict. Through examining these sets, unified predictions are calculated, which are in turn used as
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The Effects of Knowledge Base Diversity on Cross-Industry Innovation Performance: The Moderating Role of Network Embeddedness Complexity (IF 2.3) Pub Date : 2023-9-20 Yang Zhou, Chunyu Meng, Xin Chen
To reveal the impact of knowledge base diversity (KBD) and network embeddedness on cross-industry innovation performance (CIP), we performed an empirical hierarchical regression analysis using patent data from the mobile phone industry. The results show the following. (1) There was an inverted U-shaped relationship between relevant KBD and CIP and a U-shaped relationship between nonrelevant KBD and
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The Line-Haul Feeder Vehicle Routing Problem: A Classification and Review Complexity (IF 2.3) Pub Date : 2023-9-20 Majid Yousefikhoshbakht, Mohamadreza Chaharmahali, Zakir Hussain Ahmed
Today, goods transportation is considered to be one of the most important activities of national economics. Logistics and supply chain play an important role in the industry and services, considering the needs of the people, while there is an increase in the population. In addition, the role of logistics in urban areas, especially in restaurants, grocery stores, etc., is clearly visible. Besides, the
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Homogeneity Test of Response Rate Functions in Bilateral Correlated Data under Dallal’s Model Complexity (IF 2.3) Pub Date : 2023-9-15 Hengyi Zhao, Xiaojuan Wang, Jingwen Bian, Shenglong Chen, Zhiming Li
In clinical studies, paired binary metadata are often encountered during collecting information from paired organs or parts. The risk difference, relative risk ratio, and odds ratios of response rates are widely used to measure cured effects for such data. Under Dallal’s model, the paper extends these measures to the general case in groups. We propose eight test statistics for various functions when
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Cooperation Behavior of Opinion Leaders and Official Media on the Governance of Negative Public Opinion in the Context of the Epidemic: An Evolutionary Game Analysis in the Perspective of Prospect Theory Complexity (IF 2.3) Pub Date : 2023-9-11 Jing Wei, Lijun Wang, Hengmin Zhu, Weidong Huang
The reach of online information transmission has expanded due to the rapid growth of social software and Internet technology, and the negative information generated during the COVID-19 outbreak can confuse the public. Therefore, a new challenge in the prevention and control of epidemics is how to supervise negative public perceptions. This study differentiates negative public opinion communication
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Nonsingular Fast Terminal Sliding Mode Neural Network Decentralized Control of a Quadrotor Unmanned Aerial Vehicle Complexity (IF 2.3) Pub Date : 2023-9-9 Yuqing Mao, Jing Chen
A nonsingular terminal sliding mode decentralized controller that can ensure the tracking errors of the trajectories and attitude rapid convergence in finite time is proposed for an insufficient driven and strongly coupled nonlinear four-rotor unmanned aerial vehicle (UAV). The total lift of the UAV system is decomposed into three virtual drive separation forces corresponding to the three positions
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Practical Input-to-State Stability of Nonlinear Systems with Time Delay Complexity (IF 2.3) Pub Date : 2023-9-7 Abdellatif Ben Makhlouf, Nizar Hadj Taieb, Mohamed Rhaima, Lassaad Mchiri
An investigation of the input-to-state practical stability (ISpS) and the integral input-to-state practical stability (iISpS) of nonlinear systems with time delays (NSWTDs) is presented in this paper. The ISpS and iISpS of the systems are obtained by using a continuously differentiable Lyapunov–Krasovskii functional (LKF) within-definite derivative, which generalizes the classical LKF with a positive
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PSO with Mixed Strategy for Global Optimization Complexity (IF 2.3) Pub Date : 2023-9-6 Jinwei Pang, Xiaohui Li, Shuang Han
Particle swarm optimization (PSO) is an evolutionary algorithm for solving global optimization problems. PSO has a fast convergence speed and does not require the optimization function to be differentiable and continuous. In recent two decades, a lot of researches have been working on improving the performance of PSO, and numerous PSO variants have been presented. According to a recent theory, no optimization
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Hamiltonian Neural Network 6-DoF Rigid-Body Dynamic Modeling Based on Energy Variation Estimation Complexity (IF 2.3) Pub Date : 2023-9-5 Fei Simiao, Huo Lin, Sun Zhixiao, Wang He, Lu Yuanjie, He Jile, Luo Qing, Su Qihang
This study introduces a novel deep modeling approach that utilizes Hamiltonian neural networks to address the challenges of modeling the six degrees of freedom rigid-body dynamics induced by control inputs in various domains such as aerospace, robotics, and automotive engineering. The proposed method is based on the principles of Hamiltonian dynamics and employs an inductive bias in the form of a constructed
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Emergency Medical Resources Allocation of Periphery for Epidemic Areas: Based on Infectious Diseases Spatial-Temporal Transmission Path Complexity (IF 2.3) Pub Date : 2023-9-4 Xuan Zhao, Benhong Peng, Chaoyu Zheng, Anxia Wan
People in the epicenter suffer from emergency medical supplies shortage in the early stage of a public health emergency because of imbalanced supply-demand in different regions or areas, which is a key issue in a major infectious disease. In response to the severe insufficiency of supplies in the epicenter, this study proposed a strategy of distributing supplies from peripheral areas to the epicenter
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Adaptive Control for Complex Systems with Dynamics and Time-Varying Powers Complexity (IF 2.3) Pub Date : 2023-9-2 Lingrong Xue, Zhen-Guo Liu
This work focuses on presenting a control algorithm to investigate nonlinear systems, which contain time-varying powers, inverse dynamics, and uncertainties. First, some appropriate transformations are introduced to obtain a new system. Then, a Lyapunov function, which covers quadratic and high-order components, is recursively constructed for control design. Subsequently, by introducing the neural
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Emergency Volunteer Participation in the Evolutionary Game of Public Security Governance under Community Incentives Complexity (IF 2.3) Pub Date : 2023-8-31 Yuqi Yang, Liang Hong
The outbreak of the COVID-19 epidemic has brought profound changes to all aspects of our society and also reflects the importance of community emergency volunteers actively participating in epidemic prevention and control in the face of unexpected public security events. As a bridge between the implementation of government policies and the masses of the community, community emergency volunteers have
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Profit Coordination and Optimization of Agricultural Product Brand Promotion Lead by Farmer Cooperative Organizations Complexity (IF 2.3) Pub Date : 2023-8-22 Fangfang Guo, Ivan Ka Wai Lai, Tao Zhang, Yaoguang Zhong
In the e-commerce supply chain of agricultural products, there are three parties: farmer cooperative organizations, e-commerce platforms, and consumers. This study aims to investigate how to coordinate farmer cooperative organizations and e-commerce platforms to maximize the overall profits of the supply chains of agricultural products. Based on the Stackelberg game theory, this paper constructs a