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  1.  7
    Comprehensive Assessment of the Effect of Urban Built-Up Land Expansion and Climate Change on Net Primary Productivity.Pengyan Zhang, Yanyan Li, Wenlong Jing, Dan Yang, Yu Zhang, Ying Liu, Wenliang Geng, Tianqi Rong, Jingwen Shao, Jiaxin Yang & Mingzhou Qin - 2020 - Complexity 2020:1-12.
    Urbanization is causing profound changes in ecosystem functions at local and regional scales. The net primary productivity is an important indicator of global change, rapid urbanization and climate change will have a significant impact on NPP, and urban expansion and climate change in different regions have different impacts on NPP, especially in densely populated areas. However, to date, efforts to quantify urban expansion and climate change have been limited, and the impact of long-term continuous changes in NPP has not been (...)
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  2.  1
    Finite-Time Stability for a Class of Underactuated Systems Subject to Time-Varying Disturbance.Jie Wu, Dan Yang, Xinyi He & Xiaodi Li - 2020 - Complexity 2020:1-7.
    Based on the classical finite-time stability theory, the problem of finite-time stability for time-varying nonlinear systems is investigated in this paper. Several FTS theorems involving global form and local form are presented, and an estimate of the settling-time of such systems is obtained. As an application, we consider the problem of asymptotic stabilization of the Brockett integrator subject to time-varying disturbance. By the switched finite-time controller design methodology, we establish a sufficient condition to guarantee the relative asymptotic stability. For Brockett-like (...)
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  3.  4
    Damage Detection of Refractory Based on Principle Component Analysis and Gaussian Mixture Model.Changming Liu, Zhigang di ZhouWang, Dan Yang & Gangbing Song - 2018 - Complexity 2018:1-9.
    Acoustic emission technique is a common approach to identify the damage of the refractories; however, there is a complex problem since there are as many as fifteen involved parameters, which calls for effective data processing and classification algorithms to reduce the level of complexity. In this paper, experiments involving three-point bending tests of refractories were conducted and AE signals were collected. A new data processing method of merging the similar parameters in the description of the damage and reducing the dimension (...)
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  4.  7
    A Time-Aware CNN-Based Personalized Recommender System.Dan Yang, Jing Zhang, Sifeng Wang & XueDong Zhang - 2019 - Complexity 2019:1-11.
    Recommender system has received tremendous attention and has been studied by scholars in recent years due to its wide applications in different domains. With the in-depth study and application of deep learning algorithms, deep neural network is gradually used in recommender systems. The success of modern recommender system mainly depends on the understanding and application of the context of recommendation requests. However, when leveraging deep learning algorithms for recommendation, the impact of context information such as recommendation time and location is (...)
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  5. Identifying the Influential Latent Edges for Promoting the Co-SIR Model.Dan Yang, Liming Pan, Zhidan Zhao & Tao Zhou - 2021 - Complexity 2021:1-11.
    The network-based cooperative information spreading is a widely existing phenomenon in the real world. For instance, the spreading of disease outbreak news and disease prevention information often coexist and interact with each other on the Internet. Promoting the cooperative spreading of information in network-based systems is a subject of great importance in both theoretical and practical perspectives. However, very limited attention has been paid to this specific research area so far. In this study, we propose an effective approach for identifying (...)
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  6. The Impact of Adaptive Learning in Entrepreneurial Behavior for College Students.Dan Yang - 2022 - Frontiers in Psychology 12.
    Entrepreneurship of college students has always been a hot topic in families, schools and society. Massive studies aim to explore entrepreneurial behavior. However, under the condition of the 10% success rate of student entrepreneurship, the adverse impact of COVID-19 and the changed circumstance of domestic entrepreneurship, this exploration aims to study the factors that influence college students’ entrepreneurial behavior choices under the epidemic. First, through the retrieval of relevant literature and theoretical study, the variable factors that affect behavior choices are (...)
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  7.  7
    Effects of the Awareness-Driven Individual Resource Allocation on the Epidemic Dynamics.Xiaolong Chen, Ruijie Wang, Dan Yang, Jiajun Xian & Qing Li - 2020 - Complexity 2020:1-12.
    We investigate the effects of self-protection awareness on the spread of disease from the aspect of resource allocation behavior in populations. To this end, a resource-based epidemiological model and a self-awareness-based resource allocation model in complex networks are proposed, respectively. First of all, we study the coupled disease-awareness dynamics in complex networks with fixed degree heterogeneity. Through extensive Monte Carlo simulations, we find that overall the self-awareness inhibits the spread of disease. More importantly, the influence of the self-awareness on the (...)
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  8.  2
    A Novel PSO-Based Optimized Lightweight Convolution Neural Network for Movements Recognizing From Multichannel Surface Electromyogram.Xiu Kan, Dan Yang, Huisheng le CaoShu, Yuanyuan Li, Wei Yao & Xiafeng Zhang - 2020 - Complexity 2020:1-15.
    As the medium of human-computer interaction, it is crucial to correctly and quickly interpret the motion information of surface electromyography. Deep learning can recognize a variety of sEMG actions by end-to-end training. However, most of the existing deep learning approaches have complex structures and numerous parameters, which make the network optimization problem difficult to realize. In this paper, a novel PSO-based optimized lightweight convolution neural network is designed to improve the accuracy and optimize the model with applications in sEMG signal (...)
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