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  1. 41

    Dynamic analysis of malicious behavior propagation based on feature selection in software network by Huajian Xue, Huajian Xue, Yali Wang, Qiguang Tang

    Published 2024-11-01
    “…To safeguard data assets from the encroachment of malware, it is essential to conduct a dynamic analysis of various information propagation behaviors within software. …”
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    Article
  2. 42

    Application of Fuzzy Bayesian Network in Dynamic Risk Analysis of Explosion in Process Industries by Tahereh Eskandari, Iraj Mohammadfam

    Published 2025-04-01
    “…A fuzzy logic approach was used to quantify the probability of essential events, and the Bayesian network (BN) was employed for dynamic risk analysis. …”
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    Article
  3. 43

    GRAPH MODELS OF THE DYNAMICS OF NETWORK ATTACKS IN AUTOMATED SYSTEMS OF INTERNAL AFFAIRS BODIES by E. S. Ovchinnikova

    Published 2021-04-01
    “…The method for solving this problem is a mathematical simulation of implementing network attacks in protected automated systems of internal affairs bodies by constructing and describing graph models of typical network attacks on a confidential information resource in the dynamics of  their implementation. …”
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    Article
  4. 44

    Effect of time-varying delays' dynamic characteristics on the stability of Hopfield neural networks by Xudong Hai, Chengxu Chen, Qingyun Wang, Xiaowei Ding, Zhaoying Ye, Yongguang Yu

    Published 2025-03-01
    “…This manuscript investigated the stability of Hopfield neural networks with time-varying transmission delays and leakage delays, and specially discussed the impact of the time-varying delays' dynamic characteristics on network stability. …”
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    Article
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  6. 46

    Link between dynamic capability and sustainable entrepreneurship: The mediation role of digital networking by Sofyan Ashari Nur, Muafi Muafi

    Published 2025-01-01
    “…This study also analyses the effect of digital networking on sustainable entrepreneurship and the mediating role of digital networking on the influence of dynamic capability parts on sustainable entrepreneurship. …”
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    Article
  7. 47

    Multiscale Graph Transformer Network With Dynamic Superpixel Pyramid for Hyperspectral Image Classification by Tingting Wang, Yao Sun, Yunfeng Hu

    Published 2025-01-01
    “…To address these limitations, we propose a multi-scale graph transformer network (MSGTN), which captures spatial features at different scales through multiscale graph convolutional networks (GCNs) with adaptive graph structures. …”
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    Article
  8. 48

    DMA-Net: Dynamic Morphology-Aware Segmentation Network for Remote Sensing Images by Chao Deng, Haojian Liang, Xiao Qin, Shaohua Wang

    Published 2025-07-01
    “…To address these limitations, we propose DMA-Net, a Dynamic Morphology-Aware Segmentation Network built on an encoder–decoder architecture. …”
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    Article
  9. 49

    Dynamic Analysis and FPGA Implementation of Fractional-Order Hopfield Networks with Memristive Synapse by Andrés Anzo-Hernández, Ernesto Zambrano-Serrano, Miguel Angel Platas-Garza, Christos Volos

    Published 2024-10-01
    “…When integrated into systems like Hopfield neural networks, memristors enable the study of complex dynamic behaviors, such as chaos and multistability. …”
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    Article
  10. 50

    Adopting Graph Neural Networks to Understand and Reason About Dynamic Driving Scenarios by Peng Su, Conglei Xiang, Dejiu Chen

    Published 2025-01-01
    “…With advances in Deep Neural Networks (DNN), Automated Driving Systems (ADS) enable the vehicle to perceive their surroundings in dynamic driving scenarios and perform behaviors by collecting operational data from sensors such as LiDAR and cameras. …”
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    Article
  11. 51

    An Omni-Dimensional Dynamic Convolutional Network for Single-Image Super-Resolution Tasks by Xi Chen, Ziang Wu, Weiping Zhang, Tingting Bi, Chunwei Tian

    Published 2025-07-01
    “…To address these challenges, we propose an Omni-dimensional Dynamic Convolutional Network (ODConvNet) tailored for SISR tasks. …”
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    Article
  12. 52

    Dynamic gene regulatory networks drive seed dormancy and germination of Pinus tabuliformis by Yanjun Li, Duxian Lu, Xinxiu Zuo, Yanyan Zhang, Yufen Bu, Shihui Niu, Jinxing Lin, Yaning Cui

    Published 2025-08-01
    “…WGCNA (Weighted Gene Co-expression Network Analysis) further pinpointed a key module comprising 153 genes strongly correlated with germination, of which 24 were prioritized as putative regulators. …”
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    Article
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  15. 55

    Scheduling a Fleet of Dynamic EV Chargers for Maximal Profile by Shorooq Alaskar, Mohamed Younis

    Published 2024-11-01
    “…To address these challenges, dynamic EV-to-EV charging technology has emerged. …”
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    Article
  16. 56
  17. 57

    Adapting physics-informed neural networks to improve ODE optimization in mosquito population dynamics. by Dinh Viet Cuong, Branislava Lalić, Mina Petrić, Nguyen Thanh Binh, Mark Roantree

    Published 2024-01-01
    “…Physics informed neural networks have been gaining popularity due to their unique ability to incorporate physics laws into data-driven models, ensuring that the predictions are not only consistent with empirical data but also align with domain-specific knowledge in the form of physics equations. …”
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  18. 58

    2D Spatiotemporal Hypergraph Convolution Network for Dynamic OD Traffic Flow Prediction by Cheng Fang, Li Wang

    Published 2025-01-01
    “…Initially, temporal characteristics of traffic flow between OD pairs are captured using a 1D convolution neural network (1D-CNNs). Subsequently, a 2D hypergraph convolutional network is introduced to uncover spatial correlations in OD flow patterns. …”
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    Article
  19. 59

    Rolling Bearing Fault Diagnosis Based on Stacked Autoencoder Network with Dynamic Learning Rate by Hong Pan, Wei Tang, Jin-Jun Xu, Maxime Binama

    Published 2020-01-01
    “…Thus, this paper proposes a dynamic learning rate adjustment approach for the stacked autoencoder network. …”
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  20. 60

    The analysis of dynamic evaluation of online shopping satisfaction based on the recurrent neural network model by Cheng Zhao, Yi Xun

    Published 2025-07-01
    “…To address this problem, the proposed Gated Recurrent Unit (GRU) introduces a gating mechanism to capture long-term dependencies in sequential data. Building on this, a Dynamic Weighted-GRU (DW-GRU) model is proposed, incorporating a dynamic weighting mechanism based on GRU to adapt to the dynamic changes in online shopping satisfaction. …”
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