Analysis of Cascading Failures and Recovery in Freeway Network Under the Impact of Incidents by Xuan Zhang, Shuaijie Zhang, Wang Luo, Jinjun Tang

“…The evolution of network cascading failures was analyzed under various scenarios of attacks caused by traffic incidents. …”
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Spatial Correlation Network Characteristics of Comprehensive Transportation Green Efficiency in China by Qifei Ma, Sujuan Li, Zhenchao Zhang

“…Accurately characterizing the structural features of the spatial correlation network of comprehensive transportation green efficiency (CTGE) is essential for achieving balanced regional transportation development and eliminating regional disparities. …”
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Application of Recurrent Neural Networks in Uncertainty Analysis of Sheet Metal Forming by Cruz Daniel, Parreira Tomás, Marques Armando, Prates Pedro, Oliveira Marta, Neto Diogo, Santos Abel, Amaral Rui, Barbosa Manuel, Pereira André

“…The results from the simulated tests can be considered as sequential data, allowing their evaluation using recurrent neural networks (RNNs), which are particularly suited for modelling temporal or ordered datasets. …”
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An Open Conformance Test System towards the Standardization of Wireless Sensor Networks by Zhonghua Zhao, Wei Huangfu, Linmin Sun, Zhiqiang Shi, Wei Gan

“…A novel conformance test system for IPv6-based WSNs is designed and implemented, which is open, flexible, full featured, and practical. The conformance test system is suitable for the protocol evolution and the various hardware interfaces for the sensor nodes. …”
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An Adapter and Segmentation Network-Based Approach for Automated Atmospheric Front Detection by Xinya Ding, Xuan Peng, Yanguang Xue, Liang Zhang, Tianying Wang, Yunpeng Zhang

“…An intelligent adapter module that performs adaptive feature fusion, automatically weighting and combining multi-source meteorological inputs (including temperature, wind fields, and humidity data) to maximize their synergistic effects while minimizing feature conflicts; the utilized network achieves an average improvement of over 4% across various metrics. 2. …”
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Structure, evolution, and roles of MYB transcription factors proteins in secondary metabolite biosynthetic pathways and abiotic stresses responses in plants: a comprehensive review by Ziming Ma, Ziming Ma, Lanjuan Hu, Yu Zhong

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Research on deployment of pooled vBRAS in cloud IP metropolitan area network by Xia GONG, Huanan CHEN, Yongqing ZHU, Shizhang YUAN, Bing YANG

“…Cloud-network integration was the main development direction of IP carrier networks.As the closest network to users, IP MAN has rich service features and it is also an important test field for network cloudification.Facing the carrier requirements of multiple access and the changes of traffic direction, IP MAN was transformed from the traditional north-south tree architecture to the Spine-Leaf architecture to meet the service requirements, such as fixed-mobile convergence and multi-cloud access scenarios.Based on the evolution of the cloud IP MAN, the deployment scheme of pooled vBRAS and key technologies were introduced, and technical reference for the large-scale commercial deployment and technology evolution of vBRAS were provided.…”
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Theoretical and Methodological Foundations for Studying Network Mechanisms of Innovative Development in the Republic of Belarus by S. Y. Solodovnikov

“…In this case, the author has refused traditional contrast of stable, essential, regularly repeating connections and relationships in the system to random, chaotic processes, and he has proceeded from the need to consistently apply a law of hierarchical compensation, as well as taking into account such features of the development of the modern economy as the rapid evolution of network technologies, further development of the risk economy, emergence of new challenges for traditional (including old industrial) industries. …”
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The application of irreversible genomic states to define and trace ancient cell type homologies by Oleg Simakov, Günter P. Wagner

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Associative conditioning in gene regulatory network models increases integrative causal emergence by Federico Pigozzi, Adam Goldstein, Michael Levin

“…Our analysis reveals how learning can reify the existence of an agent emerging over its parts and suggests that this property is favored by evolution. Our data have implications for the scaling of diverse intelligence, and for a biomedical roadmap to exploit these remarkable features in networks with relevance for health and disease.…”
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Link Scheduling in Satellite Networks via Machine Learning Over Riemannian Manifolds by Joarder Jafor Sadique, Imtiaz Nasim, Ahmed S. Ibrahim

“…Furthermore, we introduce a separate model, the convolutional neural network (CNN) over Riemannian manifolds, which captures geometric relationships between satellites and users by extracting spatial features from the network topology across all links. …”
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Longitudinal evaluation of common and unique brain-networks in variants of primary progressive aphasia by Rajan Kashyap, Rose Dawn Bharath, Changsong Zhou, Kyrana Tsapkini, John E. Desmond, SH Annabel Chen, Kaviraja Udupa, PT Sivakumar, Sagarika Bhattacharjee

“…Additionally, examining the evolution of these networks is key to elucidating disease progression. …”
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A Local World Evolving Model for Energy-Constrained Wireless Sensor Networks by Nan Jiang, Huan Chen, Xiang Xiao

“…This approach depicts the evolution of the network as having a topological feature that is not completely exponential and not completely power law; instead, it behaves between them. …”
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Random walk based snapshot clustering for detecting community dynamics in temporal networks by Filip Blašković, Tim O. F. Conrad, Stefan Klus, Nataša Djurdjevac Conrad

“…Abstract The evolution of many dynamical systems that describe relationships or interactions between objects can be effectively modeled by temporal networks, which are typically represented as a sequence of static network snapshots. …”
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Protecting IOT Networks Through AI-Based Solutions and Fractional Tchebichef Moments by Islam S. Fathi, Hanin Ardah, Gaber Hassan, Mohammed Aly

“…The effectiveness of our proposed technique for detecting IoT threats was evaluated using the UNSW-NB15 and Bot-IoT datasets, featuring illustrative cases of common IoT attack scenarios, such as DDoS, identity spoofing, network reconnaissance, and unauthorized data access. …”
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PB-STR: A spatiotemporal transformer network for multi-behavior recognition of pigs by Yufan Hu, Xiaobo Wang, Rui Mao, Yusen Guo, Xianyao Zhu, Meili Wang

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Acoustic emission localization model of concrete material based on convolutional neural network by DENG Yongdong, ZHOU Jingren, LU Xiang, CHEN Jiangkang

“…Deep learning has a strong feature extraction capability and generalization ability. …”
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Analysis of the overall development trends and hotspots in the research field of the human gut virome by Yidi Zhang, Ting Mei, Minhui Wang, Chunxia Huang, Hanzhi Yi, Yu Zhan, Sen Yang, Han Wang, Qiulong Yan, Ruochun Guo, Changming Chen

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Lithium-Ion Battery State of Health Estimation Based on CNN-LSTM-Attention-FVIM Algorithm and Fusion of Multiple Health Features by Guoju Liu, Zhihui Deng, Yonghong Xu, Lianfeng Lai, Guoqing Gong, Liang Tong, Hongguang Zhang, Yiyang Li, Minghui Gong, Mengxiang Yan, Zheng Ye

“…The model adopts the collaborative architecture of a convolutional neural network and time series module, strengthens the cross-level feature interaction by introducing a multi-level attention mechanism, then uses the FVIM optimization algorithm to optimize the key parameters to realize the overall model architecture. …”
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MagNet: Automated Magnetic Mineral Grain Morphometry Using Convolutional Neural Network by Zhaowen Pei, Liao Chang, Pengfei Xue, Richard J. Harrison

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