A Fractal and Numerical Simulation Coupled Study of Fracture Network during Coal Mining Excavation by Yanan Gao, Feng Gao, Man-chu Ronald Yeung

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A Fault Early Warning Method of Train BatteryBased on Real-time Network Data by XU Yong, LIU Yong, DAI Jisheng, ZHANG Shiqiang

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A Dynamic Multi-Graph Convolutional Spatial-Temporal Network for Airport Arrival Flow Prediction by Yunyang Huang, Hongyu Yang, Zhen Yan

“…It enables the proposed model to dynamically capture informative spatial correlations according to the input traffic features. In the temporal dimension, an enhanced self-attention mechanism is utilized to mine the arrival flow evolution patterns. …”
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Leveraging Image Analysis and Deep Convolutional Neural Networks for Cutting-Edge Malware Detection and Mitigation by Mohammad Mahmood Otoom, Ahmad Mahmoud Etoom

“…Signature-based detection techniques are now proven unable to cope with the extremely high rate of malware variants' evolution. For this reason, this research suggests a novel method of turning raw network traffic data input (APKS, CSVS, and PCAPS) into visual representations for better malware classification. …”
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Analysis on spatial correlation characteristics of transportation carbon intensity of China based on complex network theory by XIE Qing;LIU Jiabao

“…With the help of spatial econometric analysis and complex network theory, this paper quantifies the transportation carbon intensity of provinces in China from 2009 to 2021, analyzes its spatial and temporal characteristics by gini coefficient and kernel density estimation, and studies the structural evolution of spatial correlation networks for every provinces′ transportation carbon intensity by using improved gravity model and network characteristic indices. …”
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Time Series Prediction of Aerodynamic Noise Based on Variational Mode Decomposition and Echo State Network by Zhoufanxing Lei, Haiyang Meng, Jing Yang, Bin Liang, Jianchun Cheng

“…Here, we propose a method combining variational mode decomposition (VMD) and echo state network (ESN) to accurately predict the time series of aerodynamic noise induced by flow around a cylinder. …”
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Deep Learning for Intelligent and Automated Network Slicing in 5G Open RAN (ORAN) Deployment by Shu-Ping Yeh, Sonia Bhattacharya, Rashika Sharma, Hassnaa Moustafa

“…With this evolution towards AI-based features in the network, the Open RAN (ORAN) specification expanded the network functions virtualization to the RAN intelligence by introducing RAN Intelligent Controller (RIC) to enable AI applications for the network functions. …”
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Spatiotemporal fusion knowledge tracking model based on spatiotemporal graph and fourier graph neural network by Yinquan Liu, Weidong Ji, Guohui Zhou

“…The model constructs spatiotemporal graphs by integrating information from the time dimension and the spatial dimension through information extracted from the cognitive and behavioral perspectives, resolves the compatibility problem between the two, and processes spatiotemporal dependencies features in the frequency domain through Fourier Graph Neural Network (FourierGNN) to capture complex spatiotemporal relationships, and improve computational efficiency and accurate modeling of spatiotemporal features. …”
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High-Order Graphical Topology Analysis of Brain Functional Connectivity Networks Using fMRI by Qinrui Ling, Aiping Liu, Yu Li, Taomian Mi, Piu Chan, B. T. Thomas Yeo, Xun Chen

“…In this paper, we capture high-order topological features via a graphical topology analysis framework for brain connectivity networks derived from functional Magnetic Resonance Imaging (fMRI). …”
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Evolutionary Trajectories of Consciousness: From Biological Foundations to Technological Horizons by Evgenii Gusev, Alexey Sarapultsev, Maria Komelkova

“…By clarifying why consciousness arose and how subjectivity shapes complex networks, this perspective also lays the groundwork for exploring possible nonbiological extensions of subjectivity.…”
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Catchment Coevolution and the Geomorphic Origins of Variable Source Area Hydrology by David G. Litwin, Gregory E. Tucker, Katherine R. Barnhart, Ciaran J. Harman

“…Over long timescales, runoff plays an essential role in shaping these same features through surface erosion. This feedback between erosion and runoff generation suggests that modeling long‐term landscape evolution together with dynamic runoff generation could provide insight into hydrological function. …”
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Graph-Aware Multimodal Deep Learning for Classification of Diabetic Retinopathy Images by Amina Zedadra, Ouarda Zedadra, Mahmoud Yassine Salah-Salah, Antonio Guerrieri

“…DRdiag integrates multiple modalities: the Fundus images and the duration of disease evolution which is an important factor in the diagnosis of DR as the duration of the disease directly influences the onset and progression of retinal lesions, leveraging two distinct models: a Convolutional Neural Network (CNN) based on DenseNet121 for image feature extraction and a Graph Neural Network (GNN) for capturing complex relationships between patient features. …”
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Perturbation-response analysis of in silico metabolic dynamics revealed hard-coded responsiveness in the cofactors and network sparsity by Yusuke Himeoka, Chikara Furusawa

“…This pronounced responsiveness is a characteristic feature of metabolic dynamics, especially since such strong responses are seldom seen in toy models of the metabolic network. …”
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Unveiling Hidden Dynamics in Air Traffic Networks: An Additional-Symmetry-Inspired Framework for Flight Delay Prediction by Chao Yin, Xinke Du, Jianyu Duan, Qiang Tang, Li Shen

“…The framework first employs a DenseNet-LSTM module for deep spatio-temporal feature extraction, where DenseNet captures the intricate spatial correlations between airports, and LSTM models the temporal evolution of delays and meteorological conditions. …”
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Precision Recognition of Rock Thin Section Images With Multi‐Head Self‐Attention Convolutional Neural Networks by Pengfei Lv, Weiying Chen, Xinyu Zou

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Evolutionary Prediction of Nonstationary Event Popularity Dynamics of Weibo Social Network Using Time-Series Characteristics by Xiaoliang Chen, Xiang Lan, Jihong Wan, Peng Lu, Ming Yang

“…However, the historical patterns cannot cover the systematical time-series dynamic and volatility features in the prediction problems of a social network. …”
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Dynamics of recurrent neural networks with piecewise linear activation function in the context-dependent decision-making task by Kononov, Roman Andreevich, Maslennikov, O.  V., Nekorkin, Vladimir Isaakovich

“…An ensemble of neural networks with piecewise linear activation functions was constructed. …”
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From Sharing Economy to Sharing Cities Networks: Collaborative/Collective (Re)Actions of Cities to Urban Platformization by Monica Bernardi, Mayo Fuster Morell

“…This is followed by an analysis of cities networks practices. Three typologies of networks are identified – “forerunners”, “dealing with” and “newcomers” – with the focus on an analysis of the “dealing with” category. …”
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Sociological Analysis of Gender Differences in Suicide Ideation on Instagram: A Social Network Analysis Approach Using Big Data by Somayeh Mirzaee, Akbar Aliverdinia

“…It will leverage Krohn’s network theory and its evolution, employing big data and social network analysis, while also offering policy implications.  …”
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DepthFormer: Depth‐Enhanced Transformer Network for Semantic Segmentation of the Martian Surface From Rover Images by Yuan Ma, Zhaojin Li, Bo Wu, Ran Duan

“…The stereo images acquired by the Zhurong rover along its traverse are used for training and testing the DepthFormer network. Different from regular deep‐learning networks only dealing with three bands (red, green and blue) of images, the DepthFormer incorporates the depth information available from the stereo images as the fourth band in the network to enable more accurate segmentation of various surface features. …”
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