A Scalable Data-Driven Surrogate Model for 3D Dynamic Wind Farm Wake Prediction Using Physics-Inspired Neural Networks and Wind Box Decomposition by Qiuyu Lu, Yuqi Cao, Pingping Xie, Ying Chen, Yingming Lin

“…A physics-inspired NN architecture featuring an autoencoder for spatial feature extraction and latent space dynamics for temporal evolution is introduced, motivated by the time–space decoupling structure observed in the Navier–Stokes equations. …”
Get full text

NSA-CHG: An Intelligent Prediction Framework for Real-Time TBM Parameter Optimization in Complex Geological Conditions by Youliang Chen, Wencan Guan, Rafig Azzam, Siyu Chen

Get full text

Competitive pattern of global tin products trade from the perspective of industry chain by Yuning Jin, Yuning Jin, Yuning Jin, Tao Dai, Tao Dai

“…This paper selects key competitive countries and relationships, examines the characteristics of specific communities, and analyzes the network’s structural features and evolution patterns over time. …”
Get full text

A Comparative Analysis of Time Series Forecasting Models and the Novel ELSTMD Approach for Renewable Energy Generation by Yousef Alkhanafseh, Tahir Cetin Akinci, Alfredo A. Martinez-Morales

Get full text

Spatial Analysis of Carbon Metabolism in Different Economic Divisions Based on Land Use and Cover Change (LUCC) in China by Cui Yuan, Yaju Liu, Jingzhao Lu, Chengyi Guo, Tingting Quan, Wei Su

“…The standard deviation ellipse analytic techniques were also employed to research the spatiotemporal evolution features of carbon flow in various economic zones. …”
Get full text

AutoLDT: a lightweight spatio-temporal decoupling transformer framework with AutoML method for time series classification by Peng Wang, Ke Wang, Yafei Song, Xiaodan Wang

“…TS-separable linear self-attention mechanism and convolutional feedforward network achieve feature extraction in a lightweight way by decoupling temporal and spatial features of time series. …”
Get full text

Urban rail transit resilience under different operation schemes: A percolation-based approach by Tianlei Zhu, Xin Yang, Yun Wei, Anthony Chen, Jianjun Wu

“…Our model accounts for the state evolution of different hierarchical structures within the network and identifies nonlinear features. …”
Get full text

Le rôle de la topologie d’Internet dans les territoires en conflit en Ukraine, une approche géopolitique du routage des données by Louis Pétiniaud, Loqman Salamatian

“…We draw from this literature to illustrate how the network of Autonomous Systems is linked to territorial conflicts. …”
Get full text

Hypergraph-Driven High-Order Knowledge Tracing with a Dual-Gated Dynamic Mechanism by Fanglan Ma, Changsheng Zhu, Peng Lei

Get full text

CGD-CD: A Contrastive Learning-Guided Graph Diffusion Model for Change Detection in Remote Sensing Images by Yang Shang, Zicheng Lei, Keming Chen, Qianqian Li, Xinyu Zhao

“…Subsequently, a diffusion model is employed to balance the states of nodes within the graph, enabling the co-evolution of adjacency relationships and feature information, thereby aggregating higher-order feature information to obtain superior feature embeddings. …”
Get full text

Application of a Multi‐Layer Artificial Neural Network in a 3‐D Global Electron Density Model Using the Long‐Term Observations of COSMIC, Fengyun‐3C, and Digisonde by Wang Li, Dongsheng Zhao, Changyong He, Yi Shen, Andong Hu, Kefei Zhang

“…However, it is still a challenging mission to develop a model with high predictability that captures the horizontal‐vertical features of ionospheric electrodynamics. In this study, multiple observations during 2005–2019 from space‐borne global navigation satellite system (GNSS) radio occultation (RO) systems (COSMIC and FY‐3C) and the Digisonde Global Ionosphere Radio Observatory are utilized to develop a completely global ionospheric three‐dimensional electron density model based on an artificial neural network, namely ANN‐TDD. …”
Get full text

VPN Traffic Analysis: A Survey on Detection and Application Identification by Yasameen Sajid Razooqi, Adrian Pekar

“…We synthesize reported performance results, analyze trends in feature and methodology evolution, and highlight the prevalent use and limitations of benchmark datasets. …”
Get full text

Enterprise Digital Transformation Strategy: The Impact of Digital Platforms by Qiong Huang, Yifan Tang

“…Throughout this process, the interactive behaviors and strategic choices of enterprises embody the features of information flow and dynamic adjustment within the network. …”
Get full text

STGATN: a wind speed forecasting method based on geospatial dependency by Xingtong Ge, Ling Peng, Yi Yang, Cang Qin, Jiahui Chen, Hongze Liu, Zhaobo Li

“…Finally, a spatiotemporal graph attention neural network is designed to effectively extract and fuse spatiotemporal features, balancing time series trends and cycles with spatial dependency. …”
Get full text

Information coevolution spreading model and simulation based on self-organizing multi-agents by Guoxin Ma, Kang Tian, Hongbo Sun, Hong Zhao, Yongyan Wang

Get full text

Social and geographical postulates of the formation of a new administrative-territorial structure of Ukraine by Viktoria Yavorska, Kateryna Kolomiyets

“…Because society does not develop in isolation, but in the natural environment, in order to maintain its harmonious development is necessary to form natural ecological safety carcass of regions – regional ecological network. This is the fifth socio-geographic postulate. …”
Get full text

Construction of GAN‐RES and Its Application to Small Sample Fusulinid Fossil Recognition by Jiahui Xu, Yang Lu, Xu Xu

Get full text

Dynamical opinion clusters exploration suite: Modeling social media opinion dynamics by Henrique Ferraz de Arruda, Kleber Andrade Oliveira, Yamir Moreno

“…To address the challenges posed by the multifaceted and multidisciplinary nature of this research, coupled with the recent scarcity of data, computational simulation has emerged as a key tool for understanding opinion dynamics in social networks. This paper presents a Python library, DOCES, designed to simulate essential features of real-world social networks. …”
Get full text

Progress and Challenges in Morphodynamics of Braided Rivers in Source Region of Yangtze River by LI Zhi-wei, OUYANG Wei-qi

Get full text

Introduction to deep learning methods for multi‐species predictions by Yuqing Hu, Sara Si‐Moussi, Wilfried Thuiller

Get full text