Advances in Complex Systems

Aims & Scope✦ Inferred from recent articles

This journal publishes research on the application of computational and mathematical methods to complex systems. Topics include physics-informed neural networks for fluid dynamics, federated learning for object detection and image enhancement, quantitative methodologies for analyzing compositional strategies, noninvasive product identification, crowd movement management, numerical schemes for fluid flows, decision support systems for educational resources, fractional population models, structural analysis of tensegrity systems, measurement and control systems for electrical devices, model reduction techniques for linear systems, federated knowledge graph completion, statistical inference for particle models, and water quality prediction using IoT and federated learning.

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Source: OpenAlex · Note: citations accumulate over time so older years appear higher

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Subject Classification