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J. Zhang

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Open access Aug 2026

Research on the Impact of Ant Colony Algorithm Optimization Based on Highway Enterprise Operation Data on Cost Control of Logistics Path Planning

This study investigates logistics path planning cost control through an optimized Ant Colony Algorithm driven by highway enterprise operational data and provides an effective engineering solution for intelligent logistics management, transportation optimization, and data-driven supply chain operations.

J.-G. Zhang, X.-C. Li, S. Zhang et al. · 0 citations
Open access Aug 2026

Constructing a Personalized Learning Path Recommendation Model Based on Federated Learning

A personalized learning path recommendation model based on federated learning that effectively balances global generalization and local adaptation while maintaining privacy protection is constructed, providing a feasible solution for secure and intelligent recommendation in distributed learning environments and offering technical insights for collaborative intelligence in privacy-sensitive electromagnetic information systems.

J. Zhang · 0 citations