Advanced Technologies in Various Fields

Últimos artículos

• StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold

  Zhizhong Li, Sina Sajadmanesh, Jingtao Li, Lingjuan Lyu · 3 de abril de 2026

  Low-rank adaptation (LoRA) has been widely adopted as a parameter-efficient technique for fine-tuning large-scale pre-trained models. However, it still lags behind full fine-tuning in performance, partly due to its insufficient exploitation of the geometric structure underlying low-rank manifolds. I…

• Improving a Hybrid Graphsage Deep Network for Automatic Multi-objective Logistics Management in Supply Chain

  Mehdi Khaleghi, Nastaran Khaleghi, Sobhan Sheykhivand, Sebelan Danishvar · 18 de noviembre de 2025

  Systematic logistics, conveyance amenities and facilities as well as warehousing information play a key role in fostering profitable development in a supply chain. The aim of transformation in industries is the improvement of the resiliency regarding the supply chain. The resiliency policies are req…

• Study on Supply Chain Finance Decision-Making Model and Enterprise Economic Performance Prediction Based on Deep Reinforcement Learning

  Shiman Zhang, Jinghan Zhou, Zhoufan Yu, Ningai Leng · 4 de noviembre de 2025

  To improve decision-making and planning efficiency in back-end centralized redundant supply chains, this paper proposes a decision model integrating deep learning with intelligent particle swarm optimization. A distributed node deployment model and optimal planning path are constructed for the suppl…