Forecasting regional water demand using multi-fidelity data and harris hawks optimization of generalized regression neural network models–A case study of …

Q Jiang, W Guo, Z Wang, Y Wu, Y Zhao, M Tao… - Journal of Hydrology, 2024 - Elsevier
Accurate forecasting of water demand plays a crucial role in decision makers to effectively
allocate regional water resources and promotes the rational development and utilization of …

Investigating the impact of fiber and yarn structure on yarn tensile properties: a computational approach with artificial neural networks

M Irfan, Z Khaliq, M Faisal, MB Qadir, F Ahmad… - Materials Today …, 2024 - Elsevier
The properties of yarns strongly depend on the fibers and spinning techniques used to
manufacture them. It is imperative to investigate the influence of diverse fibers and yarn …

[HTML][HTML] 纱线条干均匀度检测技术的研究进展

耿聪, 王成群, 徐伟强 - 现代纺织技术, 2024 - journal.zjtextile.com.cn
纱线条干均匀度是评估纱线质量和质地的重要指标, 对纺织品质量, 性能以及加工工艺有着重要
影响, 因此准确快速地测定条干均匀度在纺织工业中具有重要意义. 通过回顾国内外相关文献 …

Sensitivity analysis-based quality optimization strategy for multi-correlation parameters in spinning process

S Hu, D Wu, X Zhang, P Wang - Proceedings of the …, 2024 - journals.sagepub.com
To address the problem of quality optimization of multi-correlation parameters in the
spinning process, this paper proposes a new method based on a sparrow search algorithm …