Results 101 to 110 of about 27,443 (153)

Optimization for the preparation process of silver nanoparticles and their biological activity. [PDF]

Zhong Nan Da Xue Xue Bao Yi Xue Ban, 2022
Zou J, Luo W, Wang S, Wang Y.
europepmc   +1 more source

[Optimization of Comprehensive Prevention and Control Strategies for Myopia From the Persepctive of the Social Ecological Systems Theory]. [PDF]

Sichuan Da Xue Xue Bao Yi Xue Ban
Chen Z, Zhu M, Yue L.
europepmc   +1 more source

AI驱动的网管支撑系统性能优化算法研究

Dianxin kexue
当前网管支撑系统面临着业务规模扩大与服务需求多样化的挑战，传统的人工经验与固定规则已难以实现系统性能的精准优化。提出一种AI驱动的网管系统性能优化算法。首先通过分析网管系统特征构建了性能优化问题模型，形式化定义了优化目标与约束条件；其次设计了基于AI的优化算法框架，实现了从系统状态感知与优化决策到资源调度的智能化闭环；最后在真实网管环境下进行了对比实验。结果表明，该算法在系统吞吐量与资源利用率以及任务响应时间等关键指标上均有一定幅度的提升，验证了AI驱动优化方案的可行性与有效性。
任高强, 崔云龙, 陈昶旭, 郭昱炜, 赵军生   +4 more
doaj  

[Expert recommendations on the first-line use and optimization plan of nucleos(t)ide analogues in the context of functional cure for chronic hepatitis B]. [PDF]

Zhonghua Gan Zang Bing Za Zhi
Liver Cancer Study Group, Chinese Society of Hepatology, Chinese Medical Association.   +2 more
europepmc   +1 more source

[Collaborative motion control method for dual-arm surgical robots based on hybrid multi-stage optimization]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Lin B, Li K.
europepmc   +1 more source

[Research progress on the mechanisms and optimization strategies of mesenchymal stem cell-derived exosomes in the treatment of liver diseases]. [PDF]

Zhonghua Gan Zang Bing Za Zhi
Li XR, Niu B, Zhang LY.
europepmc   +1 more source

[Prognosis-guided optimization of intensity-modulated radiation therapy plans for lung cancer]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao
Li H, Song T, Liu J, Li Y, Jiang Z, Dou W, Zhou L.   +6 more
europepmc   +1 more source

[Establishment of an gastric dysfunction and depression comorbidity model simulating clinical etiology in mice using a combined stress protocol]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao
Huang Q, Shen W, Hu J, Ma H, Hu Y, Zhang C, Shen G, Wang H.   +7 more
europepmc   +1 more source

基于GWO-XGBoost的工业污水水质关键数据预测算法

Gongye shui chuli
为解决XGBoost模型参数调整复杂和预测水质数据准确率低的问题，设计了一种基于灰狼算法（GWO）优化XGBoost的预测算法。首先利用灰狼优化算法全局寻参收敛能力强的优点，使用GWO优化XGBoost的超参数（最大生成树数目、学习率以及树的最大深度）进行优化，获取XGBoost的最佳预测表现。其次通过对水质关键数据的预处理提高数据的可靠性，使用多种算法进行对比分析实验。结果表明：与LSTM、未经GWO优化参数的XGBoost相比，采用灰狼算法优化后的XGBoost模型具有较好的非线性预测能力 ...
牛景辉
doaj  

[Research progress and optimization strategies for early screening of type 1 diabetes]. [PDF]

Zhongguo Dang Dai Er Ke Za Zhi
Song QJ, Sun Y.
europepmc   +1 more source