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Updated: Jan 10, 2026

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
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机器学习通过利用K-近邻回归和元启发算法来估计超临界CO2中的胺醇溶解度

Kamal Y Thajudeen1, Saad Ali Alshehri2, Mohamed Rahamathulla3

  • 1Department of Pharmacognosy, College of Pharmacy, King Khalid University, Abha, 62529, Saudi Arabia. kthajudeen@kku.edu.sa.

Scientific reports
|November 25, 2025
PubMed
概括

通过超临界处理提高对的溶解度可以提高患者的幸福感. 这项研究开发了先进的基于邻居的组合模型,如GWO-ADA-KNN,以准确预测药物的溶解度和密度,从而使更低的有效剂量.

关键词:
机器学习 机器学习超启发式算法 (Metaheuristic Algorithms) 是一种算法,可以通过可溶性 溶解度 可溶性 溶解度超临界的二氧化碳二氧化碳

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