日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Application of Unsupervised Learning for the Evaluation of Aerogels' Efficiency towards Dye Removal-A Principal Component Analysis (PCA) Approach

应用无监督学习评价气凝胶对染料去除的效率——一种主成分分析(PCA)方法

Younes, Khaled; Kharboutly, Yahya; Antar, Mayssara; Chaouk, Hamdi; Obeid, Emil; Mouhtady, Omar; Abu-Samha, Mahmoud; Halwani, Jalal; Murshid, Nimer

Towards Understanding Aerogels' Effect on Construction Materials: A Principal Component Analysis Approach

探究气凝胶对建筑材料的影响:一种主成分分析方法

Obeid, Emil; Chaouk, Hamdi; Mezher, Rabih; Gazo Hanna, Eddie; Mouhtady, Omar; Halwani, Jalal; Younes, Khaled

The Application of Principal Component Analysis (PCA) for the Optimization of the Conditions of Fabrication of Electrospun Nanofibrous Membrane for Desalination and Ion Removal

主成分分析(PCA)在电纺纳米纤维膜制备条件优化中的应用,用于海水淡化和离子去除

Younes, Khaled; Mouhtady, Omar; Chaouk, Hamdi; Obeid, Emil; Roufayel, Rabih; Moghrabi, Ahmad; Murshid, Nimer