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

Association between serum uric acid and non-alcoholic fatty liver disease (NAFLD): an observational cross-sectional study in an Egyptian outpatient cohort

血清尿酸与非酒精性脂肪性肝病(NAFLD)的关联:一项埃及门诊队列的观察性横断面研究

Mahmoud, Haitham A; Abd Elghany, W Mohamed; Abdelhakeem, Mohammed; Ahmed, Hasnaa M; Semeda, Nady; Abdelhalim, Safaa M; Mostafa, Alaa M; Zaki, Shaimaa H; Sayed, Manar M; Abdelazim, Omar

Optimal allocation of hybrid PVDG and DSVC devices into distribution grids using a modified NRBO algorithm considering the overcurrent protection characteristics

基于改进的NRBO算法,考虑过电流保护特性,对混合型PVDG和DSVC装置在配电网中的最优配置进行优化。

Belbachir, Nasreddine; Zellagui, Mohamed; Mahmoud, Haitham A; Hashim, Fatma A; Shawi, Radwa El; Yagin, Fatma Hilal; Al-Tam, Riyadh M

Optimizing sustainability performance through digital dynamic capabilities, green knowledge management, and green technology innovation

通过数字化动态能力、绿色知识管理和绿色技术创新优化可持续发展绩效

Al-Husain, Raed Abbas; Jasim, Tarik Ali; Mathew, Viju; Al-Romeedy, Bassam Samir; Khairy, Hazem Ahmed; Mahmoud, Haitham A; Liu, Sijun; El-Meligy, Mohammed A; Alsetoohy, Omar

Revolutionizing proton exchange membrane fuel cell modeling through hybrid aquila optimizer and arithmetic algorithm optimization.

通过混合 Aquila 优化器和算术算法优化,革新质子交换膜燃料电池建模

Singla Manish Kumar, Muhammed Ali S A, Kumar Ramesh, Jangir Pradeep, Khishe Mohammad, Gulothungan G, Mahmoud Haitham A

The prevalence of functional dyspepsia using Rome IV questionnaire among chronic kidney disease patients

使用罗马IV问卷评估慢性肾脏病患者功能性消化不良的患病率

Abdelazim, Omar; Hassnine, Alshymaa A; Fathy, Basma; Mgdy, Ahmed; Semeda, Nady; Mahmoud, Shereen R; Saad, Zeinab M; Mahmoud, Haitham A

Fault Detection and Classification of CIGS Thin-Film PV Modules Using an Adaptive Neuro-Fuzzy Inference Scheme

基于自适应神经模糊推理方案的CIGS薄膜光伏组件故障检测与分类

Eltuhamy, Reham A; Rady, Mohamed; Almatrafi, Eydhah; Mahmoud, Haitham A; Ibrahim, Khaled H

Customer Analysis Using Machine Learning-Based Classification Algorithms for Effective Segmentation Using Recency, Frequency, Monetary, and Time

利用基于机器学习的分类算法,结合最近一次购买时间、购买频率、消费金额和购买时间等因素,进行有效的客户细分分析。

Ullah, Asmat; Mohmand, Muhammad Ismail; Hussain, Hameed; Johar, Sumaira; Khan, Inayat; Ahmad, Shafiq; Mahmoud, Haitham A; Huda, Shamsul