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

An intelligent life prediction approach employing machine learning models for the power transformers

一种利用机器学习模型对电力变压器进行智能寿命预测的方法

Nezami, Md Manzar; Ahmad, Sultan; Salamat, Arshi; Ansari, Md Fahim; Alsubait, Tahani; Taha, Ibrahim B M; Ghatasheh, Mohammad; Mohamed Abdelwahab, Saad A; Flah, Aymen

Harmonic distortion reduction and dynamic stability in PMSG-CHBI wind energy systems via a dual optimization-prediction approach

通过双重优化-预测方法降低PMSG-CHBI风能系统的谐波畸变并提高其动态稳定性

Varghese, Lijo Jacob; Venkatesan, G; Flah, Aymen; Hamdi, Monia

Comparative behavior of steam turbine model for dynamical power system analyses by means of multiple fractional and artificial neural network techniques

利用多种分数阶和人工神经网络技术对蒸汽轮机模型在动态电力系统分析中的性能进行比较研究

Abro, Kashif Ali; Souayeh, Basma; Flah, Aymen

Nonlinear compartmental modeling of COVID-19 with dual dose vaccination using Mason graphs and variational iteration method

利用Mason图和变分迭代法对COVID-19双剂量疫苗接种进行非线性区室模型分析

Ghani, Umer; Ahmad, Bilal; Mahmood, Shahid; Flah, Aymen; Ghatasheh, Mohammad; Pergl, Ivo

Evaluation of electric vehicle performance using driving cycle clustering based on motor-inverter losses and efficiency

基于电机逆变器损耗和效率的驾驶循环聚类法评估电动汽车性能

Abdelali, Khalil; Bendjedia, Bachir; Rizoug, Nassim; Kraiem, Habib; Flah, Aymen

Design and development of ultra-broadband THz metamaterial MIMO antenna with efficient diversity parameters optimized with machine learning for TWPAN applications

针对TWPAN应用,设计并开发了具有高效分集参数的超宽带太赫兹超材料MIMO天线,并利用机器学习技术进行了优化。

Alsharari, Meshari; Sharma, Yogesh; Aliqab, Khaled; Armghan, Ammar; Patel, S K; Flah, Aymen

Square-slotted THz metamaterial-inspired MIMO antenna design optimized with machine learning for TWPAN networks and next-generation communication systems

受方形缝隙太赫兹超材料启发,采用机器学习优化的MIMO天线设计,适用于TWPAN网络和下一代通信系统

Alsharari, Meshari; Sharma, Yogesh; Armghan, Ammar; Aliqab, Khaled; Patel, S K; Flah, Aymen

Efficient and optimized blood cancer detection using engineered graphene-based silicon-TiN-silicon multilayered plasmonic sensor design with behaviour prediction using machine learning

利用基于工程石墨烯的硅-TiN-硅多层等离子体传感器设计,结合机器学习进行行为预测,实现高效优化的血液癌症检测

Armghan, Ammar; Sharma, Yogesh; Flah, Aymen; Alsharari, Meshari; Aliqab, Khaled

Frictional moving load-induced dynamic response of a porous piezoelectric micro/nano plate with superficial parabolic discontinuity

具有表面抛物线不连续性的多孔压电微/纳米板在摩擦移动载荷作用下的动态响应

Meghana, A R; Das, Soumik; Dutta, Rachaita; Gupta, Vipin; Yaylacı, Murat; Almalki, Faisal Muteb K; Ghatasheh, Mohammad; Flah, Aymen

Multiaxial vibration data for blade fault diagnosis in multirotor unmanned aerial vehicles

多旋翼无人机叶片故障诊断的多轴振动数据

Al-Haddad, Luttfi A; Jaber, Alaa Abdulhady; Hamzah, Mohsin N; Kraiem, Habib; Al-Karkhi, Mustafa I; Flah, Aymen