Parameters identification of photovoltaic models using Lambert W-function and Newton-Raphson method collaborated with AI-based optimization techniques: A …

M Abdel-Basset, R Mohamed, IM Hezam… - Expert Systems with …, 2024 - Elsevier
Accurately estimating the unknown parameters of the photovoltaic (PV) models based on the
measured voltage-current data is a challenging optimization problem due to its high …

[HTML][HTML] Binary metaheuristic algorithms for 0–1 knapsack problems: Performance analysis, hybrid variants, and real-world application

M Abdel-Basset, R Mohamed, S Saber… - Journal of King Saud …, 2024 - Elsevier
This paper examines the performance of three binary metaheuristic algorithms when applied
to two distinct knapsack problems (0–1 knapsack problems (KP01) and multidimensional …

Teaching Quality Prediction of University English Courses Based on Machine Learning Technology

Y Li, Y Chen - Journal of Electrical Systems, 2024 - search.proquest.com
Students' academic progress and language proficiency are significantly shaped by the
quality of instruction in English courses at the university level. English teaching quality …

Multi-strategy Enhanced Artificial Rabbits Optimization for Prediction of Grades in Tourism Service Communication Courses

Z Jia, X Qu - 2024 - researchsquare.com
Predicting students' grades through their classroom behavior is a longstanding concern in
education. Recently, artificial intelligence has shown remarkable potential in this area. In this …

Research on Aptative Fso Channel Estimation Based on Deep Learning

R Tan, X Dong, B Wei, R Yang - Available at SSRN 4893231 - papers.ssrn.com
To further enhance the performance of free-space optical (FSO) communication links in
complex and dynamic environments, an adaptive FSO channel estimation scheme that …