Работы, цитирующие эту работу

Работ: 4

Работа: An Emotional ANN (EANN) approach to modeling rainfall-runoff process

1. A comprehensive analysis of advanced solar panel productivity and efficiency through numerical models and emotional neural networks

   Ali Basem, Serikzhan Opakhai, Z. M. S. Elbarbary +2

   СтатьяPhotovoltaic System Optimization TechniquesScientific Reports2025Цитирований: 1

   ABIABI:AkademIndex/openalex/2025.article.000068

2. An assessment of greenhouse gases emission from diesel engine by adding carbon nanotube to biodiesel fuel using machine learning technique

   Ali Asghar Moslemi Beirami, Ebrahim Maghsoudlou, Mohammadali Nasrabadi +3

   СтатьяBiodiesel Production and ApplicationsInternational Journal of Low-Carbon Technologies2024Цитирований: 1

   ABIABI:AkademIndex/openalex/2026.other.099385

3. Run-off modelling of pervious and impervious areas using couple SWAT and a novel machine learning model in cross-rivers state Nigeria

   Badiya Salele, Yakubu Aminu Dodo, Dalhatu Aliyu Sani +3

   СтатьяFlood Risk Assessment and ManagementWater Science & Technology2023Цитирований: 1

   ABIABI:AkademIndex/openalex/2026.other.265777

4. In-Depth Analysis of a Solar Panel Performance: Efficiency and Productivity Methods Examination Based on Numerical Model and Emotional Artificial Neural Network

   Ali Basem, Serikzhan Opakhai, Z. M. S. Elbarbary +2

   ПрепринтPhotovoltaic System Optimization TechniquesResearch Square2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.preprint.000123