Artificial Intelligence Based Meteorological Parameter Forecasting for Optimizing Response of Nuclear Emergency Decision Support System

This paper presents a novel artificial intelligence (AI) based approach to predict crucial meteorological parameters such as temperature, pressure, and wind speed, typically calculated from computationally intensive weather research and forecasting (WRF) model. Accurate meteorological data is indis...

תיאור מלא

מידע ביבליוגרפי

מחבר ראשי:	BILAL Ahmed Khan, HASEEB ur Rehman, QAISAR Nadeem, MUHAMMAD Ahmad Naveed Qureshi, JAWARIA Ahad, MUHAMMAD Naveed Akhtar, AMJAD Farooq, MASROOR Ahmad
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Editorial Board of Atomic Energy Science and Technology 2024-10-01
סדרה:	Yuanzineng kexue jishu
נושאים:	prediction of meteorological parameters weather research and forecasting model artificial neural networks nuclear emergency support system
גישה מקוונת:	https://yznkxjs.xml-journal.net/article/doi/10.7538/yzk.2024.youxian.0394
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!