Open Access

ARTICLE

Predicting Drying Performance of Osmotically Treated Heat Sensitive Products Using Artificial Intelligence

S. M. Atiqure Rahman^1,*, Hegazy Rezk^2,3, Mohammad Ali Abdelkareem^1,4, M. Enamul Hoque⁵, Tariq Mahbub⁶, Sheikh Khaleduzzaman Shah⁷, Ahmed M. Nassef^2,8

1 Department of Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah, UAE
2 College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, 11911, Al-Kharj, Saudi Arabia
3 Electrical Engineering Department, Faculty of Engineering, Minia University, 61517, Minia, Egypt
4 Chemical Engineering Department, Faculty of Engineering, Minia University, 61517, Minia, Egypt
5 Department of Biomedical Engineering, Military Institute of Science and Technology, Dhaka, Bangladesh
6 Department of Mechanical Engineering, Military Institute of Science and Technology, Dhaka, Bangladesh
7 Department of Infrastructure Engineering, Melbourne School of Engineering, The University of Melbourne, Australia
8 Computers and Automatic Control Engineering Department, Faculty of Engineering, Tanta University, Egypt

* Corresponding Author: S. M. Atiqure Rahman. Email: