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

S. M. Atiqure Rahman1,*, Hegazy Rezk2,3, Mohammad Ali Abdelkareem1,4, M. Enamul Hoque5, Tariq Mahbub6, Sheikh Khaleduzzaman Shah7, Ahmed M. Nassef2,8

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: email

TSP_CMC_15048.pdf

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