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H. Roohian, A. Abbasi, Z. Hosseini & A. Jahanmiri. (2014) Comparative Modeling and Analysis of the Mass Transfer Coefficient in a Turbulent Bed Contactor using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference Systems. Separation Science and Technology 49:10, pages 1574-1583.
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Talal Al-Wahaibi & FarouqS. Mjalli. (2014) PREDICTION OF HORIZONTAL OIL-WATER FLOW PRESSURE GRADIENT USING ARTIFICIAL INTELLIGENCE TECHNIQUES. Chemical Engineering Communications 201:2, pages 209-224.
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Lokesh Rajulapati, Sivadurgaprasad Chinta, Bala Shyamala & Raghunathan Rengaswamy. (2022) Integration of machine learning and first principles models. AIChE Journal 68:6.
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Lukas von Berg, Antonio Soria-Verdugo, Christoph Hochenauer, Robert Scharler & Andrés Anca-Couce. (2020) Evaluation of heat transfer models at various fluidization velocities for biomass pyrolysis conducted in a bubbling fluidized bed. International Journal of Heat and Mass Transfer 160, pages 120175.
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Sohrab Zendehboudi, Nima Rezaei & Ali Lohi. (2018) Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review. Applied Energy 228, pages 2539-2566.
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Kaveh Shahbaz, Saeid Baroutian, Farouq Sabri Mjalli, Mohd Ali Hashim & Inas Muen AlNashef. (2012) Prediction of glycerol removal from biodiesel using ammonium and phosphunium based deep eutectic solvents using artificial intelligence techniques. Chemometrics and Intelligent Laboratory Systems 118, pages 193-199.
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K. Shahbaz, S. Baroutian, F.S. Mjalli, M.A. Hashim & I.M. AlNashef. (2012) Densities of ammonium and phosphonium based deep eutectic solvents: Prediction using artificial intelligence and group contribution techniques. Thermochimica Acta 527, pages 59-66.
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