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Optimal fragrances formulation using a deep learning neural network architecture: A novel systematic approach., , , , , and . Comput. Chem. Eng., (2021)Modelling and simulation of pear drying., , and . Appl. Math. Comput., 192 (1): 69-77 (2007)A Robust Scientific Machine Learning for Optimization: A Novel Robustness Theorem., , , , , , and . CoRR, (2022)Chromatographic studies of n-Propyl Propionate: Adsorption equilibrium, modelling and uncertainties determination., , , , , , , and . Comput. Chem. Eng., (2018)Two-level optimization of an existing SMB for p-xylene separation., and . Comput. Chem. Eng., 29 (10): 2215-2228 (2005)A long short-term memory based Quasi-Virtual Analyzer for dynamic real-time soft sensing of a Simulated Moving Bed unit., , , , , , and . Appl. Soft Comput., (2022)Surface B-splines fitting for speeding up the simulation of adsorption processes with IAS model., , , and . Comput. Chem. Eng., 35 (7): 1186-1191 (2011)Optimization of a True Moving Bed unit and determination of its feasible operating region using a novel Sliding Particle Swarm Optimization., , , , , , , , and . Comput. Ind. Eng., (2019)Transient and steady-state models for simulated moving bed processes: numerical solutions., and . Comput. Chem. Eng., 28 (9): 1725-1741 (2004)Modelling and simulation in chemical engineering: Tools for process innovation., and . Comput. Chem. Eng., 29 (6): 1167-1183 (2005)