… In this paper, a process model was developed to simulate the biomass conversion process.
… Then, machine learning was used to build a high-quality prediction model and accordingly …

… oil shale semi-coke. Effects of combustion temperature and oxygen concentration on kinetics
of oil … A kinetic model considering oxygen concentration effects was developed. It was found …

… the application of machine learning algorithms, hybrid … of smart optimization manufacturing
in petrochemical industries[J… Hybrid modelling and kinetic estimation for polystyrene batch …

… Cracking furnace is the key equipment in petrochemical industry. Optimization of cracking
… Since pyrolysis reaction mechanism is complex, the model of cracking furnace is difficult to …

… The reaction kinetics of electrocatalytic treatment of drilling … and PAHs in petroleumcontaminated
water by electrochemical … -emission matrix fluorescence spectra via deep learning [J]. …

… support vector machine (LSSVM) is generally used to solve non-sparse problems. A sparse
and parameter optimization method of LSSVM based on genetic algorithm was proposed. …

… of waste water treatment process and structure design & … the optimize control of municipal
solid waste incineration process… control of industrial processes using reinforcement learning on …

… between the disinfection kinetics of particles from the 2 wastewater treatment processes, and
… have significant impact on disinfection kinetics, but in the context of optimizing filtration, the …

… water leader in industrial water treatment, lence and value. … optimization of system designs
taking into of ultrapure water, … of other Pumping waste oil mixed with sea water and materja …

… cost through multi-objective optimization and its effect on waste-to-… Mechanism and kinetics
study on the ozonolysis reaction of 2,3,7,… Deep learning of semisupervised process data with …