국외저널

• 국제학술지
• 그외

• 170 Interpretable machine learning framework for catalyst performance prediction and validation with dry reforming of methane
• 169 Process design and analysis for combined hydrogen regasification process and liquid air energy storage
• 168 Dual attention-based multi-step ahead prediction enhancement for monitoring systems in industrial processes
• 167 A dynamic soft sensor based on hybrid neural networks to improve early off-spec detection
• 166 Comparison of Derivative-Free Optimization: Energy Optimization of Steam Methane Reforming Process
• 165 Strategies for flexible operation of power-to-X processes coupled with renewables
• 164 Revealing the impact of renewable uncertainty on grid-assisted power-to-X: A data-driven reliability-based design optimization approach
• 163 Comparison of mixed refrigerant cycles for natural gas liquefaction: From single mixed refrigerant to mixed fluid cascade processes
• 162 Multi-objective robust optimization of profit for a naphtha cracking furnace considering uncertainties in the feed composition
• 161 Novel control-aware fault detection approach for non-stationary processes via deep learning-based dynamic surrogate modeling
• 160 Data-driven modeling of multimode chemical process: Validation with a real-world distillation column
• 159 Explainable Artificial Intelligence for Fault Diagnosis of Industrial Processes
• 158 Integration of wastewater electro-electrodialysis and CO2 capture for sustainable LIB recycling: Process design and economic analyses
• 157 Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning
• 156 Process design and economic analysis of hydrogen roasting integrated with CCU for a carbon-free spent LIB recycling process