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Twinning quality sensors in wastewater treatment process via optimized echo state network-based soft sensors
G Fang, Y Liu - Applied Soft Computing, 2024 - Elsevier
The presence of a large amount of quality-related but hard-to-measure variables usually
makes effective monitoring of industrial processes difficult, and even impossible. Soft …
makes effective monitoring of industrial processes difficult, and even impossible. Soft …
Hyperparameter Optimization of the Machine Learning Model for Distillation Processes
KC Oh, H Kwon, SY Park, SJ Kim… - International Journal of …, 2024 - Wiley Online Library
This study was conducted to enhance the efficiency of chemical process systems and
address the limitations of conventional methods through hyperparameter optimization …
address the limitations of conventional methods through hyperparameter optimization …
Rethinking real-time risk prediction from multi-step time series forecasting on highway car-following scenarios
H Zhang, Y Shen, Q Bao, Q Qu, R Zhang… - Accident Analysis & …, 2024 - Elsevier
Driving risk prediction emerges as a pivotal technology within the driving safety domain,
facilitating the formulation of targeted driving intervention strategies to enhance driving …
facilitating the formulation of targeted driving intervention strategies to enhance driving …
Design and optimization of energy supplying system for electric vehicles by mobile charge stations
Electric vehicles (EVs) have been recommended worldwide as an alternative to internal
combustion engine (ICE) vehicles. However, it will be difficult to supply enough energy to …
combustion engine (ICE) vehicles. However, it will be difficult to supply enough energy to …
A Reinforcement Learning-based Multistep Prediction Strategy for Burn-Through Point Using State Feature Extractor
Sintering represents a critical link in the steel production process, with the produced sinter
ore serving as the core raw material for blast furnace ironmaking. Characterized by harsh …
ore serving as the core raw material for blast furnace ironmaking. Characterized by harsh …
An Innovative Quality Prediction Method for Injection-molded Products: A Multi-stage Fusion Regression Model Based on the IA-BiGRU and Multi-head Self-attention …
Y Cheng, H Zhan, R Wang, J Yu, G **e - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Injection molding is a critical manufacturing process for lean production, encompassing
multiple production stages. Since the quality of injection-molded products is significantly …
multiple production stages. Since the quality of injection-molded products is significantly …