Advances in machine learning for high value-added applications of lignocellulosic biomass
H Ge, J Zheng, H Xu - Bioresource Technology, 2023 - Elsevier
Lignocellulose can be converted into biofuel or functional materials to achieve high value-
added utilization. Biomass utilization process is complex and multi-dimensional. This paper …
added utilization. Biomass utilization process is complex and multi-dimensional. This paper …
A review on flaming ignition of solid combustibles: pyrolysis kinetics, experimental methods and modelling
J Gong, L Yang - Fire Technology, 2024 - Springer
Thermal induced pyrolysis and the following flaming ignition of solid combustible play
crucial roles in determining the occurrence of fire and the subsequent flame spread. This …
crucial roles in determining the occurrence of fire and the subsequent flame spread. This …
Remaining useful life prediction of lithium-ion batteries using a hybrid model
F Yao, W He, Y Wu, F Ding, D Meng - Energy, 2022 - Elsevier
Accurately predicting the remaining useful life (RUL) of lithium-ion batteries is critical to the
stable operation and timely maintenance of a battery system. However, the capacity of an …
stable operation and timely maintenance of a battery system. However, the capacity of an …
Electrical load forecasting: A deep learning approach based on K-nearest neighbors
Y Dong, X Ma, T Fu - Applied Soft Computing, 2021 - Elsevier
Deep learning approaches have shown superior advantages than shallow techniques in the
field of electrical load forecasting; however, their applications in existing studies encounter …
field of electrical load forecasting; however, their applications in existing studies encounter …
A novel particle swarm optimization-based grey model for the prediction of warehouse performance
Warehouses constitute a key component of supply chain networks. An improvement to the
operational efficiency and the productivity of warehouses is crucial for supply chain …
operational efficiency and the productivity of warehouses is crucial for supply chain …
A parameter adaptive method for state of charge estimation of lithium-ion batteries with an improved extended Kalman filter
An accurate state of charge (SOC) estimation in battery management systems (BMS) is of
crucial importance to guarantee the safe and effective operation of automotive batteries …
crucial importance to guarantee the safe and effective operation of automotive batteries …
Pyrolysis kinetics and reaction mechanism of expandable polystyrene by multiple kinetics methods
W Zhang, J Zhang, Y Ding, Q He, K Lu… - Journal of Cleaner …, 2021 - Elsevier
Expandable polystyrene (EPS), as an industrial material extensively used for energy saving
in building exterior insulation system, helps to decrease the energy consumption from …
in building exterior insulation system, helps to decrease the energy consumption from …
A novel approach to CNC machining center processing parameters optimization considering energy-saving and low-cost
NC machining is currently a machining method widely used in mechanical manufacturing
systems. Reasonable selection of process parameters can significantly reduce the …
systems. Reasonable selection of process parameters can significantly reduce the …
Thermal interaction analysis of isolated hemicellulose and cellulose by kinetic parameters during biomass pyrolysis
Thermal interactions of isolated hemicellulose and cellulose were analyzed during biomass
pyrolysis. Different from the previous researches focus on pyrolysis products, the current …
pyrolysis. Different from the previous researches focus on pyrolysis products, the current …
An analog circuit fault diagnosis approach based on improved wavelet transform and MKELM
C Zhang, Y He, T Yang, B Zhang, J Wu - Circuits, Systems, and Signal …, 2022 - Springer
Correct diagnosing analog circuit fault is beneficial to the circuit's health management, and
its core challenge is extracting essential features from the circuit's output signals. Wavelet …
its core challenge is extracting essential features from the circuit's output signals. Wavelet …