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 …

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 …

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 …

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 …

A novel particle swarm optimization-based grey model for the prediction of warehouse performance

MR Islam, SM Ali, AM Fathollahi-Fard… - Journal of …, 2021 - academic.oup.com
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 …

A parameter adaptive method for state of charge estimation of lithium-ion batteries with an improved extended Kalman filter

S Yang, S Zhou, Y Hua, X Zhou, X Liu, Y Pan, H Ling… - Scientific reports, 2021 - nature.com
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 …

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 …

A novel approach to CNC machining center processing parameters optimization considering energy-saving and low-cost

Y Xiao, Z Jiang, Q Gu, W Yan, R Wang - Journal of Manufacturing Systems, 2021 - Elsevier
NC machining is currently a machining method widely used in mechanical manufacturing
systems. Reasonable selection of process parameters can significantly reduce the …

Thermal interaction analysis of isolated hemicellulose and cellulose by kinetic parameters during biomass pyrolysis

Y Ding, B Huang, K Li, W Du, K Lu, Y Zhang - Energy, 2020 - Elsevier
Thermal interactions of isolated hemicellulose and cellulose were analyzed during biomass
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 …