Machine learning method for energy consumption prediction of ships in port considering green ports

Y Peng, H Liu, X Li, J Huang, W Wang - Journal of Cleaner Production, 2020 - Elsevier
Two main contributions of this paper are 1) the energy consumption of ships (ECS) in port is
predicted, 2) reduction strategies for energy consumption of ships in port are discussed by …

Intelligent prediction of rockburst in tunnels based on back propagation neural network integrated beetle antennae search algorithm

G Li, Y Xue, C Qu, D Qiu, P Wang, Q Liu - Environmental Science and …, 2023 - Springer
Rockburst is one of the major engineering geological disasters of underground engineering.
Accurate rockburst intensity level prediction is vital for disaster control during underground …

[PDF][PDF] A Comprehensive Assessment Method for Safety Risk of Gas Tunnel Construction Based on Fuzzy Bayesian Network.

D Qiu, C Qu, Y Xue, B Zhou, X Li, X Ma… - Polish Journal of …, 2020 - researchgate.net
A Comprehensive Assessment Method for Safety Risk of Gas Tunnel Construction Based on
Fuzzy Bayesian Network Page 1 Author Copy • Author Copy • Author Copy • Author Copy • …

Dynamics and risk assessment of a remanufacturing closed-loop supply chain system using the internet of things and neural network approach

W Pan, L Miao - The Journal of Supercomputing, 2023 - Springer
To address the problem of the large subjective error of expert evaluation methods in supply
chain management, the supply chain system is comprehensively analyzed, and a deep …

Loss prediction of mountain flood disaster in villages and towns based on rough set RBF neural network

Y Zhang, Y Hao - Neural Computing and Applications, 2022 - Springer
Flood disasters cause serious economic losses to our country every year, which affects the
rapid development and construction of our country's economy to a certain extent. Our …

Prediction of the surrounding rock deformation grade for a high-speed railway tunnel based on rough set theory and a cloud model

D Qiu, Y Liu, Y Xue, M Su, Y Zhao, J Cui… - Iranian Journal of …, 2021 - Springer
With the continuous progress of the Chinese social economy, the construction of high-speed
railways has been increasing in China. The deformation grade of surrounding rock plays an …

Stability classification probability model of loess deposits based on MCS-Cloud

G Li, Y Xue, C Qu, D Qiu, Q Liu, X Ma - Environmental Science and …, 2023 - Springer
The stability classification of loess deposits around tunnels is a vital prerequisite for safe
construction in underground environment. Due to the fuzziness and randomness of loess …

[Retracted] Model Construction of College Students' Entrepreneurial Ability Cultivation in Mental Health Education Environment

M Huang - Journal of Environmental and Public Health, 2022 - Wiley Online Library
National policies have been very supportive of college students as a new force in IEE
(innovation and entrepreneurship education). Universities across the nation have increased …

Probabilistic evaluation of tunnel boring machine penetration rate based on case analysis

G Li, Y Xue, M Su, D Qiu, P Wang, Q Liu… - KSCE Journal of Civil …, 2022 - Springer
Although geological parameters are known to affect the penetration rate (PR) of a tunnel
boring machine (TBM), their relation to the probability of TBM PR has been rarely …

Application of Three‐Stage DEA Model Combined with BP Neural Network in Microfinancial Efficiency Evaluation

J Yang, X Li, J Mei, L Chen - Computational Intelligence and …, 2022 - Wiley Online Library
The research performed here intends to explore the future development model of new rural
financial institutions and determine the financial efficiency goals, thereby providing a huge …