Du Ni
Orcid: 0000-0002-7070-5255
According to our database1,
Du Ni
authored at least 12 papers
between 2019 and 2023.
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Bibliography
2023
Using random forest to find the discontinuity points for carbon efficiency during COVID-19.
Soft Comput., November, 2023
Using deep learning to interpolate the missing data in time-series for credit risks along supply chain.
Ind. Manag. Data Syst., 2023
Ind. Manag. Data Syst., 2023
Deep neural networks with L1 and L2 regularization for high dimensional corporate credit risk prediction.
Expert Syst. Appl., 2023
Supply chain risk management with machine learning technology: A literature review and future research directions.
Comput. Ind. Eng., 2023
2022
Repair missing data to improve corporate credit risk prediction accuracy with multi-layer perceptron.
Soft Comput., 2022
2021
Machine learning in recycling business: an investigation of its practicality, benefits and future trends.
Soft Comput., 2021
N-Tier Soft Set Data Model: An Approach to Combine the Logicality of SQL and the Flexibility of NoSQL.
Mob. Inf. Syst., 2021
2020
A systematic review of the research trends of machine learning in supply chain management.
Int. J. Mach. Learn. Cybern., 2020
Expert Syst. Appl., 2020
2019
External Stimuli Predict Financial Market Behavior From the Brain Perception Perspective.
IEEE Access, 2019
Research on Economic Recession Prediction Model From the Multiple Behavioral Features Perspective.
IEEE Access, 2019