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Machine learning models for ecological footprint prediction based on energy parameters
Springer Verlag | 2021| -
Machine learning models for ecological footprint prediction based on energy parameters
Online Contents | 2020| -
Developing a Questionnaire for Measuring Safety Climate in the Workplace in Serbia
Taylor & Francis Verlag | 2013| -
Kinetic Modelling of Different Bauxite Types in the Bayer Leaching Process
Taylor & Francis Verlag | 2010| -
ANFIS-Based Prediction of the Decomposition of Sodium Aluminate Solutions in the Bayer Process
Taylor & Francis Verlag | 2016| -
Prediction of Ozone Concentration in Ambient Air Using Multilinear Regression and the Artificial Neural Networks Methods
Taylor & Francis Verlag | 2020| -
Artificial neural network prediction of the aluminum extraction from bauxite in the Bayer process
Free accessDOAJ | 2012| -
Application of FAHP–PROMETHEE Hybrid Model for Prioritizing SMEs Failure Factors
Taylor & Francis Verlag | 2021| -
Cross-Country Study of Corporate Social Responsibility and Sustainable Development in Various Industries
Taylor & Francis Verlag | 2024|
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