Article
Publicly Available
Frontmatter
Published/Copyright:
December 29, 2025
Published Online: 2025-12-29
©2025 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Research Articles
- Enhancing power consumption prediction in steel manufacturing with hybrid classification and optimization models
- Modeling the CO and CO2 output in the gasification process using optimized hybrid machine learning models
- Intelligence predictions: enhancing bubble column efficiency with advanced machine learning (ML) approaches
- Advanced prediction of CO2 emissions and energy consumption in high-performance concrete manufacturing
- Fundamental feature-based assessment of water quality through optimal enhanced models
- Comparative analysis of heat transfer enhancement in vortex generators using nanofluids under turbulent flow conditions
- Utilizing a Naïve Bayes model for gasification process prediction: enhancing efficiency and sustainability
- Using different numbers of helical obstacles for promoting heat transfer in the tubes
Articles in the same Issue
- Frontmatter
- Research Articles
- Enhancing power consumption prediction in steel manufacturing with hybrid classification and optimization models
- Modeling the CO and CO2 output in the gasification process using optimized hybrid machine learning models
- Intelligence predictions: enhancing bubble column efficiency with advanced machine learning (ML) approaches
- Advanced prediction of CO2 emissions and energy consumption in high-performance concrete manufacturing
- Fundamental feature-based assessment of water quality through optimal enhanced models
- Comparative analysis of heat transfer enhancement in vortex generators using nanofluids under turbulent flow conditions
- Utilizing a Naïve Bayes model for gasification process prediction: enhancing efficiency and sustainability
- Using different numbers of helical obstacles for promoting heat transfer in the tubes