Data-Driven Machine Learning Applications in Thermochemical Conversion Processes
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Data-Driven Machine Learning Applications in Thermochemical Conversion Processes
Oboirien, Bilainu; Okoye, Patrick; Giwa, Adewale; Okolie, Jude
Elsevier - Health Sciences Division
04/2026
350
Mole
Inglês
9780443333729
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1. Machine Learning Introduction
2. Higher Heating Value Prediction
3. Catalysts Screening and Optimization
4. Biochar Properties Prediction
5. Hydrothermal Gasification and Pyrolysis Process Conditions Optimization
6. Kinetics And Reaction Mechanism Study with Machine Learning
7. Machine Learning Applications in Combustion (Process Parameter Predictions and Image Processing)
8. Machine Learning Applications in Nanomaterial Preparation for Thermochemical Processes
9. Machine Learning Applications in Emerging Thermochemical Technologies
10. Integrating Machine Learning into Biorefinery Operations
11. Bioinformatics Approaches for Microbial-Driven Thermochemical Conversion
12. Machine Learning Applications in Microfluidic Thermochemical Reactors
13. Machine Learning for Advancing Techno-Economic and Lifecycle Assessment of Thermochemical Conversion Processes
14. Energy Efficiency and Heat Integration
15. Machine Learning Application in Feedstock Selection and Durability
2. Higher Heating Value Prediction
3. Catalysts Screening and Optimization
4. Biochar Properties Prediction
5. Hydrothermal Gasification and Pyrolysis Process Conditions Optimization
6. Kinetics And Reaction Mechanism Study with Machine Learning
7. Machine Learning Applications in Combustion (Process Parameter Predictions and Image Processing)
8. Machine Learning Applications in Nanomaterial Preparation for Thermochemical Processes
9. Machine Learning Applications in Emerging Thermochemical Technologies
10. Integrating Machine Learning into Biorefinery Operations
11. Bioinformatics Approaches for Microbial-Driven Thermochemical Conversion
12. Machine Learning Applications in Microfluidic Thermochemical Reactors
13. Machine Learning for Advancing Techno-Economic and Lifecycle Assessment of Thermochemical Conversion Processes
14. Energy Efficiency and Heat Integration
15. Machine Learning Application in Feedstock Selection and Durability
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Lifecycle assessment; hydrogen; biofuels; biochar; sustainable energy; gasification; pyrolysis; machine learning; data science
1. Machine Learning Introduction
2. Higher Heating Value Prediction
3. Catalysts Screening and Optimization
4. Biochar Properties Prediction
5. Hydrothermal Gasification and Pyrolysis Process Conditions Optimization
6. Kinetics And Reaction Mechanism Study with Machine Learning
7. Machine Learning Applications in Combustion (Process Parameter Predictions and Image Processing)
8. Machine Learning Applications in Nanomaterial Preparation for Thermochemical Processes
9. Machine Learning Applications in Emerging Thermochemical Technologies
10. Integrating Machine Learning into Biorefinery Operations
11. Bioinformatics Approaches for Microbial-Driven Thermochemical Conversion
12. Machine Learning Applications in Microfluidic Thermochemical Reactors
13. Machine Learning for Advancing Techno-Economic and Lifecycle Assessment of Thermochemical Conversion Processes
14. Energy Efficiency and Heat Integration
15. Machine Learning Application in Feedstock Selection and Durability
2. Higher Heating Value Prediction
3. Catalysts Screening and Optimization
4. Biochar Properties Prediction
5. Hydrothermal Gasification and Pyrolysis Process Conditions Optimization
6. Kinetics And Reaction Mechanism Study with Machine Learning
7. Machine Learning Applications in Combustion (Process Parameter Predictions and Image Processing)
8. Machine Learning Applications in Nanomaterial Preparation for Thermochemical Processes
9. Machine Learning Applications in Emerging Thermochemical Technologies
10. Integrating Machine Learning into Biorefinery Operations
11. Bioinformatics Approaches for Microbial-Driven Thermochemical Conversion
12. Machine Learning Applications in Microfluidic Thermochemical Reactors
13. Machine Learning for Advancing Techno-Economic and Lifecycle Assessment of Thermochemical Conversion Processes
14. Energy Efficiency and Heat Integration
15. Machine Learning Application in Feedstock Selection and Durability
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
