Elsevier Recent Advances in Artificial Intelligence and Machine Learning for Thermochemical and Biochemical Bioprocess

Recent Advances in Artificial Intelligence and Machine Learning for Thermochemical and Biochemical Bioprocess delves into the transformative role of AI and ML in enhancing the efficiency and effectiveness of bioprocess operations. The book covers everything from predictive modeling and bioreactor design to the integration of IoT in Bioprocess 4.0 while also synthesizing the latest scientific advancements and practical applications in the field of thermochemical and biochemical bioprocesses. It explores a wide array of topics, including deep learning applications in gasification, the role of artificial neural networks in process control, and the use of genetic algorithms in thermochemical processing. Each chapter offers invaluable insights into current methodologies and future perspectives, providing a solid foundation for applying AI and ML techniques to tackle pressing challenges in clean fuel production, waste management, and climate change mitigation. Explores cutting-edge applications of AI and ML tools in enhancing clean fuel technologies and energy security, providing readers with innovative strategies to tackle global energy challenges Analyzes the integration of AI and ML in waste management and valorization processes, highlighting methods to reduce greenhouse gas emissions and promote a circular economy for sustainable development Evaluates the role of AI and ML in advancing thermochemical biomass conversion technologies, equipping researchers with insights into chemical kinetics, process intensification, and economic viability for biofuel production Discusses the implications of AI and ML on regulatory frameworks and policies, offering a comprehensive guide for academics, industry leaders, and policymakers Presents case studies and real-world applications, illustrating the transformative potential of AI and ML in addressing climate change mitigation and fostering a sustainable future