Process Optimization Methodologies: Current Advances in Machine Learning and Corrosion Technology

The book brings to the fore the different approaches of current trends in mathematical modelling, machine learning, and relevant software tools in the development of different models and routes in arriving at different nutrient diet formulations, application of artificial intelligence for diabetes treatment in improving assessment to patients at risk, diagnosis, and self-management leading to the understanding and promotion of energy policies, human health, and economic growth. It introduces these methodologies for the enhancement of informed decision-making, improving sustainability, and increasing energy diversity. In addition, the book establishes current corrosion inhibition technologies through the use of sustainable and renewable materials. In a related approach, it explores automobile systems functionality for safety regulations by outlining key tribological elements that will enhance braking systems and guarantee vehicle stability and safety.