Rogelio Ochoa-Barragan – författare

Machine Learning Tools for Chemical Engineering: Methodologies and Applications examines how machine learning (ML) techniques are applied in the field, offering precise, fast, and flexible solutions to address specific challenges.ML techniques and methodologies offer significant advantages (such as accuracy, speed of execution, and flexibility) over traditional modeling and optimization techniques. This book integrates ML techniques to solve problems inherent to chemical engineering, providing practical tools and a theoretical framework combining knowledge modeling, representation, and management, tailored to the chemical engineering field. It provides a precedent for applied Al, but one that goes beyond purely data-centric ML. It is firmly grounded in the philosophies of knowledge modeling, knowledge representation, search and inference, and knowledge extraction and management.Aimed at graduate students, researchers, educators, and industry professionals, this book is an essential resource for those seeking to implement ML in chemical processes, aiming to foster optimization and innovation in the sector.- Outlines the current and potential future contribution of machine learning, the use of data science, and, ultimately, how to correctly use machine learning tools specifically in chemical engineering• Devoted to the correct application and interpretation of the results in various phases of the development of decision support systems: data collection, model development, training, and testing, as well as application in chemical engineering• Examines chemical engineering-specific challenges and problems, including noise, manufacturing equipment, and domain-specific solutions, such as physical knowledge using relevant case study examples

Solid Waste Management: Navigation from Fundamentals to Innovation is a compendium that unravels the complexities of waste management. It traverses the historical backdrop of waste management practices and ushers in a realm where sustainability and cutting-edge technologies converge to tackle the escalating challenges of waste disposal and treatment. This book serves a diverse readership, i.e. students, researchers, educators, and practitioners. It has an interdisciplinary approach and provides a holistic view of the field, blending theory with actionable strategies, and infusing the narrative with innovative solutions.With a focus on sustainability, it underscores the integration of emerging technologies, such as AI and IoT, in optimizing waste management systems. It equips readers with the knowledge to navigate the intricacies of the industry and fosters the adoption of efficient, sustainable waste practices. As we stand on the brink of environmental exigencies, this book calls for action in a more responsible and forward-thinking manner to managing the byproducts of our civilization.

Solid Waste Management: Navigation from Fundamentals to Innovation is a compendium that unravels the complexities of waste management. It traverses the historical backdrop of waste management practices and ushers in a realm where sustainability and cutting-edge technologies converge to tackle the escalating challenges of waste disposal and treatment. This book serves a diverse readership, i.e. students, researchers, educators, and practitioners. It has an interdisciplinary approach and provides a holistic view of the field, blending theory with actionable strategies, and infusing the narrative with innovative solutions.With a focus on sustainability, it underscores the integration of emerging technologies, such as AI and IoT, in optimizing waste management systems. It equips readers with the knowledge to navigate the intricacies of the industry and fosters the adoption of efficient, sustainable waste practices. As we stand on the brink of environmental exigencies, this book calls for action in a more responsible and forward-thinking manner to managing the byproducts of our civilization.

Solid Waste Management: Navigation from Fundamentals to Innovation is a compendium that unravels the complexities of waste management. It traverses the historical backdrop of waste management practices and ushers in a realm where sustainability and cutting-edge technologies converge to tackle the escalating challenges of waste disposal and treatment. This book serves a diverse readership, i.e. students, researchers, educators, and practitioners. It has an interdisciplinary approach and provides a holistic view of the field, blending theory with actionable strategies, and infusing the narrative with innovative solutions.With a focus on sustainability, it underscores the integration of emerging technologies, such as AI and IoT, in optimizing waste management systems. It equips readers with the knowledge to navigate the intricacies of the industry and fosters the adoption of efficient, sustainable waste practices. As we stand on the brink of environmental exigencies, this book calls for action in a more responsible and forward-thinking manner to managing the byproducts of our civilization.

This textbook introduces readers to a comprehensive framework for the application of deterministic optimization strategies in the field of chemical processes, with a strong emphasis on sustainability.The book establishes a vital connection between fundamental deterministic optimization principles, optimization tools, and real-world application instances, all within the context of environmentally responsible practices. The approach put forth in this book is exceptionally versatile, allowing for the use of many optimization software and deterministic techniques.Contained in the book are many fundamental optimization concepts, encompassing linear programming, nonlinear programming, integer programming, and multi-objective optimization, all tailored to promote sustainable decision-making. Furthermore, the book provides practical examples illustrating the application of these techniques within sustainable chemical processes as tutorials.The textbook also explores the utilization of popular optimization software platforms such as GAMS, MATLAB, and Python, demonstrating how these tools can be leveraged for eco-friendly process optimization. Through this comprehensive framework, readers can not only acquire the skills needed to optimize a wide range of processes but also learn how to do so with sustainability at the forefront of their considerations. This approach streamlines the optimization process, eliminating unnecessary complications along the way and ensuring that environmental and ethical considerations are integral to the decision-making process.