Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering

The book "Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering" discusses how data science and AI-based tools are being used in environmental engineering research to transform data collected by intelligent sensors into useful information for decision-making. It covers a range of tools such as fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial neural networks, support vector machine, boosted regression tree, simulated annealing, ant colony algorithm, decision tree, immune algorithm, and imperialist competitive algorithm.

Format: Paperback / softback
Length: 474 pages
Publication date: 01 March 2022
Publisher: Elsevier Science & Technology

The field of Computer-Aided Intelligent Environmental Data Engineering (CAIEDE) is a groundbreaking intersection of computer engineering and environmental engineering, revolutionizing the way we approach environmental research and analysis. In this comprehensive book, the latest findings on the application of data science and AI-based tools in environmental engineering research are presented, showcasing their transformative potential in transforming the data collected by intelligent sensors into valuable and reliable information for decision-making.

This application spans a wide range of domains, including data science, artificial intelligence, and their intersection, allowing for the efficient processing and analysis of complex environmental data. These cutting-edge tools include fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial neural networks, support vector machine, boosted regression tree, simulated annealing, ant colony algorithm, decision tree, immune algorithm, and imperialist competitive algorithm.

What sets this book apart is its status as the first comprehensive resource in this emerging field. It provides a foundational reference for researchers, practitioners, and students alike, offering a critical overview of the latest cross-domain research findings and technological developments in CAIEDE. By delving into the intricacies of these tools and techniques, the book empowers readers to harness the power of data science and AI to address pressing environmental challenges and drive sustainable development.

The significance of CAIEDE cannot be overstated, as it holds the potential to revolutionize the way we monitor, manage, and protect our natural environment. By leveraging the power of data science and AI, we can gain a deeper understanding of environmental systems, identify patterns, and make informed decisions that promote sustainability and conservation.

This book serves as a valuable resource for anyone interested in advancing their knowledge in CAIEDE, whether they are researchers, environmental professionals, or students. It provides a comprehensive roadmap for exploring the latest trends, techniques, and applications, enabling readers to stay at the forefront of this rapidly evolving field.

In conclusion, the field of Computer-Aided Intelligent Environmental Data Engineering is poised to transform the way we approach environmental research and analysis. This book serves as a fundamental guide, presenting the latest findings and technological developments in this exciting field. By leveraging the power of data science and AI, we can unlock the full potential of environmental data and drive positive change for our planet.

Weight: 450g
Dimension: 235 x 191 (mm)
ISBN-13: 9780323855976