Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These 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.
This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overview of the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Gonçalo Marques holds a PhD in Computer Science Engineering and is currently working as an Assistant Professor lecturing courses on programming, multimedia, and database systems. His research interests include Internet of Things, Enhanced Living Environments, machine learning, e-health, telemedicine, medical and healthcare systems, indoor air quality monitoring and assessment, and wireless sensor networks.
Joshua O. Ighalo obtained his Bachelors' Degree in Chemical Engineering in 2015 from the University of Benin, Nigeria. He also received a Masters' Degree in Chemical Engineering in 2019 from the University of Ilorin, Nigeria. His research interests include computer-aided modelling and optimisation of chemical process systems, biofuel production, solid waste management, and environmental pollution control. He authored or co-authored over 25 papers in journals indexed in Scopus and Web of Scienc
Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges two engineering disciplines: computer engineering and environmental engineering.
The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision making. These 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.
This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overviewof the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Condizione: New. Captures the application of data science and artificial intelligence for a broader spectrum of environmental engineering problems Presents methods and procedures as well as case studies where state-of-the-art technologies are applied in ac. Codice articolo 508741914
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Taschenbuch. Condizione: Neu. Neuware - Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These 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. This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overview of the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering. Codice articolo 9780323855976
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