Sensor collected intelligence : current trends and advances in computer-aided intelligent environmental data engineering /: current trends and advances in computer-aided intelligent environmental data engineering. (2022)

• Record Type: Book
• Further Information: Note: Edited by Goncalo Marques, Joshua O. Ighalo.
• Editors: Marques, Gonçalo; Ighalo, Joshua O
• Contents: Section I: Data-centric and intelligent systems in air quality monitoring, assessment and mitigation ; 1. Application of deep learning and machine learning in air quality modelling; 2. Case study of air quality prediction by deep learning and machine learning; 3. Considerations of particle dispersion modelling with data-centric and intelligent systems; 4. Data-centric modelling of air filters, HVAC and other industrial air quality control systems; 5. A review of recent developments and applications of data-centric systems in air quality monitoring, assessment and mitigation; ; Section 2: Data-centric and intelligent systems in water quality monitoring, assessment and mitigation ; 6. Application of deep learning and machine learning methods in water quality modelling and prediction; 7. Case studies of surface water, groundwater and rainwater quality prediction by data-centric and intelligent systems; 8. Application of deep learning and machine learning methods in contaminant hydrology; 9. Deep learning and machine learning methods in emerging contaminants and micro-pollutants research; 10. A review of recent developments and applications of data-centric systems in water quality monitoring, assessment and mitigation; ; Section 3: Data-centric and intelligent systems inland pollution research ; 11. Application of deep learning and machine learning methods in flow modelling of landfill leachate; 12. Case studies of evaluations and analysis of solid waste management techniques by deep learning and machine learning methods; 13. Application of deep learning and machine learning methods in soil quality assessment and remediation; 14. Establishing a nexus between non-biodegradable waste and data-centric systems; 15. A review of recent developments and applications of data-centric systems inland pollution research; ; Section 4: Data-centric and intelligent systems in noise pollution research ; 16. Methods development for data-centric systems in noise pollution research; 17. Case studies of data-centric systems in noise pollution research; 18. A review of recent developments and applications of data-centric systems in noise pollution research
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2022
• Extent: 1 online resource, illustrations (black and white, and colour)
• Subjects: 628.028563; Environmental engineering -- Data processing; Artificial intelligence -- Engineering applications; Computer engineering
• Languages: English
• ISBNs: 9780323855983
• Related ISBNs: 9780323855976
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.