Spectroscopy and machine learning for water quality analysis /

Though the use of various spectroscopic methods and sensor technology is routine in water quality evaluation. Coupled with artificial intelligence, machine learning, and deep learning methods are opening a new era of quality monitoring and predictive analysis. This book acquaints experienced readers...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Shukla, Ashutosh Kumar, 1978- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2021]
Colección:IOP (Series). Release 21.
IOP series in spectroscopic methods and applications.
IOP ebooks. 2021 collection.
Temas:
Water quality management > Data processing.
Water quality > Measurement.
Machine learning.
Spectrum analysis.
Environmental monitoring.
SCIENCE / Spectroscopy & Spectrum Analysis.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. FTIR spectroscopy and water quality / Daniel Cozzolino
  • 2. Fluorescence spectroscopy and applications in water quality monitoring / Cong Wang and Daoliang Li
  • 3. Paper-based optical sensors for water analysis and monitoring / Bambang Kuswandi
  • 4. Nanocomposite materials for water purification : synthesis, characterization, and applications / Naumih M Noah and Peter M. Ndangili
  • 5. Advancing water quality assessment via artificial neural networks (ANNs) / Sachchidanand Soaham Gupta, Rajeev Singh and Pratibha Chaudhary.

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