9781789061147 - metadata collection and organization in wastewater treatment and wastewater resource recovery systems (scientific and technical report series) (18 resultados)
Metadata Collection and Organization in Wastewater Treatment and Wastewater Resource Recovery Systems
Villez, Kris (EDT); Aguado, Daniel (EDT); Alferes, Janelcy (EDT); Plana, Queralt (EDT); Ruano, Maria Victoria (EDT)
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 129,71
Envío por EUR 2,29Se envía dentro de Estados Unidos de AmericaCantidad disponible: 10 disponibles
Condición: New.
Idioma: Inglés
Editorial: IWA Publishing (Intl Water Assoc), 2024
Serie: Libro 1 de 1 - Scientific and Technical Report Series
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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EUR 132,08
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Editorial: IWA Publishing (Intl Water Assoc), 2024
Serie: Libro 1 de 1 - Scientific and Technical Report Series
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 127,98
Envío por EUR 4,86Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 7 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Metadata Collection and Organization in Wastewater Treatment and Wastewater Resource Recovery Systems
Villez, Kris (EDT); Aguado, Daniel (EDT); Alferes, Janelcy (EDT); Plana, Queralt (EDT); Ruano, Maria Victoria (EDT)
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 127,97
Envío por EUR 17,51Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 10 disponibles
Condición: New.
Metadata Collection and Organization in Wastewater Treatment and Wastewater Resource Recovery Systems
Villez, Kris (EDT); Aguado, Daniel (EDT); Alferes, Janelcy (EDT); Plana, Queralt (EDT); Ruano, Maria Victoria (EDT)
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 144,08
Envío por EUR 2,29Se envía dentro de Estados Unidos de AmericaCantidad disponible: 10 disponibles
Condición: As New. Unread book in perfect condition.
Idioma: Inglés
Editorial: IWA Publishing, 2024
Serie: Libro 1 de 1 - Scientific and Technical Report Series
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 141,21
Envío por EUR 6,80Se envía de Italia a Estados Unidos de AmericaCantidad disponible: 7 disponibles
Condición: new.
Idioma: Inglés
Editorial: IWA Publishing, London, 2024
Serie: Libro 1 de 1 - Scientific and Technical Report Series
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 157,17
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Paperback. Condición: new. Paperback. This Scientific Technical Report demonstrates meta-data strategies for water resource recovery facilities (WRRF), including the essential data validation with machine learning and traditional methods. The report is the result of extensive work from many water data experts and a utility focus… group, with the dedicated application of WRRF data.Emerging trends in artificial intelligence and machine learning project unforeseen possibilities in managing our WRRFs. Hope is built upon the large data volumes collected with high frequency from both existing sensors, as well as new uncoordinated data sources outside the fence. The data variety however makes it challenging to reuse data, especially when the purpose changes. Without a proper data description (meta-data), modelling and autonomous digitalization will be difficult, and likely remain a vision. Likewise, quantified data quality are key meta-data to decide when data are fit-for-purpose.The report aims to fill the gap of how meta-data can be used in practice to leverage the value of data in a WRRF context. The report describes existing methods and systematic methodologies to collect and reconcile meta-data describing signal generation, signal quality, and contextual meta-data. The sometimes ambiguous data terminology is clarified with real WRRF examples to endorse adoption in practice. Guidelines for data quality assessment is a central part and cover both standard sensor validation protocols, as well as a separate chapter on data analytical techniques. The latter serves as a smorgasbord with mechanistic and data-driven algorithms for online sensor quality assessment.The report is intended as a reference guide for the practitioner who aims at future proofing, but also maximizing, the current use of todays recorded WRRF data. The content bridges theory with current practices and provides a base tool for the WRRF data practitioner. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 151,59
Envío por EUR 7,59Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 3 disponibles
Condición: New.
Metadata Collection and Organization in Wastewater Treatment and Wastewater Resource Recovery Systems
Villez, Kris (EDT); Aguado, Daniel (EDT); Alferes, Janelcy (EDT); Plana, Queralt (EDT); Ruano, Maria Victoria (EDT)
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 145,37
Envío por EUR 17,51Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 10 disponibles
Condición: As New. Unread book in perfect condition.
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Librería: Speedyhen, Hertfordshire, Reino UnidoSpeedyhen
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EUR 113,64
Envío por EUR 47,87Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 7 disponibles
Condición: NEW.
Idioma: Inglés
Editorial: IWA Publishing, 2024
Serie: Libro 1 de 1 - Scientific and Technical Report Series
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 153,34
Envío por EUR 9,50Se envía de Irlanda a Estados Unidos de AmericaCantidad disponible: 7 disponibles
Condición: New.
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 166,93
Envío por EUR 3,46Se envía dentro de Estados Unidos de AmericaCantidad disponible: 3 disponibles
Condición: New.
Idioma: Inglés
Editorial: IWA Publishing, 2024
Serie: Libro 1 de 1 - Scientific and Technical Report Series
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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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EUR 157,95
Envío por EUR 18,69Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 9 disponibles
Paperback / softback. Condición: New. New copy - Usually dispatched within 3 working days.
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 165,64
Envío por EUR 14,59Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Paperback. Condición: Brand New. 262 pages. 9.25x7.25x0.75 inches. In Stock.
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 173,41
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 3 disponibles
Condición: New.
Idioma: Inglés
Editorial: IWA Publishing, 2024
Serie: Libro 1 de 1 - Scientific and Technical Report Series
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 189,29
Envío por EUR 9,11Se envía dentro de Estados Unidos de AmericaCantidad disponible: 7 disponibles
Condición: New.
Idioma: Inglés
Editorial: IWA Publishing Jun 2024, 2024
Serie: Libro 1 de 1 - Scientific and Technical Report Series
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 180,62
Envío por EUR 62,62Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware - This Scientific Technical Report demonstrates meta-data strategies for water resource recovery facilities (WRRF), including the essential data validation with machine learning and traditional methods. The report is the result of extensive work from many water data experts and a utility focu…s group, with the dedicated application of WRRF data. Emerging trends in artificial intelligence and machine learning project unforeseen possibilities in managing our WRRF's. Hope is built upon the large data volumes collected with high frequency from both existing sensors, as well as new uncoordinated data sources outside the fence. The data variety however makes it challenging to reuse data, especially when the purpose changes. Without a proper data description (meta-data), modelling and autonomous digitalization will be difficult, and likely remain a vision. Likewise, quantified data quality are key meta-data to decide when data are fit-for-purpose. The report aims to fill the gap of how meta-data can be used in practice to leverage the value of data in a WRRF context. The report describes existing methods and systematic methodologies to collect and reconcile meta-data describing signal generation, signal quality, and contextual meta-data. The sometimes ambiguous data terminology is clarified with real WRRF examples to endorse adoption in practice. Guidelines for data quality assessment is a central part and cover both standard sensor validation protocols, as well as a separate chapter on data analytical techniques. The latter serves as a smorgasbord with mechanistic and data-driven algorithms for online sensor quality assessment. The report is intended as a reference guide for the practitioner who aims at future proofing, but also maximizing, the current use of today's recorded WRRF data. The content bridges theory with current practices and provides a base tool for the WRRF data practitioner.
Idioma: Inglés
Editorial: IWA Publishing, London, 2024
Serie: Libro 1 de 1 - Scientific and Technical Report Series
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 231,11
Envío por EUR 32,11Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. This Scientific Technical Report demonstrates meta-data strategies for water resource recovery facilities (WRRF), including the essential data validation with machine learning and traditional methods. The report is the result of extensive work from many water data experts and a utility focus… group, with the dedicated application of WRRF data.Emerging trends in artificial intelligence and machine learning project unforeseen possibilities in managing our WRRFs. Hope is built upon the large data volumes collected with high frequency from both existing sensors, as well as new uncoordinated data sources outside the fence. The data variety however makes it challenging to reuse data, especially when the purpose changes. Without a proper data description (meta-data), modelling and autonomous digitalization will be difficult, and likely remain a vision. Likewise, quantified data quality are key meta-data to decide when data are fit-for-purpose.The report aims to fill the gap of how meta-data can be used in practice to leverage the value of data in a WRRF context. The report describes existing methods and systematic methodologies to collect and reconcile meta-data describing signal generation, signal quality, and contextual meta-data. The sometimes ambiguous data terminology is clarified with real WRRF examples to endorse adoption in practice. Guidelines for data quality assessment is a central part and cover both standard sensor validation protocols, as well as a separate chapter on data analytical techniques. The latter serves as a smorgasbord with mechanistic and data-driven algorithms for online sensor quality assessment.The report is intended as a reference guide for the practitioner who aims at future proofing, but also maximizing, the current use of todays recorded WRRF data. The content bridges theory with current practices and provides a base tool for the WRRF data practitioner. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
