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Titlebook: ICT for Smart Water Systems: Measurements and Data Science; Andrea Scozzari,Steve Mounce,Dimitri Solomatine Book 2021 Springer Nature Swit

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發(fā)表于 2025-3-21 16:51:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱ICT for Smart Water Systems: Measurements and Data Science
編輯Andrea Scozzari,Steve Mounce,Dimitri Solomatine
視頻videohttp://file.papertrans.cn/461/460196/460196.mp4
概述Focuses on the ICT viewpoint on improving water resource management, a topic of steadily growing importance.Features contributions from both industry leaders and researchers, providing a wide view of
叢書(shū)名稱The Handbook of Environmental Chemistry
圖書(shū)封面Titlebook: ICT for Smart Water Systems: Measurements and Data Science;  Andrea Scozzari,Steve Mounce,Dimitri Solomatine Book 2021 Springer Nature Swit
描述.Today, Information and Communication Technologies (ICT) have a pervasive presence in almost every aspect of the management of water. There is no question that the collection of big data from sensing and the insights gained by smart analytics can bring massive benefits. This book focuses on new perspectives for the monitoring, assessment and control of water systems, based on tools and concepts originating from the ICT sector. It presents a portrait of up-to-date sensing techniques for water, and introduces concepts and implications with the analysis of the acquired data. Particular attention is given to the advancements in developing novel devices and data processing approaches. The chapters guide the reader through multiple disciplinary contexts, without aiming to be exhaustive, but with the effort to present relevant topics in such a highly multi-disciplinary framework. This book will be of interest to advanced students, researchers and stakeholders at various levels..
出版日期Book 2021
關(guān)鍵詞Smart Cities; Smart Water Networks; Water Quality; Network Partitioning; Sensors For Emerging Pollutants
版次1
doihttps://doi.org/10.1007/978-3-030-61973-2
isbn_softcover978-3-030-61975-6
isbn_ebook978-3-030-61973-2Series ISSN 1867-979X Series E-ISSN 1616-864X
issn_series 1867-979X
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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發(fā)表于 2025-3-21 22:56:15 | 只看該作者
1867-979X industry leaders and researchers, providing a wide view of .Today, Information and Communication Technologies (ICT) have a pervasive presence in almost every aspect of the management of water. There is no question that the collection of big data from sensing and the insights gained by smart analyti
板凳
發(fā)表于 2025-3-22 04:01:49 | 只看該作者
,A Bird’s-Eye View of Data Validation in the Drinking Water Industry of the Netherlands,ents for the water services. Given this challenging context, the often-overlooked factor of ensuring high data quality and preventing errors in data streams becomes increasingly important. In this chapter the current data validation techniques, challenges and best practices of the Dutch drinking water companies is presented.
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發(fā)表于 2025-3-22 07:23:08 | 只看該作者
Using Radial Basis Function for Water Quality Events Detection,ctions which are used for implementing the RBF. The case study part of the chapter illustrates actual analysis of real-world data as well as an illustrative example. The chapter concludes with some practical advice on how kernel functions should be selected for this task.
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發(fā)表于 2025-3-22 16:08:59 | 只看該作者
Spectroscopic Methods for Online Water Quality Monitoring,: fully solid-state hardware, no reagents or other consumables required for their operation, and automatic interpretation of the sensor data performed by increasingly advanced chemometric solutions. This chapter provides a brief overview of the fundamentals behind these technologies and reviews their use in water quality monitoring applications.
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發(fā)表于 2025-3-22 20:00:35 | 只看該作者
Book 2021tion that the collection of big data from sensing and the insights gained by smart analytics can bring massive benefits. This book focuses on new perspectives for the monitoring, assessment and control of water systems, based on tools and concepts originating from the ICT sector. It presents a portr
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發(fā)表于 2025-3-22 23:29:12 | 只看該作者
1867-979X n such a highly multi-disciplinary framework. This book will be of interest to advanced students, researchers and stakeholders at various levels..978-3-030-61975-6978-3-030-61973-2Series ISSN 1867-979X Series E-ISSN 1616-864X
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發(fā)表于 2025-3-23 02:33:08 | 只看該作者
Silas Mvulirwenande,Uta Wehnethods and easy-to-follow protocols for daily use, making it interesting for basic and medical researchers, cell- and molecular biologists, clinicians, clinic978-1-4939-9030-6Series ISSN 1064-3745 Series E-ISSN 1940-6029
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發(fā)表于 2025-3-23 08:45:04 | 只看該作者
Data Science Trends and Opportunities for Smart Water Utilities,and advanced techniques and technologies to work with complex data. The water sector needs to address the issue of ‘big data’ and obtaining ‘signal from the noise’. Primarily, the focus is on data to action by the application of data science..The role of digitalisation for smart water networks is co
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