Precise
发表于 2025-3-21 16:51:39
书目名称ICT for Smart Water Systems: Measurements and Data Science影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0460196<br><br> <br><br>书目名称ICT for Smart Water Systems: Measurements and Data Science影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0460196<br><br> <br><br>书目名称ICT for Smart Water Systems: Measurements and Data Science网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0460196<br><br> <br><br>书目名称ICT for Smart Water Systems: Measurements and Data Science网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0460196<br><br> <br><br>书目名称ICT for Smart Water Systems: Measurements and Data Science被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0460196<br><br> <br><br>书目名称ICT for Smart Water Systems: Measurements and Data Science被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0460196<br><br> <br><br>书目名称ICT for Smart Water Systems: Measurements and Data Science年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0460196<br><br> <br><br>书目名称ICT for Smart Water Systems: Measurements and Data Science年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0460196<br><br> <br><br>书目名称ICT for Smart Water Systems: Measurements and Data Science读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0460196<br><br> <br><br>书目名称ICT for Smart Water Systems: Measurements and Data Science读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0460196<br><br> <br><br>
啜泣
发表于 2025-3-21 22:56:15
1867-979Xindustry 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
certitude
发表于 2025-3-22 04:01:49
,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.
Detonate
发表于 2025-3-22 07:23:08
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.
橡子
发表于 2025-3-22 11:11:36
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interlude
发表于 2025-3-22 16:08:59
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.
不能平静
发表于 2025-3-22 20:00:35
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
incisive
发表于 2025-3-22 23:29:12
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
lacrimal-gland
发表于 2025-3-23 02:33:08
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
Pantry
发表于 2025-3-23 08:45:04
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