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

Precise

书目名称ICT for Smart Water Systems: Measurements and Data Science影响因子(影响力)




书目名称ICT for Smart Water Systems: Measurements and Data Science影响因子(影响力)学科排名




书目名称ICT for Smart Water Systems: Measurements and Data Science网络公开度




书目名称ICT for Smart Water Systems: Measurements and Data Science网络公开度学科排名




书目名称ICT for Smart Water Systems: Measurements and Data Science被引频次




书目名称ICT for Smart Water Systems: Measurements and Data Science被引频次学科排名




书目名称ICT for Smart Water Systems: Measurements and Data Science年度引用




书目名称ICT for Smart Water Systems: Measurements and Data Science年度引用学科排名




书目名称ICT for Smart Water Systems: Measurements and Data Science读者反馈




书目名称ICT for Smart Water Systems: Measurements and Data Science读者反馈学科排名

啜泣

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

certitude

,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

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

interlude

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

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

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

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

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