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[null,"1.","Record Nr.",null,"UNICAMPANIASUN0099380"]
[null,null,"Titolo",null,"Interni annual"]
[null,null,"Pubbl/distr/stampa",null,"Milano : Electa, 1981-"]
[null,null,"ISSN",null,"1122-3650"]
[null,null,"Edizione",null,"[1980-]"]
[null,null,"Descrizione fisica",null,"volumi : ill. ; 31 cm. - L'editore varia. - Supplemento a: Interni. La Rivista dell'arredamento."]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Periodico"]
[null,"2.","Record Nr.",null,"UNINA9911007357103321"]
[null,null,"Autore",null,"Liu Hui"]
[null,null,"Titolo",null,"Data Science in Air Quality Monitoring / / by Hui Liu, Yanfei Li, Zhu Duan"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"981-9657-77-6"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (258 pages)"]
[null,null,"Collana",null,"Engineering Applications of Computational Methods, , 2662-3374 ; ; 23"]
[null,null,"Disciplina",null,"333.7"]
[null,null,"Soggetti",null,"Environmental sciences - Mathematics"]
[{"$nulls":4},"Environmental monitoring"]
[{"$nulls":4},"Artificial intelligence - Data processing"]
[{"$nulls":4},"Engineering - Data processing"]
[{"$nulls":4},"Pollution"]
[{"$nulls":4},"Mathematical Applications in Environmental Science"]
[{"$nulls":4},"Environmental Monitoring"]
[{"$nulls":4},"Data Science"]
[{"$nulls":4},"Data Engineering"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Chapter 1 Introduction -- Chapter 2 Data preprocessing in air quality monitoring -- Chapter 3 Data decomposition in air quality monitoring -- Chapter 4 Data identification in air quality monitoring -- Chapter 5 Data preprocessing in air quality monitoring -- Chapter 6 Data forecasting in air quality monitoring -- Chapter 7 Data interpolation in air quality monitoring."]
[null,null,null,"Sommario/riassunto","This book presents a series of state-of-the-art methods for air quality monitoring in various engineering environment by using data science. In the book, the data-driven key techniques of the preprocessing, decomposition, identification, clustering, forecasting and interpolation of the air quality monitoring are explained in details with lots of experimental simulation. The book can provide important reference for the development of data science technologies in engineering air quality monitoring. The book can be used for students, engineers, scientists and managers in the fields of environmental engineering, atmospheric science, urban climate, civil engineering, traffic and vehicle engineering, etc."]