000			02772nam a22004095i 4500
999			_c361539 _d361539 _x1
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003			ES-MaUEC
005			20230102121408.0
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007			cr nn nnnaamaa
008			210804s2021 sz | s |||| 0|eng d
020			_a9783030822163
024	7		_a10.1007/978-3-030-82216-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTD883 _b2021 EB
100	1		_aSaini, Jagriti _eautor _9681940
245	1	0	_aInternet of Things for Indoor Air Quality Monitoring _cby Jagriti Saini, Maitreyee Dutta, Gonçalo Marques
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publising _c2021
300			_a1 recurso en línea (XIII, 82 páginas) _b7 ilustraciones, 6 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aSpringerBriefs in Computational Intelligence _x2625-3712
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
520	3		_aThis book provides a synthesis for using IoT for indoor air quality assessment. It will help upcoming researchers to understand the gaps in the literature while identifying the new challenges and opportunities to develop healthy living spaces. On the other hand, this book provides insights about integrating IoT with artificial intelligence to design smart buildings with enhanced air quality. Consequently, this book aims to present future scope for carrying out potential research activities in this domain. Over the past few years, the Internet of Things (IoT) is proven as the most revolutionizing invention in the field of engineering and design. This technology has wide scope in automation and real-time monitoring. Indoor air quality assessment is one of the most important applications of IoT which helps in the development of smart and healthy living spaces. Numerous methods have been developed for air quality assessment to ensure enhanced public health and well-being. The combination of sensors, microcontrollers, and communication technologies can be used to handle the massive amount of field data to access the condition of building air quality.
988			_aSpringer_Computer_2021
650		7	_2embne _9406492 _aAire _xCalidad
650		7	_2embne _9483083 _aInternet de los objetos
700	1		_aDutta, Maitreyee _eautor
700	1		_aMarques, Gonçalo _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-82216-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2022 _dz _eu _zSI