000 | 03487nam a22006255i 4500 | ||
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001 | 978-3-030-82216-3 | ||
003 | DE-He213 | ||
005 | 20240423125432.0 | ||
007 | cr nn 008mamaa | ||
008 | 210804s2021 sz | s |||| 0|eng d | ||
020 |
_a9783030822163 _9978-3-030-82216-3 |
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024 | 7 |
_a10.1007/978-3-030-82216-3 _2doi |
|
050 | 4 | _aTK7895.E42 | |
050 | 4 | _aTK5105.8857 | |
072 | 7 |
_aTJF _2bicssc |
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_aGPFC _2bicssc |
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_aGPFC _2thema |
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082 | 0 | 4 |
_a621.38 _223 |
100 | 1 |
_aSaini, Jagriti. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
245 | 1 | 0 |
_aInternet of Things for Indoor Air Quality Monitoring _h[electronic resource] / _cby Jagriti Saini, Maitreyee Dutta, Gonçalo Marques. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
|
300 |
_aXIII, 82 p. 7 illus., 6 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSpringerBriefs in Computational Intelligence, _x2625-3712 |
|
520 | _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 andwell-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. | ||
650 | 0 | _aCooperating objects (Computer systems). | |
650 | 0 | _aEnvironment. | |
650 | 0 |
_aEngineering _xData processing. |
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650 | 0 | _aComputational intelligence. | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aCyber-Physical Systems. |
650 | 2 | 4 | _aEnvironmental Sciences. |
650 | 2 | 4 | _aData Engineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aArtificial Intelligence. |
700 | 1 |
_aDutta, Maitreyee. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aMarques, Gonçalo. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030822156 |
776 | 0 | 8 |
_iPrinted edition: _z9783030822170 |
830 | 0 |
_aSpringerBriefs in Computational Intelligence, _x2625-3712 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-82216-3 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c177910 _d177910 |