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We designed a microchip made out of sensors that is capable of periodically recording measurements, and proposed a model that estimates atmospheric changes using deep learning. In addition, we developed an efficient algorithm to determine the optimal observation period for accurate air quality prediction. Experimental results with real-world data demonstrate the feasibility of our approach.<\/jats:p>","DOI":"10.3390\/s17112476","type":"journal-article","created":{"date-parts":[[2017,10,30]],"date-time":"2017-10-30T12:16:23Z","timestamp":1509365783000},"page":"2476","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":99,"title":["Indoor Air Quality Analysis Using Deep Learning with Sensor Data"],"prefix":"10.3390","volume":"17","author":[{"given":"Jaehyun","family":"Ahn","sequence":"first","affiliation":[{"name":"Data Labs, Buzzni, Seoul 08788, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongil","family":"Shin","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Sogang University, Seoul 04107, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kyuho","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Sogang University, Seoul 04107, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jihoon","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Sogang University, Seoul 04107, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2017,10,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"Hochreiter","year":"1997","journal-title":"Neural Comput."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Cho, K., Van Merri\u00ebnboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., and Bengio, Y. 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