Management of air quality in indian cities using low cost sensors application of statistical inference based on sparse data

dc.contributor.guide	Jana, Soumya and Fukuda, Atsushi
dc.coverage.spatial	Electrical Engineering
dc.creator.researcher	Kakarla, Anand
dc.date.accessioned	2023-01-31T05:59:32Z
dc.date.available	2023-01-31T05:59:32Z
dc.date.awarded	2022
dc.date.completed	2022
dc.date.registered	2013
dc.description.abstract	Available newline newline
dc.description.note	Reference page p. 158
dc.format.accompanyingmaterial	None
dc.format.dimensions	NA
dc.format.extent	xxiii, 176 p.
dc.identifier.uri	http://hdl.handle.net/10603/455367
dc.language	English
dc.publisher.institution	Department of Electrical Engineering
dc.publisher.place	Kandi
dc.publisher.university	Indian Institute of Technology Hyderabad
dc.relation	NA
dc.rights	university
dc.source.university	University
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Electrical and Electronic
dc.title	Management of air quality in indian cities using low cost sensors application of statistical inference based on sparse data
dc.title.alternative	Na
dc.type.degree	Ph.D.