SCOPUS 정보 검색 플랫폼

Environmental Sciences: Processes and Impacts

Volumn 15, Issue 5, 2013, Pages 996-1005

Predicting submicron air pollution indicators: A machine learning approach

(3) Pandey, Gaurav a Zhang, Bin a Jian, Le b

a MOUNT SINAI SCHOOL OF MEDICINE (United States)

b CURTIN UNIVERSITY (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AIR POLLUTANT; AIR POLLUTION INDICATOR; AIRBORNE PARTICLE; ARTICLE; CHINA; ENVIRONMENTAL PROTECTION; EXHAUST GAS; GOVERNMENT REGULATION; MACHINE LEARNING; METEOROLOGICAL PHENOMENA; MODEL; PARTICLE SIZE; PREDICTION; PRIORITY JOURNAL; WEATHER;

AIR POLLUTANTS; AIR POLLUTION; ALGORITHMS; ARTIFICIAL INTELLIGENCE; CHINA; ENVIRONMENTAL MONITORING; MODELS, CHEMICAL; PARTICLE SIZE; PARTICULATE MATTER; VEHICLE EMISSIONS; WEATHER;

EID: 84877255679 PISSN: 20507887 EISSN: 20507895 Source Type: Journal
DOI: 10.1039/c3em30890a Document Type: Article

Times cited : (35)

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