Artificial intelligence: Emerging approaches for environmental data analysis

EM: Air and Waste Management Association's Magazine for Environmental Managers

Volumn , Issue AUGUST, 2013, Pages 4-7

  Kadiyala, Akhil ^a   Kumar, Ashok ^a  

^a The University of Toledo   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84881351381     PISSN: 10889981     EISSN: None     Source Type: Trade Journal    
DOI: None     Document Type: Article

References (8)

1. Kim, J.-W.; Pachepsky, Y.A. Reconstructing missing daily precipitation data using regression trees and artificial neural networks for SWAT streamflow simulation; J. Hydrol. 2010, 394, 305-314.
2. Kadiyala, A.; Kumar, A. Application of CART and Minitab software to identify variables affecting indoor concentration levels; Environ. Prog. 2008, 27, 160-168.
3. Kadiyala, A.; Kumar, A. Development and application of a methodology to identify and rank the important factors affecting in-vehicle particulate matter; J. Haz. Mat. 2012, 213-214, 140-146.
4. Kadiyala, A.; Kumar, A. An examination of the sensitivity of sulfur dioxide, nitric oxide, and nitrogen dioxide concentrations to the important factors affecting air quality inside a public transportation bus; Atmosphere 2012, 3, 266-287.
5. Kadiyala, A.; Kumar, A. Quantification of in-vehicle gaseous contaminants of carbon dioxide and carbon monoxide under varying climatic conditions; Air Qual. Atmos. Health 2013, 6, 215-224.
6. Fernando, T.M.K.G.; Maier, H.R.; Dandy, G.C. Selection of input variables for data driven models: an average shifted histogram partial mutual information estimator approach; J. Hydrol. 2009, 367, 165-176.
7. Kadiyala, A., Kaur, D.; Kumar, A. Application of MATLAB to select an optimum performing genetic algorithm for predicting in-vehicle pollutant concentrations; Environ. Prog. Sust. En. 2010, 29, 398-405.
8. Kadiyala, A., Kaur, D.; Kumar, A. Development of hybrid genetic algorithm based neural networks using regression trees for modeling air quality inside a public transportation bus; J. Air & Waste Manage. Assoc. 2013, 63, 205-218.