标题
Applications of Python to evaluate environmental data science problems
作者
关键词
-
出版物
Environmental Progress & Sustainable Energy
Volume 36, Issue 6, Pages 1580-1586
出版商
Wiley
发表日期
2017-10-31
DOI
10.1002/ep.12786
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Applications of R to evaluate environmental data science problems
- (2017) Akhil Kadiyala et al. Environmental Progress & Sustainable Energy
- Vector Time Series-Based Radial Basis Function Neural Network Modeling of Air Quality Inside a Public Transportation Bus Using Available Software
- (2017) Akhil Kadiyala et al. Environmental Progress & Sustainable Energy
- Univariate time series based radial basis function neural network modeling of air quality inside a public transportation bus using available software
- (2016) Akhil Kadiyala et al. Environmental Progress & Sustainable Energy
- Multivariate time series based radial basis function neural network modeling of air quality inside a public transportation bus using available software
- (2016) Akhil Kadiyala et al. Environmental Progress & Sustainable Energy
- Univariate time series based back propagation neural network modeling of air quality inside a public transportation bus using available software
- (2015) Akhil Kadiyala et al. Environmental Progress & Sustainable Energy
- Multivariate time series based back propagation neural network modeling of air quality inside a public transportation bus using available software
- (2015) Akhil Kadiyala et al. Environmental Progress & Sustainable Energy
- Vector-time-series-based back propagation neural network modeling of air quality inside a public transportation bus using available software
- (2015) Akhil Kadiyala et al. Environmental Progress & Sustainable Energy
- Multivariate time series models for prediction of air quality inside a public transportation bus using available software
- (2014) Akhil Kadiyala et al. Environmental Progress & Sustainable Energy
- Evaluation of indoor air quality models with the ranked statistical performance measures using available software
- (2012) Akhil Kadiyala et al. Environmental Progress & Sustainable Energy
- Univariate time series prediction of air quality inside a public transportation bus using available software
- (2012) Akhil Kadiyala et al. Environmental Progress & Sustainable Energy
- Development and application of a methodology to identify and rank the important factors affecting in-vehicle particulate matter
- (2012) Akhil Kadiyala et al. JOURNAL OF HAZARDOUS MATERIALS
- Development of hybrid genetic-algorithm-based neural networks using regression trees for modeling air quality inside a public transportation bus
- (2012) Akhil Kadiyala et al. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION
- 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
- (2012) Akhil Kadiyala et al. Atmosphere
- Quantification of in-vehicle gaseous contaminants of carbon dioxide and carbon monoxide under varying climatic conditions
- (2011) Akhil Kadiyala et al. Air Quality Atmosphere and Health
- Application of MATLAB to select an optimum performing genetic algorithm for predicting in-vehicle pollutant concentrations
- (2010) Akhil Kadiyala et al. Environmental Progress & Sustainable Energy
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