Ambient Air Quality Estimation using Supervised Learning Techniques

Estimation of Ambient Air Quality in Delhi

Ambient Air Quality (A)

Supplement Aims and Scope or limited or prevented to help protect human health and our environment. In a field where the literature is ever-expanding, practitioners and researchers increasingly need to have ready access to up-to-date, high-quality scholarly articles on areas of ongoing interest in environmental health. This supplement aims to address this need by presenting contemporary article...

Lightly Supervised Quality Estimation

Evaluating the quality of output from language processing systems such as machine translation or speech recognition is an essential step in ensuring that they are sufficient for practical use. However, depending on the practical requirements, evaluation approaches can differ strongly. Often, reference-based evaluation measures (such as BLEU or WER) are appealing because they are cheap and allow...

Evaluation of Seasonal and Spatial Variations of Air Quality Index and Ambient Air Pollutants in Isfahan Using Geographic Information System

Introduction: Due to more than 1.7 million population, many vehicles and large industries around Isfahan, it has become one of the most polluted cities in Iran. The aim of this study was a spatial analysis of the concentrations of air pollutants and the air quality index (AQI). Materials and Methods: In this descriptive and evaluative study, the air quality data of 7 monitoring stations in 201...

Incremental Learning on Sentiment Analysis Using Weakly Supervised Learning Techniques

Due to the advanced technologies of Web 2.0, people are participating in and exchanging opinions through social media sites such as Web forums and Weblogs etc., Classification and Analysis of such opinions and sentiment information is potentially important for both service and product providers, users because this analysis is used for making valuable decisions. Sentiment is expressed differentl...