The Air Quality Index (AQI) dataset contains information on measurements of pollutants and ambient air quality conditions at certain location that can be used to predict quality. Unfortunately, this often has many missing observations imbalanced classes. Both these problems affect the performance prediction model. In particular, predictions for minority class are very important because inaccura...

Owing to climate change, industrial pollution, and population gathering, the air quality status in many places China is not optimal. The continuous deterioration of air-quality conditions has considerably affected economic development health China’s people. However, diversity complexity factors which affect pollution render monitoring data complex nonlinear. To improve accuracy prediction index...

In this paper we present a model based on computational intelligence and natural language generation for the automatic of textual summaries from numerical data series, aiming to provide insights which help users understand relevant information hidden in data. Our includes fuzzy temporal ontology with references addresses problem managing imprecise knowledge, is series. We fully describe real us...

BACKGROUND Since the industrial revolution, the rate of industrialization and urbanization has increased dramatically. Regarding this issue, specific regions mostly located in developing countries have been confronted with serious problems, particularly environmental problems among which air pollution is of high importance. METHODS Eleven parameters, including CO, SO2, PM10, PM2.5, O3, NO2, b...

This research work presents data of the ambient air quality status of Ariyalur district of Tamilnadu, India. The air quality was assessed based on new national ambient air quality standard. The selected parameters were PM2.5, PM10, SO2, NO2. The average value of PM10 was found beyond the permissible limit at near power plant and near coal mill. The outcome of the study has been presented in the...

Analisis gerombol berfungsi untuk mengelompokkan objek-objek dengan kesamaan karakteristik yang tinggi dalam 1 sementara ketidaksamaan berada berbeda. terbagi menjadi 2 yaitu hierarki dan non-hierarki. Penelitian ini menerapkan analisis non-hierarki metode k-medoid menggerombolkan kabupaten/kota beserta empat sektornya transportasi, industri/agro industri, pemukiman, perkantoran/komersial di Pr...