Analysis of Pollution Level Near Mining Area using Neural Network
| dc.contributor.author | Bantwal, R. | |
| dc.contributor.author | Vittal, K.P. | |
| dc.date.accessioned | 2026-02-06T06:33:47Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | The curve fitting analysis is performed on time-stamped signal values. Then a situational analysis graphical user interface (GUI) is developed to analyze the data which is from a mining area. The resulting waveform plots and the designed GUI are presented. The data is from the mining area namely Singrauli. Five environmental parameters related to pollution, namely CO, SO<inf>2</inf>, PM10, PM2.5, and Ozone are considered for the analysis using neural network. © Grenze Scientific Society, 2024. | |
| dc.identifier.citation | 15th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024, 2024, Vol.1, , p. 748-753 | |
| dc.identifier.uri | https://doi.org/ | |
| dc.identifier.uri | https://idr.nitk.ac.in/handle/123456789/28858 | |
| dc.publisher | Grenze Scientific Society | |
| dc.subject | CO | |
| dc.subject | curve fitting | |
| dc.subject | environmental parameters | |
| dc.subject | graphical user interface | |
| dc.subject | mining | |
| dc.subject | neural network | |
| dc.subject | ozone | |
| dc.subject | pollution | |
| dc.subject | situational analysis | |
| dc.subject | SO2 | |
| dc.title | Analysis of Pollution Level Near Mining Area using Neural Network |
