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Forecasting Hydrogen sulfide Level Based Neural Computation
2016
International Journal of Computation and Applied Sciences
Abstract-this paper aims to design and implement an environmental monitoring and forecasting system based on neural computing approach. The output information is used for feeding the alarming systems. The data are collected in real-time through pollution monitoring sensors at Sohar region. Air pollution is a serious problem and coming from different sources that can lead to a catastrophic, which is needed to be monitored and controlled. The proposed work is monitored and managed the alerts on
doi:10.24842/1611/0004
fatcat:cojvqmpncjgrhjhom7w6wweaoy