A Review on Various Techniques used in Predicting Pollutants

International Conference on Recent Advancements and Effectual Researches in Engineering Science and Technology

Baby, Aiswarya^1 ; Alexander, Aneena Ann^1

Department of Computer Science and Engineering, St Joseph's College of Engineering and Technology, Palai, India^1

关键词: Air contamination;    Hybrid method;    Number of vehicles;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/396/1/012016/pdf
DOI  :  10.1088/1757-899X/396/1/012016

来源: IOP

【 摘 要 】

Pollution is now becoming a biggest problem in today's age. In numerous nations, because of the high number of vehicles that are accessible on the streets, air contamination has progressed toward becoming a difficult issue. This eventually leads to emission of different gases. So there is a need to predict the amount of emission beforehand. There have been various research commitments in the region of anticipating toxins. Artificial intelligence (AI) are often employed where a problem requires estimation or prediction. Most of the methods used are based on neural network, fuzzy logic, hybrid methods and others. This paper discusses findings and limitations of existing contributions in the field of pollution prediction.