Abstract
Nowadays, global warming surroundings as well as heavy automobile usage leads to wide changes in the environmental conditions that causes rise in the toxic level of the surrounding air which may disturb the lives of individuals. Every problem in this internet era gives the solution with smart objects that are connected remotely to one another and notifies the user about the problem occurred ahead. Sensors extended their way to measure the quality of air in the surroundings by measuring the toxic levels of the gases as well as to filter the harmful gases which are leading to pollution in turn causes to death. This work concentrates on profiling of chemicals in the air pollutants. After profiling, the toxic levels can be calculated using Air Quality index methods that give the weighed values of individual air pollutants in the environment which leads to the scientific research. It gives the prototype to Cogno-Monitoring System that uses air quality algorithm and connects the air quality system to smart device for notifying about air quality in areas that the device was sensed.
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Prathyusha, K., Chakravarthy, A. (2020). Chemical Sensing Through Cogno-Monitoring System for Air Quality Evaluation. In: Gunjan, V., Zurada, J., Raman, B., Gangadharan, G. (eds) Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough. Studies in Computational Intelligence, vol 885 . Springer, Cham. https://doi.org/10.1007/978-3-030-38445-6_3
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DOI: https://doi.org/10.1007/978-3-030-38445-6_3
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