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In the present world there is a confluence of technologies and areas of knowledge. The degree of automation in various industrial applications as well as the use of artificial intelligence is increasingly present in industrial production lines. Inside the nuclear industry, opportunities are sought for safety mechanisms to be applied in order to automate the monitoring of radioactive materials such as those from nuclear fuel cycle process tailings. In this context, it is very useful to develop software capable of alarming when a variation in the spectroscopic signature is detected. When this determines some diversity, being able to assist in decision making in radiological emergency situations. Given this, the present study raises the feasibility of developing a software (developed in JAVA), capable of automatically identifying an isotope by surveying its gamma spectrum.

DEMONSTRAÇÃO DE UM SOFTWARE QUE UTILIZA O ALGORITMO NAIVE BAYES PARA IDENTIFICAÇÃO DE RADIONUCLÍDEOS ATRAVÉS DE ESPETROSCOPIA GAMA.