Combined refractory materials with the addition of technogenic waste for metallurgical devices

Bazhin, V. Yu.; Glazev, M.

doi:10.17073/1683-4518-2020-11-21-26

Cited by 1 publication

(1 citation statement)

References 9 publications

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“…The terminal layout is shown in Figure 6. However, at this stage of its development, a number of tasks arise that are extremely necessary to solve, in particular, to work out the anti-vandal protection system of the terminal, it is necessary to test the receiving and feeding mechanism [14][15]. After analyse Table 2 we conclusion all information of error rate in Table 3 and Figure 3:.…”

Section: Resultsmentioning

confidence: 99%

Research and development of artificial intelligence system for waste identification

2021

Proceedings of the III International Workshop on Modeling, Information Processing and Computing (MIP: Computing-2021)

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The article discusses the possibilities of using an artificial intelligence system for waste recognition. In article is collection some interesting program product software for waste management. The author emphasizes the possibility of developing a series of software products for waste management and developing waste management competencies in St. Petersburg residents. In the last task, the ECO-365 software product may also be useful for better ecology in all peace. Subsequently, the development of another software product was carried out, which allowed using artificial intelligence to determine the size of waste. The emphasis in this study is made on software products used not only for recognizing plastic, but on the most dangerous from the point of view of ecology, LED lamps, batteries, incl. lithium telephone batteries and batteries. Of course, the creation of fandomats of this kind, an increase in their number should provoke a widespread growth of the environmental movement, the popularization of projects for the separate collection of waste.

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Section: Resultsmentioning

confidence: 99%

Research and development of artificial intelligence system for waste identification

2021

Proceedings of the III International Workshop on Modeling, Information Processing and Computing (MIP: Computing-2021)

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Combined refractory materials with the addition of technogenic waste for metallurgical devices

Abstract: .

Cited by 1 publication

References 9 publications

Research and development of artificial intelligence system for waste identification

Research and development of artificial intelligence system for waste identification

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