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Crearea unei rețele neuronale pentru analiza parcărilor auto (Graf de rețea neuronală)

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dc.contributor CATRUC, Mariana
dc.contributor.advisor BEȘLIU, Corina
dc.contributor.author BERCO, Victor
dc.date.accessioned 2023-02-15T09:40:14Z
dc.date.available 2023-02-15T09:40:14Z
dc.date.issued 2023
dc.identifier.citation BERCO, Victor. Crearea unei rețele neuronale pentru analiza parcărilor auto (Graf de rețea neuronală): tz. de master: Programul de studiu: Ingineria software. Cond. şt. Corina BEȘLIU, 2023. en_US
dc.identifier.uri http://repository.utm.md/handle/5014/22239
dc.description Fişierul ataşat conţine: Abstract, Adnotare, Contents, Introduction, References. en_US
dc.description.abstract În prezenta lucrare se va studia posibilitatea elaborării unui sistem, bazat pe rețelele neuronale în bază de graph, ce ar putea să prelucreze imaginele video, captate de pe camerele de luat vederi, și să determine cu o precizie înaltă locurile disponibile de parcare. en_US
dc.description.abstract One of the most annoying jobs people have to do these days is park cars. Nowadays, finding a parking spot has become a problem that shouldn't be ignored because it takes time and effort. Finding a parking spot is a major hassle, especially in urban areas. This essay tries to develop one parking system that, in many ways, lessens parking problems. The method described in the study classifies parking spots in a park into empty and filled slots using a machine learning model called a convolution neural network (CNN). In this study, the Transfer Learning approach is used to optimize the categorization task. Parking issues touch more than just the drivers; they also have a significant negative impact on the environment and much broader and more widespread concerns. Therefore, it is crucial to have a parking system in place. The model suggested in the research drastically reduces the amount of time a motorist has wait for a vehicle by sending parking instructions far in advance. en_US
dc.language.iso en en_US
dc.publisher Universitatea Tehnică a Moldovei en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject parking en_US
dc.subject neural networks en_US
dc.subject rețele neuronale en_US
dc.subject parcări en_US
dc.title Crearea unei rețele neuronale pentru analiza parcărilor auto (Graf de rețea neuronală) en_US
dc.type Thesis en_US


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