This work aims to identify microorganisms in water samples from different environments, such as drinking and non-drinking water, using various image processing and classification techniques. A database of microscopic images will be used to identify the types of microorganisms present in contaminated water. The classification of microorganisms is done through image processing techniques, based on information obtained by the electronic device. Likewise, to know the major population of microorganisms present in the water and how these would be harmful for human consumption.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work aims to identify microorganisms in water samples from different environments, such as drinking and non-drinking water, using various image processing and classification techniques. A database of microscopic images will be used to identify the types of microorganisms present in contaminated water. The classification of microorganisms is done through image processing techniques, based on information obtained by the electronic device. Likewise, to know the major population of microorganisms present in the water and how these would be harmful for human consumption. 52 pp. Englisch. Seller Inventory # 9786203264081
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorrnrnRuby Daniela Mendieta Martinez, een ondernemende vrouw, die zich inzet voor kennis en de noodzaak om technologische alternatieven te onderzoeken, te ontwerpen en toe te passen. Zij draagt haar bevindingen graag over en is . Seller Inventory # 492551207
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This work aims to identify microorganisms in water samples from different environments, such as drinking and non-drinking water, using various image processing and classification techniques. A database of microscopic images will be used to identify the types of microorganisms present in contaminated water. The classification of microorganisms is done through image processing techniques, based on information obtained by the electronic device. Likewise, to know the major population of microorganisms present in the water and how these would be harmful for human consumption.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Seller Inventory # 9786203264081
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work aims to identify microorganisms in water samples from different environments, such as drinking and non-drinking water, using various image processing and classification techniques. A database of microscopic images will be used to identify the types of microorganisms present in contaminated water. The classification of microorganisms is done through image processing techniques, based on information obtained by the electronic device. Likewise, to know the major population of microorganisms present in the water and how these would be harmful for human consumption. Seller Inventory # 9786203264081
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Classification of microorganisms in water samples | Applying Deep Learning to Microscopy Images | Ruby Daniela Mendieta Martínez | Taschenbuch | Englisch | 2021 | Our Knowledge Publishing | EAN 9786203264081 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 120411642