Sravani a (50 Ergebnisse)

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Taschenbuch. Zustand: Neu. "Pressure Distribution Over the Modified Nozzle" | Modified Nozzle | Sravani Madhurakavi (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202684057 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Recuperación y clasificación de imágenes basada en la extracción selectiva de características | A. Sravani (u. a.) | Taschenbuch | Spanisch | 2023 | Ediciones Nuestro Conocimiento | EAN 9786204140605 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

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Taschenbuch. Zustand: Neu. "Distribuzione della pressione sull'ugello modificato" | Ugello modificato | Sravani Madhurakavi (u. a.) | Taschenbuch | Italienisch | 2020 | Edizioni Sapienza | EAN 9786202690898 | Verantwortliche Person für die EU: Edizioni Sapienza, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2019-05-01 Pages: 244 Publisher: China Machine Press book provides the reader with a comprehensive understanding of various aspects of IIoT safety. and practical techniques for deploying security IIoT used to build solutions. The book describes the basic principles IIoT security threat model. reference architecture. as well as real life examples analysis study. .…

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PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this digital era with the availability of enormous digital data on the Internet, the users have to search for different means of retrieving suitable data from the unorganized data. Classification is one such technique which has helped the researchers worldwide to narrow their search. Among the data available due to the increase in digital technologies availability of multimedia data is rapidly increasing day by day. To retrieve the required data (images) many researchers have given algorithms or methods to retrieve images among which image classification is one. It has played an important role in many applications like Medicine, Photogrammetric, and Computer Vision etc.In this project, an attempt is made to design a methodology for an efficient image classification system by extracting 50 features followed by image classification by incorporating different classification techniques. This project also deals with retrieving a new image instance which is not present in the training data set followed by image classification. A comparison is done between the classification techniques used and experimental results conducted on 1150 different images belonging to 17 different categories 84 pp. Englisch.…

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -En esta era digital, con la disponibilidad de enormes datos digitales en Internet, los usuarios tienen que buscar diferentes medios para recuperar los datos adecuados de los datos no organizados. La clasificación es una de esas técnicas que ha ayudado a los investigadores de todo el mundo a acotar su búsqueda. Entre los datos disponibles, debido al aumento de las tecnologías digitales, la disponibilidad de datos multimedia aumenta rápidamente día a día. Para recuperar los datos necesarios (imágenes), muchos investigadores han creado algoritmos o métodos para recuperar imágenes, entre los que se encuentra la clasificación de imágenes. Ha desempeñado un papel importante en muchas aplicaciones como la medicina, la fotogrametría y la visión por ordenador, etc.En este proyecto se intenta diseñar una metodología para un sistema eficiente de clasificación de imágenes mediante la extracción de 50 características, seguida de la clasificación de imágenes mediante la incorporación de diferentes técnicas de clasificación. Este proyecto también trata de la recuperación de una nueva instancia de imagen que no está presente en el conjunto de datos de entrenamiento seguido de la clasificación de imágenes. Se comparan las técnicas de clasificación utilizadas y los resultados experimentales obtenidos con 1.150 imágenes diferentes pertenecientes a 17 categorías distintas. 88 pp. Spanisch.…

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this digital era with the availability of enormous digital data on the Internet, the users have to search for different means of retrieving suitable data from the unorganized data. Classification is one such technique which has helped the researchers worldwide to narrow their search. Among the data available due to the increase in digital technologies availability of multimedia data is rapidly increasing day by day. To retrieve the required data (images) many researchers have given algorithms or methods to retrieve images among which image classification is one. It has played an important role in many applications like Medicine, Photogrammetric, and Computer Vision etc.In this project, an attempt is made to design a methodology for an efficient image classification system by extracting 50 features followed by image classification by incorporating different classification techniques. This project also deals with retrieving a new image instance which is not present in the training data set followed by image classification. A comparison is done between the classification techniques used and experimental results conducted on 1150 different images belonging to 17 different categories.…

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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sravani A.A.Sravani, currently working as Assistant Professor, Department of CSE in Vignan s Institute of information technology. She has 7 years of teaching experience. She is expertise in Machine Learning and Image Processing. She .…