dara suresh (45 risultati)

Condizione: New.

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. Neuware -Deep Learning techniques are a very effective tool in face detection. In this book, deep learning techniques have been used to identify dual faces nothing but by detecting dual shot faces. As the data is emerging day by day with high dimensionality, recognizing dual faces is a major problem. So wasting time on identifying images is like fiddling around. In order to save time and get absolute accuracy, we have implemented a fast preprocessing technique known as convolution neural network along with feature extraction which is used to know relevant features to detect faces/images. By performing this robust method, our intention is to detect dual images in an efficient way. The experiment is performed on extensive good face detecting benchmark datasets like FDDB (Face detection dataset and benchmark), wider face datasets. CNN with FE demonstrates the results with superiority and the accuracy was in-depth analyzed by CNN classifier.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch.

Taschenbuch. Condizione: Neu. Dual Shot Face Detecting Using Deep Learning | Suresh Dara (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786203027341 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. Neuware -This book presenting a frame work on an e-learning model on web based technology with reference to content management system. Traditional LMS failed in providing the better services, does not support personalization and lack of interoperability between the users and machines. So there is a huge demand for Enhanced Learning Management Systems (ELMS) to provide the improvised services with better interoperability. In terms of semantic web, inference engines are identified as the better mechanisms for interoperability. This research, propose a framework for Enhanced Learning Management Systems (ELMS) with support of a sematic web technologies and inference engine. It has been observed that, as compared to the traditional learning management systems our proposed framework is improvised the performance in terms of better understandability and efficient management of content.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Englisch.

Taschenbuch. Condizione: Neu. An E-Learning Model on Web Based Technology with Reference to CMS | A Functional Approach | Suresh Dara (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786203040623 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condizione: New.

Taschenbuch. Condizione: Neu. Neuware -Este libro presenta un marco de trabajo sobre un modelo de e-learning en tecnología basada en la web con referencia al sistema de gestión de contenidos. Los LMS tradicionales no proporcionan mejores servicios, no soportan la personalización y carecen de interoperabilidad entre los usuarios y las máquinas. Por lo tanto, hay una gran demanda de Sistemas de Gestión de Aprendizaje Mejorados (ELMS) para proporcionar los servicios improvisados con una mejor interoperabilidad. En términos de web semántica, los motores de inferencia se identifican como los mejores mecanismos de interoperabilidad. Esta investigación propone un marco para los Sistemas de Gestión de Aprendizaje Mejorados (ELMS) con el apoyo de las tecnologías de la web semántica y el motor de inferencia. Se ha observado que, en comparación con los sistemas tradicionales de gestión del aprendizaje, el marco propuesto mejora el rendimiento en términos de comprensión y gestión eficiente del contenido.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Spanisch.

Condizione: New.

Taschenbuch. Condizione: Neu. Un modèle d'apprentissage en ligne sur les technologies du Web en référence aux CMS | Une approche fonctionnelle | Suresh Dara (u. a.) | Taschenbuch | Französisch | Editions Notre Savoir | EAN 9786203300147 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. Neuware -Dit boek presenteert een raamwerk voor een e-learning model op web gebaseerde technologie met verwijzing naar content management systeem. Traditionele LMS falen in het verstrekken van de betere diensten, biedt geen ondersteuning voor personalisatie en gebrek aan interoperabiliteit tussen de gebruikers en machines. Er is dus een grote vraag naar Enhanced Learning Management Systems (ELMS) om de geïmproviseerde diensten met een betere interoperabiliteit aan te bieden. In termen van semantisch web, worden inferentie motoren geïdentificeerd als de betere mechanismen voor interoperabiliteit. Dit onderzoek stelt een raamwerk voor Enhanced Learning Management Systems (ELMS) voor met ondersteuning van semantische webtechnologieën en een inferentie-engine. Het is waargenomen dat, in vergelijking met de traditionele learning management systemen onze voorgestelde kader is de prestaties verbeterd in termen van betere begrijpelijkheid en efficiënt beheer van de inhoud.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Niederländisch.

Taschenbuch. Condizione: Neu. Model' älektronnogo obucheniq na osnowe web-tehnologij so ssylkoj na CMS | Funkcional'nyj podhod | Suresh Dara (u. a.) | Taschenbuch | Russisch | Sciencia Scripts | EAN 9786203300444 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. Neuware -Niniejsza ksi¿¿ka przedstawia ramy pracy nad modelem e-learningu w oparciu o technologi¿ internetow¿ w odniesieniu do systemu zarz¿dzania tre¿ci¿. Tradycyjne systemy LMS nie s¿ w stanie zapewni¿ lepszych us¿ug, nie wspieraj¿ personalizacji i brak interoperacyjnöci mi¿dzy u¿ytkownikami i maszynami. Istnieje wi¿c ogromne zapotrzebowanie na Enhanced Learning Management Systems (ELMS), aby zapewni¿ ulepszone us¿ugi z lepsz¿ interoperacyjnöci¿. W zakresie sieci semantycznej, silniki wnioskowania s¿ identyfikowane jako lepsze mechanizmy interoperacyjnöci. Niniejsze badania, proponuj¿ ramy dla Enhanced Learning Management Systems (ELMS) przy wsparciu technologii sieci semantycznej i silnika wnioskowania. Zaobserwowano, ¿e w porównaniu do tradycyjnych systemów zarz¿dzania nauczaniem, nasze proponowane ramy poprawiaj¿ wydajnö¿ w zakresie lepszego zrozumienia i efektywnego zarz¿dzania tre¿ci¿.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Polnisch.

Taschenbuch. Condizione: Neu. Neuware -Este livro apresenta um frame work sobre um modelo de e-learning em tecnologia baseada na web com referência ao sistema de gestão de conteúdos. O LMS tradicional falhou na prestação dos melhores serviços, não suporta a personalização e a falta de interoperabilidade entre os utilizadores e as máquinas. Portanto, há uma enorme demanda por Sistemas Melhorados de Gerenciamento de Aprendizagem (ELMS) para fornecer os serviços improvisados com melhor interoperabilidade. Em termos de web semântica, os motores de inferência são identificados como os melhores mecanismos para a interoperabilidade. Esta pesquisa, propõe uma estrutura para Sistemas Melhorados de Gestão da Aprendizagem (ELMS) com suporte de tecnologias web semântica e motor de inferência. Tem sido observado que, em comparação com os sistemas tradicionais de gestão da aprendizagem, o nosso quadro proposto é improvisado o desempenho em termos de melhor compreensão e gestão eficiente do conteúdo.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Portugiesisch.

Taschenbuch. Condizione: Neu. Um Modelo de E-Learning sobre Tecnologia Baseada na Web com Referência a CMS | Uma Abordagem Funcional | Suresh Dara (u. a.) | Taschenbuch | Portugiesisch | 2021 | Edições Nosso Conhecimento | EAN 9786203300437 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. Un modello di e-learning su tecnologia web-based con riferimento al CMS | Un approccio funzionale | Suresh Dara (u. a.) | Taschenbuch | Italienisch | Edizioni Sapienza | EAN 9786203300406 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. Ein E-Learning-Modell auf webbasierter Technologie mit Bezug auf CMS | Ein funktionaler Ansatz | Suresh Dara (u. a.) | Taschenbuch | Deutsch | Verlag Unser Wissen | EAN 9786203300154 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Deep Learning techniques are a very effective tool in face detection. In this book, deep learning techniques have been used to identify dual faces nothing but by detecting dual shot faces. As the data is emerging day by day with high dimensionality, recognizing dual faces is a major problem. So wasting time on identifying images is like fiddling around. In order to save time and get absolute accuracy, we have implemented a fast preprocessing technique known as convolution neural network along with feature extraction which is used to know relevant features to detect faces/images. By performing this robust method, our intention is to detect dual images in an efficient way. The experiment is performed on extensive good face detecting benchmark datasets like FDDB (Face detection dataset and benchmark), wider face datasets. CNN with FE demonstrates the results with superiority and the accuracy was in-depth analyzed by CNN classifier. 68 pp. Englisch.

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presenting a frame work on an e-learning model on web based technology with reference to content management system. Traditional LMS failed in providing the better services, does not support personalization and lack of interoperability between the users and machines. So there is a huge demand for Enhanced Learning Management Systems (ELMS) to provide the improvised services with better interoperability. In terms of semantic web, inference engines are identified as the better mechanisms for interoperability. This research, propose a framework for Enhanced Learning Management Systems (ELMS) with support of a sematic web technologies and inference engine. It has been observed that, as compared to the traditional learning management systems our proposed framework is improvised the performance in terms of better understandability and efficient management of content. 92 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dara SureshSuresh Dara currently working as a Professor in the Department of CSE, B V Raju Institute of Technology, Narsapur, India. He has completed his Ph.D. from IIT(ISM) Dhanbad, India in 2015. He has good research publications i.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Banka HaiderDr. Haider Banka received his Ph.D. in 2008 and joined in the Department of Computer Science and Engineering, Indian School of Mines, Dhanbad in the year 2007 and currently working as an Associate Professor. Dr. Banka has.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dara SureshSuresh Dara, currently working as a Professor/CSE, B V Raju Institute of Technology, Narsapur, Medak, India. He completed his Ph.D. from IIT(ISM) Dhanbad in 2005. He has published many research articles in reputed indexed .

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Este libro presenta un marco de trabajo sobre un modelo de e-learning en tecnología basada en la web con referencia al sistema de gestión de contenidos. Los LMS tradicionales no proporcionan mejores servicios, no soportan la personalización y carecen de interoperabilidad entre los usuarios y las máquinas. Por lo tanto, hay una gran demanda de Sistemas de Gestión de Aprendizaje Mejorados (ELMS) para proporcionar los servicios improvisados con una mejor interoperabilidad. En términos de web semántica, los motores de inferencia se identifican como los mejores mecanismos de interoperabilidad. Esta investigación propone un marco para los Sistemas de Gestión de Aprendizaje Mejorados (ELMS) con el apoyo de las tecnologías de la web semántica y el motor de inferencia. Se ha observado que, en comparación con los sistemas tradicionales de gestión del aprendizaje, el marco propuesto mejora el rendimiento en términos de comprensión y gestión eficiente del contenido. 88 pp. Spanisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep Learning techniques are a very effective tool in face detection. In this book, deep learning techniques have been used to identify dual faces nothing but by detecting dual shot faces. As the data is emerging day by day with high dimensionality, recognizing dual faces is a major problem. So wasting time on identifying images is like fiddling around. In order to save time and get absolute accuracy, we have implemented a fast preprocessing technique known as convolution neural network along with feature extraction which is used to know relevant features to detect faces/images. By performing this robust method, our intention is to detect dual images in an efficient way. The experiment is performed on extensive good face detecting benchmark datasets like FDDB (Face detection dataset and benchmark), wider face datasets. CNN with FE demonstrates the results with superiority and the accuracy was in-depth analyzed by CNN classifier.

Condizione: New. Print on Demand.