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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2021

    6204725432 / 9786204725437

    • Brossura

    Da: moluna, Greven, Germaniamoluna

    Venditore con 5 stelle
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    Condizione: Nuovo

    EUR 50,66

    EUR 48,99 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: Più di 20 disponibili

    Condizione: New.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2020

    6203027340 / 9786203027341

    • Brossura
    • Print on Demand

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 45,66

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibile

    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.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2020

    6203027340 / 9786203027341

    • Brossura
    • Print on Demand

    Da: moluna, Greven, Germaniamoluna

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 34,25

    EUR 48,99 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: Più di 20 disponibili

    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.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2021

    6204725432 / 9786204725437

    • Brossura
    • Print on Demand

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 69,44

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibile

    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recently, mobile devices are becoming the primary platforms for every user who always roam around and access the cloud computing applications. Mobile cloud computing (MCC) combines the both mobile and cloud computing, which provides optimal services to the mobile users. In next-generation mobile environments, mainly due to the huge number of mobile users in conjunction with the small cell size and their portable information, the influence of mobility on the network performance is strengthened. In this, we propose an energy efficient mobility management in mobile cloud computing (E2M2MC2) system for 5G heterogeneous networks. In this book, the major improvement in proposed E2M2MC2 system was proposed ERMO2 (Elective Repeat Multi-Objective Optimization) Algorithm BTS (BackTrack Searching) Algorithm and CHS (Cluster Head Selection) Algorithm, and demonstrated all results by comparing with few existing known algorithms for showing better improvement of our proposed approaches.…