Roychoudri (12 results)

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2020

    620279397X / 9786202793971

    • Softcover

    Seller: Books Puddle, Woodside, NY, U.S.A.Books Puddle

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  • Language: English

    Published by LAP LAMBERT Academic Publishing Sep 2020, 2020

    620279397X / 9786202793971

    • Softcover
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    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -MANET topology is more complex due to this functionality, which is more complicated and anxious within this network building mechanism and hence nodes are more prone to compromising and are primarily vulnerable to Denial Service Assail (DoS) assailing by malicious nodes or intruders[6]. Attackers have used this idea to conduct DoS attacks similar to floods; the branded attack on MANET is a black hole and gray hole. In this post, we have projected a new automated protection system that uses SVM in defense of malicious AODV attacks. The method proposed uses machines to classify nodes as malevolent. In MANET 's context, such as malicious nodes which over time change misconceptions or rapid changes in environmental factors such as movement speed and communication range are considerably resilient to these changes. This paper presented an algorithm used to track MANET behavior by a specific node to detect attacks on ad hoc networks based on secure data transmission. Compared to conventional models, the new model reveals that it has improved results in terms of detection of malicious users and also an increased package delivery volume 84 pp. Englisch.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing Sep 2020, 2020

    620279402X / 9786202794022

    • Softcover
    • Print on Demand

    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Last few years, one of the hot topic in health care informatics is breast cancer, because it is the second main cause of cancer-related deaths in women. Breast cancer can be identified using a biopsy where tissue is removed and studied under microscope. The diagnosis is based on the qualification of the histopathologic, who will look for abnormal cells. However, if the histopathologic is not well-trained, this may lead to wrong diagnosis. With the recent advances in analysis of medical related data and machine learning, there is an interest in attempting to develop a reliable pattern recognition based systems to improve the quality of diagnosis. In this paper we focus on classification of breast cancer as binary labelled data because is it a Benin or maligned. Thus, the goal is to classify whether the breast cancer is benign or malignant and predict the recurrence and non-recurrence of malignant cases after a certain period. To achieve this we have used machine learning classification methods to fit a function that can predict the discrete class of new input. 76 pp. Englisch.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2020

    620279397X / 9786202793971

    • Softcover
    • Print on Demand

    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2020

    620279397X / 9786202793971

    • Softcover
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    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - MANET topology is more complex due to this functionality, which is more complicated and anxious within this network building mechanism and hence nodes are more prone to compromising and are primarily vulnerable to Denial Service Assail (DoS) assailing by malicious nodes or intruders[6]. Attackers have used this idea to conduct DoS attacks similar to floods; the branded attack on MANET is a black hole and gray hole. In this post, we have projected a new automated protection system that uses SVM in defense of malicious AODV attacks. The method proposed uses machines to classify nodes as malevolent. In MANET 's context, such as malicious nodes which over time change misconceptions or rapid changes in environmental factors such as movement speed and communication range are considerably resilient to these changes. This paper presented an algorithm used to track MANET behavior by a specific node to detect attacks on ad hoc networks based on secure data transmission. Compared to conventional models, the new model reveals that it has improved results in terms of detection of malicious users and also an increased package delivery volume.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2020

    620279397X / 9786202793971

    • Softcover
    • Print on Demand

    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2020

    620279397X / 9786202793971

    • Softcover
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    Seller: moluna, Greven, Germanymoluna

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Roychoudri SubramaniDr S M Roychoudri Working as a Professor and HEAD in the Department of Computer Science and Engineering at Usha Rama College of Engineering and Technology , Vijayawada , Andhra Pradesh , INDIA.Dr KPNV Satyasree Wo.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2020

    620279402X / 9786202794022

    • Softcover
    • Print on Demand

    Seller: moluna, Greven, Germanymoluna

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Roychoudri Dr. S. M.Dr S M Roychoudri working as a Professor & Head in Department of Computer Science and Engineering at Usha Rama College of Engineering and Technology , AP. Dr K P N V Satyasree working as a Professor in Department . …

  • Language: English

    Published by LAP LAMBERT Academic Publishing Sep 2020, 2020

    620279397X / 9786202793971

    • Softcover
    • Print on Demand

    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -MANET topology is more complex due to this functionality, which is more complicated and anxious within this network building mechanism and hence nodes are more prone to compromising and are primarily vulnerable to Denial Service Assail (DoS) assailing by malicious nodes or intruders[6]. Attackers have used this idea to conduct DoS attacks similar to floods; the branded attack on MANET is a black hole and gray hole. In this post, we have projected a new automated protection system that uses SVM in defense of malicious AODV attacks. The method proposed uses machines to classify nodes as malevolent. In MANET 's context, such as malicious nodes which over time change misconceptions or rapid changes in environmental factors such as movement speed and communication range are considerably resilient to these changes. This paper presented an algorithm used to track MANET behavior by a specific node to detect attacks on ad hoc networks based on secure data transmission. Compared to conventional models, the new model reveals that it has improved results in terms of detection of malicious users and also an increased package delivery volumeVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing Sep 2020, 2020

    620279402X / 9786202794022

    • Softcover
    • Print on Demand

    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Last few years, one of the hot topic in health care informatics is breast cancer, because it is the second main cause of cancer-related deaths in women. Breast cancer can be identified using a biopsy where tissue is removed and studied under microscope. The diagnosis is based on the qualification of the histopathologic, who will look for abnormal cells. However, if the histopathologic is not well-trained, this may lead to wrong diagnosis. With the recent advances in analysis of medical related data and machine learning, there is an interest in attempting to develop a reliable pattern recognition based systems to improve the quality of diagnosis. In this paper we focus on classification of breast cancer as binary labelled data because is it a Benin or maligned. Thus, the goal is to classify whether the breast cancer is benign or malignant and predict the recurrence and non-recurrence of malignant cases after a certain period. To achieve this we have used machine learning classification methods to fit a function that can predict the discrete class of new input.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2020

    620279397X / 9786202793971

    • Softcover
    • Print on Demand

    Seller: preigu, Osnabrück, Germanypreigu

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    Taschenbuch. Condition: Neu. Enhanced Secure communication AODV routing protocol in MANETS | Subramani Roychoudri (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202793971 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu Print on Demand. …

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2020

    620279402X / 9786202794022

    • Softcover
    • Print on Demand

    Seller: preigu, Osnabrück, Germanypreigu

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    Condition: New

    £ 31.16

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    Taschenbuch. Condition: Neu. Classification of breast cancer data using enhanced supervised ML | S. M. Roychoudri (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202794022 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu Print on Demand. …