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IRAJ VOLUMES

IRAJ Volume 14 Issue 1, 2018-10-01 To 2018-12-31

  • pages (313-319)

    Reads (154)

    Topic Name: APPLICATION OF CLASSIFIERS TECHNIQUES FOR IMAGE DETECTION BASED ON MACHINE LEARNING

    Author (s) : Sumit Sahu, Rachit Agrawal, Shivangi Pathak

    Keywords : Image Processing, Machine Learning, Classifiers


    Quick abstract

    Image processing has been topics of research from past and researchers have set mile stones in image processing. The major challenges in image processing has been to detect the particular object in images, matching images, handling distorted images along with the accuracy of the image processing algorithms and their performance. Recent innovations in machine learning has opened new prospects in image processing which is not only helpful in increasing the accuracy and performance of image processing but have been used to reduce the complexities in implementation of complexity of the algorithms quickly. In this work a survey of these techniques is being proposed to measure and list some of the latest techniques and algorithms using machine learning techniques in image processing.


  • pages (320-326)

    Reads (135)

    Topic Name: SURVEY OF DATA MINING ALGORITHMS FOR VM MIGRATION”,

    Author (s) : Palash Soni, Nagendra Kumar

    Keywords : Cloud Computing, Fault Tolerance, Virtual Machines Migration, Resource Management


    Quick abstract

    Virtual Machine migration has been a challenge in the cloud computing and cloud environment from the very first implementations of the cloud. The users may need to create thousands of the virtual machines and apply unlimited loads on them. This has facilitated the users to great extent by pay per use and optimal resource utilization for what they pay. But along with cloud server managers are facing the same advantages as challenges as the server on which load is increased has to be eased by migrating some or more virtual machines to other servers which are respectively vacant. This not only requires migrating without shutdown challenge but also requires evaluating such virtual machines proactively. For this proactive evaluation many researchers have proposed various algorithms and still require continuous researches for enhancing the performance of such systems. In this paper, such methods are being discussed and the challenges in them are being shown.


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