Titlebook: Emerging Technology in Modelling and Graphics; Proceedings of IEM G Jyotsna Kumar Mandal,Debika Bhattacharya Conference proceedings 2020 Sp

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https://doi.org/10.1007/978-1-4615-1231-8 being as it can cause annoyance, hypertension, heart disease, and sleep disturbances. Despite all measures to control noise pollution that have been taken in Mumbai so far, those are prone to vulnerabilities. The differences in these vulnerability-inducing causes arise a need for an effective analy

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In this study, the authors will look at the segmentation of the blood vessels from fundus images which will further help in preparation of digital template. Here, images are passed through the preprocessing stages and then some of the morphological operators for thresholding are applied on the image

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B. B. Westerdahl,Oluwasesan M. Belloachine learning algorithms. This problem is a multiclass problem with overlaying attributes and thus making it demanding. The most crucial part of developing a highly efficient classifier was to identify the attributes that are necessary to distinguish seizure from other brain activities. We trained

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Yogendra Sharma,Doraivajan Balasubramanian. In machine learning, high-dimensional data sets have a enormous number of redundant and irrelevant features. The sum of mean and standard deviation of exponential matrix has been set as the threshold for selecting relevant features. Principles of vertex cover and independent set have then been use