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

predict

Identification of Noise Pollution Prone Regions in Mumbai Using Expectation-Maximization Clustering 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

NAIVE

An Automated Segmentation Approach from Colored Retinal Images for Feature Extraction,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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Graph-Based Supervised Feature Selection Using Correlation Exponential,. 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

evanescent

A Sentiment-Based Hotel Review Summarization,m huge amount of reviews. In today’s world, we purchase products, book movie tickets, book train tickets, book hotel rooms, and buy products from different websites. Users also share their views about product, hotel, news, and other topics on Web in the form of reviews, blogs, etc. We can found some

Odyssey

Heuristic Approach for Finding Threshold Value in Image Segmentation,sition of the inhomogeneity in the tissues, blood flow and similar contrast to the wall. Thus, an automated approach is required to develop proper segmentation of the region of interest (ROI). This paper describes a . based on genetic algorithm optimization. OTSU algorithm is used for optimization.

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An Educational Chatbot for Answering Queries,ethods. In this paper, we show how we can convert documents into the knowledge of a chatter robot. It helps users to make profit out of it by asking and answering queries, using electronic documents which are integrated with the simulated system. Hence, we are motivated to develop an educational cha

HIKE

A Supervised Approach to Analyse and Simplify Micro-texts,ly, micro-text refers to the limited textual content in the form of letters and words, collected from various web-based resources. In the present paper, we are motivated to build a supervised model for analysing micro-text. The model assists in simplifying the texts and extracting the important know

ARK

A Short Review on Different Clustering Techniques and Their Applications,ing such data into rational groups is a critical first step to draw inferences. Data clustering analysis has emerged as an effective technique to accurately accomplish the task of categorizing data into sensible groups. Clustering has a rich association with researches in various scientific domains.

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