Recent Trends in Programming languages
Volume 6, Issue 2 (2019)
Published
Table of contents
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A Robust Automatic Algorithm for Extraction of Blood Vasculatures from Retinal Images
Abstract: AbstractIn this proposed algorithm, an efficient method for extraction and segmentation of blood vasculatures from the retinal eye images is proposed. For finding the features and abnormalities like Fovea, macula, Red lesions and exudates, blood vasculature extraction is one of the most important steps. The proposed algorithm uses tactical combination of Green, L and Y channel of Retinal image, which gives a more accurate and efficient result than the single …
Published in Recent Trends in Programming languages · Vol. 6, Issue 2, 2019 · pp. 1–7 Read article
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Machine Learning Cluster Analysis for Large Categorical Data Using R Programming
Abstract: AbstractThis review paper clearly discusses the compression between various types of cluster analysis of large categorical data sets. Although there is large gap between the choice of cluster analysis for large data in research design. Its primary purpose is to explain the simplest way of clustering analysis whose data structure were wide scattered using R software whose outputs were sufficiently explain with various intermediate output and graphical interpretation to reach …
Published in Recent Trends in Programming languages · Vol. 6, Issue 2, 2019 · pp. 23–34 Read article
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Review Paper on Billing Methods for Payment
Abstract: AbstractBilling method payment is an online application. An organization has various branches in various areas, need to control and keep up the salary and study individual student’s personal detail and also the payment detail. Programming gives the office to revealing, new student details, payment details, and incorporates any changes in the detail of students and accountant salary. The framework is concentrated to the minutest detail and analysis. The framework investigator …
Published in Recent Trends in Programming languages · Vol. 6, Issue 2, 2019 · pp. 35–41 Read article
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Regression Analysis of Research Data using R Programming
Abstract: ABSTRACTThe goal of the review paper is discussing the relationship between various types of regression analysis whose output was sufficiently analyzed using R programming. The primary purpose of this paper is to explain the relationship of linear, multiple, quantile and polynomial regression models to achieve final conclusion with different data sets. Therefore, this paper presents the easiest way of regression analysis commands and R programming strengths for of data analysis. …
Published in Recent Trends in Programming languages · Vol. 6, Issue 2, 2019 · pp. 42–50 Read article
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Imputing Missing Data Analysis in Web Service Quality Dataset for Improving QoS Prediction
Abstract: AbstractThe web services at present have countless options for similar tasks. This wide range in web services induce challenge to choose the best service among all available. QoS prediction is a key of the selection but it is very time-consuming affair. Any prediction strategy relies on accuracy and completeness of available data, especially in case of QOS Prediction. Feedback, throughput and response time are the major attribute that should not …
Published in Recent Trends in Programming languages · Vol. 6, Issue 2, 2019 · pp. 8–22 Read article