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Research ArticleOpen accessEvery word in the titleA Collaborative Prediction of Presence of Arrhythmia in Human Heart with Electrocardiogram Data using Machine Learning Algorithms with AnalyticsSelvaraj Rajalakshmi, Kuthadi Venu MadhavHuman heart is the major organ of human being which could fail the other systems in the body at the same time. Hence predicting heart disease is one of the challenging researches that requires meticulous analysis of heart rhythms properly. The irregular heart rhythms or beat is referred to as the Arrhythmia where heart rhythms with low or high rates … …Journal of Computer Science, Vol. 15, Issue 2 · 22 Feb 2019 · 7,508 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleApplication of Unimodular Hill Cipher and RSA Methods to Text Encryption Algorithms Using PythonSamsul Arifin, Dwi Wijonarko, Suwarno, Edwin Kristanto SijabatText encryption is one of the techniques used to maintain the confidentiality of information in digital communications. In this study, we propose to apply a combination of the Unimodular Hill Cipher and RSA methods to a text encryption algorithm using the Python programming language. The Unimodular Hill Cipher method uses an unimodular matrix to replace text characters with encrypted characters, … …Journal of Computer Science, Vol. 20, Issue 5 · 1 Mar 2024 · 6,484 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHuffman Based Code Generation Algorithms: Data Compression PerspectivesAhsan Habib, M. Jahirul Islam, M. Shahidur RahmanThis article proposes two dynamic Huffman based code generation algorithms, namely Octanary and Hexanary algorithm, for data compression. Faster encoding and decoding process is very important in data compression area. We propose tribit-based (Octanary) and quadbit-based (Hexanary) algorithm and compare the performance with the existing widely used single bit (Binary) and recently introduced dibit (Quaternary) algorithms. The decoding algorithms for … …Journal of Computer Science, Vol. 14, Issue 12 · 9 Dec 2018 · 7,701 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance Evaluation of Machine Learning-Based Algorithms to Predict the Early Childhood Development Among Under Five Children in BangladeshMd. Ismail Hossain, Iqramul Haq, Ashis Talukder et al.In this research, an effort has been made to apply a number of classifiers to predict Early Child Development (ECD) in the context of Bangladesh using the Bangladesh multiple indicator cluster survey, 2019 data set (i.e., to evaluate which sort of algorithm best identifies ECDI). To predict the ECD, nine well-known machine learning algorithms were applied, including Linear Regression (LR), … …Journal of Computer Science, Vol. 19, Issue 5 · 5 May 2023 · 6,838 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAdvanced Automatic Lexicon with Sentiment Analysis Algorithms for Arabic ReviewsAyman Mohamed MostafaSentiment analysis is a statistical analysis of people’s attitudes, directions and emotions about a specific domain. The advance of telecommunication networks makes it very important to develop different sentiment analysis algorithms for gathering information of user preferences from multiple specialized sources. The next step is to analyze the polarity of information and finally gain and predict knowledge to anticipate future … …American Journal of Applied Sciences, Vol. 14, Issue 8 · 13 Apr 2017 · 7,622 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhanced Preemptive Global Utility Accrual Real Time Scheduling Algorithms in Multicore EnvironmentIdawaty Ahmad, Mohamed Othman, Zuriati Ahmad ZulkarnainThis paper proposed an efficient real time scheduling algorithm using global scheduling paradigm running in multicore environment known as Global Preemptive Utility Accrual Scheduling (GPUAS) algorithm. The existing TUF/UA multiprocessor scheduling algorithms known as Greedy-Global Utility Accrual (G-GUA) and Non Greedy-Global Utility Accrual (NG-GUA) algorithms is seen to overlook the efficiency on its task scheduling algorithm. These algorithms have adapted … …Journal of Computer Science, Vol. 11, Issue 12 · 11 Feb 2016 · 6,390 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImpact of Asymmetric Encryption Algorithms in a VANETEdward David Moreno, Leila C.M. Buarque, Florêncio Natan et al.This paper describes the impact of using asymmetric encryption algorithms, with emphasis on RSA, ECC and Multivariate Quadratic Quasigroup (MQQ) algorithms, in a scenario of Vehicular Ad hoc Network (VANET). In the research we used the simulator NS-3 with specific module for vehicular networks. The algorithms were implemented in C and were included in NS-3. The results, even in a … …Journal of Computer Science, Vol. 11, Issue 12 · 30 Jan 2016 · 6,852 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Comparative Analysis of Task Scheduling Algorithms of Virtual Machines in Cloud EnvironmentSaleh Atiewi, Salman Yussof, Mohd EzaneeCloud computing is an interesting and beneficial area in modern distributed computing. It enables millions of users to use the offered services through their own devices or terminals. Cloud computing offers an environment with low cost, ease of use and low power consumption by utilizing server virtualization in its offered services (e.g., Infrastructure as a Service). The pool of Virtual … …Journal of Computer Science, Vol. 11, Issue 6 · 18 Sep 2015 · 7,642 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Novel Distinguishability Based Weighted Feature Selection Algorithms for Improved Classification of Gene Microarray DatasetJ. Jeyachidra, M. PunithavalliData mining played vital role in comprehending, analyzing, understanding and interpreting microarray technology expression data. That includes search for genes that had similar or correlated patterns of expression. For that, the feature selection was one of the frequently used important techniques for data preprocessing. Many feature selection algorithms had been developed. Yet the persisting problem was in selecting optimal subset … …Journal of Computer Science, Vol. 11, Issue 2 · 2 Feb 2015 · 6,376 accessesView PDFCite