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507 results for “ML Based Algorithms”
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Research ArticleOpen accessEvery word in the titleImproving the Performance of Multivariate Bernoulli Model based Documents Clustering Algorithms using Transformation TechniquesPerumal Pitchandi, Nedunchezhian RajuProblem statement: Document clustering is the most important areas of data mining since they are very much and currently the subject of significant global research since such areas strengthen the enterprises of web intelligence, web mining, web search engine design and so forth. Generative models based on the multivariate Bernoulli and multinomial distributions have been widely used for text classification. … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,281 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIoT-Based Smart Hydroponic System for Nutrient Management Using Predictive Machine Learning AlgorithmsPalash Gourshettiwar, K. T. V. ReddyHydroponics, an efficient cultivation method, benefits significantly from the precision and adaptability that Machine Learning (ML) algorithms can offer, along with the real-time monitoring facilitated by the devices using the Internet of Things (IoT). This study summarises the latest research and discusses how Machine Learning and the IoT work together, focusing on nutrient optimization, plant development, and resource efficiency. The … …Journal of Computer Science, Vol. 22, Issue 3 · 11 Mar 2026 · 3,046 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance Assessment of CPU Scheduling Algorithms: A Scenario-Based Approach with FCFS, RR, and SJFOlaa Hajjar, Escelle Mekhallalati, Nada Annwty et al.This study presents an extensive examination of CPU scheduling algorithms, focusing on the First-Come, First-Served (FCFS), Round-Robin (RR), and Shortest-Job-First (SJF) strategies through a carefully designed scenario-based approach. By deploying a Java-based simulation to dynamically generate random process arrival and burst times, this study simulates a variety of operational conditions to test these scheduling algorithms’ adaptability and performance in environments … …Journal of Computer Science, Vol. 20, Issue 9 · 16 Jun 2024 · 9,091 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 titleSecurity based Approach of SHA 384 and SHA 512 Algorithms in Cloud EnvironmentThambusamy Velmurugan, Sivakumar KarthigaCloud computing is going to be the next big thing in the era of internet world. As the world moves ahead towards enhancement of the cloud features we also have to take a serious consideration of the enhancing cloud securities to protect the end-user’s data. The major usage of this cloud feature are widely applied in the cloud based IT … …Journal of Computer Science, Vol. 16, Issue 10 · 28 Oct 2020 · 6,841 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 titleA SURVEY: PARTICLE SWARM OPTIMIZATION BASED ALGORITHMS TO SOLVE PREMATURE CONVERGENCE PROBLEMBahareh Nakisa, Mohd Zakree Ahmad Nazri, Mohammad Naim Rastgoo, Salwani AbdullahParticle Swarm Optimization (PSO) is a biologically inspired computational search and optimization method based on the social behaviors of birds flocking or fish schooling. Although PSO is represented in solving many well-known numerical test problems, but it suffers from the premature convergence. A number of basic variations have been developed due to solve the premature convergence problem and improve quality … …Journal of Computer Science, Vol. 10, Issue 9 · 24 Apr 2014 · 8,783 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNEW TRACK-TO-TRACK CORRELATION ALGORITHMS BASED ON BITHRESHOLD IN A DISTRIBUTED MULTISENSOR INFORMATION FUSION SYSTEMLiu Yu, Wang Haipeng, He You et al.Track-to-Track correlation (or association) is an ongoing area of interest in the field of distributed multisensory information fusion. In order to perform accurately identifying tracks with common origin and get fast convergence, this study presents independent and dependent Bi-threshold Track Correlation Algorithms (called BTCAs), which are described in detail and the track correlation mass and multivalency processing methods are discussed … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,643 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA SURVEY: PARTICLE SWARM OPTIMIZATION-BASED ALGORITHMS FOR GRID COMPUTING SCHEDULING SYSTEMSFaruku Umar Ambursa, Rohaya LatipBio-inspired heuristics have been promising in solving complex scheduling optimization problems. Several researches have been conducted to tackle the problems of task scheduling for the heterogeneous and dynamic grid systems using different bio-inspired mechanisms such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO). PSO has been proven to have a relatively more promissing performance in dealing … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,656 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleContent Based Medical Image Retrieval with Texture Content Using Gray Level Co-occurrence Matrix and K-Means Clustering AlgorithmsB. Ramamurthy, K. R. ChandranProblem statement: Recently, there has been a huge progress in collection of varied image databases in the form of digital. Most of the users found it difficult to search and retrieve required images in large collections. In order to provide an effective and efficient search engine tool, the system has been implemented. In image retrieval system, there is no methodologies … …Journal of Computer Science, Vol. 8, Issue 7 · 24 May 2012 · 7,448 accessesView PDFCite