About IJMLC

International Journal of Machine Learning and Computing (IJMLC) is an international academic open access journal which gains a foothold in Singapore, Asia and opens to the world. It aims to promote the integration of machine learning and computing. The focus is to publish papers on state-of-the-art machine learning and computing. Submitted papers will be reviewed by technical committees of the Journal and Association. The audience includes researchers, managers and operators for machine learning and computing as well as designers and developers.

All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed. Articles submitted to the journal should meet these criteria and must not be under consideration for publication elsewhere. Manuscripts should follow the style of the journal and are subject to both review and editing.

Important Notice: IJMLC will only accept new submissions through online submission system


General Information

  • ISSN: 2010-3700 (Online)
  • Abbreviated Title: Int. J. Mach. Learn. Comput.
  • Frequency: Bimonthly
  • DOI: 10.18178/IJMLC
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
  • E-mail: ijmlc@ejournal.net

Editor-in-Chief

Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.

Latest Articles

01MellisAI - An AI Generated Music Composer Using RNN-LSTMs
N. Hari Kumar, P. S Ashwin, and Haritha Ananthakrishnan

Abstract—The art of composing music can be automated with deep learning along with the knowledge of a few implicit heuristics. In this proposed paper, we aim at building a model that composes Carnatic oriented contemporary tune,[Click]

02Efficient Machine Learning Methods for Hard Disk Drive Yield Prediction Improvement
Anusara Hirunyawanakul, Nittaya Kerdprasop, and Kittisak Kerdprasop

Abstract—Deployment of machine learning techniques are prevailing in world-wide problem solving. Hard disk drive manufacturing is another prominent field seeking for the application of these knowledge intensive techniques.[Click]

03Monte-Carlo Based Reinforcement Learning (MCRL)
Muath Alrammal and Munir Naveed

Abstract—This paper presents a Monte-Carlo based Reinforcement Learning approach called MCRL. MCRL is applied in different domains to construct context-aware model for mobile computing. For mobile devices, we present MCRL, [Click]

04The CAN FD Vehicle Network System with Machine Learning and Scheduling Algorithms
Yung-Hoh Sheu, Cheng-Yo Huang, Chen-Yu Yang, and Yi-Hong Lin

Abstract—The controller area network with flexible datarate (CAN FD) inherits the primary features of a controller area network (CAN); thus, exploring the possibility of establishing a hybrid CAN and CAN FD network is essential. [Click]

05Stock Performance Classification in Stock Exchange of Thailand (SET) by Using Supervised Machine Learning Model
Chayanant Kosol and Punnamee Sachakamol

Abstract—Most investors decide to invest in a stock market in order to win from an inflation. And, Financial Statement is the top tool that Thai investors have been using a financial statement to support their buying/selling decision in the stock market[Click]

Most cited papers

01Applying Data Mining Techniques in Predicting Index and non-Index Crimes
Allemar Jhone P. Delima

Abstract—An increasing incidence of crime has led to the development and use of computer-aided diagnosis system, tools and methods in analyzing, classifying and predicting crimes. This paper clusters municipalities in Surigao del Norte using [Click]

02A Comparative Analysis of Nonlinear Machine Learning Algorithms for Breast Cancer Detection
Ali Al Bataineh

Abstract—Breast cancer is a form of invasive cancer and one of the most common health problems for women that is globally responsible for a large number of deaths Accurately classifying and categorizing breast cancer subtype is an essential task [Click]

03Predicting Scholarship Grants Using Data Mining Techniques
Allemar Jhone P. Delima

Abstract—Almost all major colleges and state universities assess students’ comprehensive quality and set different rewards and regulations for the various level in order to stimulate students’ interest to study and participate in [Click]

04Application of Time Series Analysis in Projecting Philippines’ Electric Consumption
Allemar Jhone P. Delima

Abstract—This paper employed the famous ARIMA(p,d,q) model in forecasting Philippines’ electric consumption for the years 2018 to 2022 using the univariate historical data of the country’s power statistics in megawatt-hour [Click]

05Rank-Based Variable Minimization Using Clustering Algorithm
Allemar Jhone P. Delima and Virnille C. Francisco

Abstract—This paper introduces variable minimization with the advent of data mining techniques, particularly the cluster analysis using the K-means algorithm. The results of the simulation process validated the actual ranking of the variables[Click]

06A Review of Image Denoising and Segmentation Methods Based on Medical Images
Sreedhar Kollem, Katta Rama Linga Reddy, and Duggirala Srinivasa Rao

Abstract—Image denoising and segmentation are required to use in digital image processing. For researchers’ point of view, still, these two methods are challenging task in medical images. [Click]

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