Current Issue

Accepted Papers

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All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed.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

Dr. Lin Huang
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]

More Latest Articles

Most cited papers

01Switching Probabilistic Slow Feature Analysis for Time Series Data
Kazuki Tsujimoto and Toshiaki Omori

Abstract—Slow feature analysis (SFA) is a machine learning method for extracting slowly time-varying feature from [Click]

02Homogeneous Ensemble Instance Intervals Determination Method of Time Series Data Based on Granular Computing
Jaewoong Kang, Wooseong Yang, and Mye Sohn

Abstract—It is very important to determine the size of the instance since it has a large impact on the recogni [Click]

03PM2.5 Concentration Forecasting Based on Data Preprocessing Strategy and LSTM Neural Network
Tao Liang, Gaofeng Xie, Dabin Mi, Wen Jiang, and Guilin Xu

Abstract—In order to better grasp the change rule of PM2 5 concentration, this paper presents a prediction model [Click]

04Cirrhosis Liver Classification on B-Mode Ultrasound Images by Convolution Neural Networks with Augmented Images
Yoshihiro Mitani, Robert B. Fisher, Yusuke Fujita, Yoshihiko Hamamoto, and Isao Sakaida

Abstract—In the medical imaging field, it is desirable to develop computer-aided diagnosis (CAD) systems They are [Click]

05The Integration of a Big Data Framework and a Mobile Application on the iOS Platform to Support Smart Tourism
Pannee Suanpang and Pitchaya Jamjuntr

Abstract—The aim of this paper is to design a prototype that integrates a big data framework with a mobile app [Click]

06An Adversarial Self-Learning Method for Cross-City Adaptation in Semantic Segmentation
Huachen Yu and Jianming Yang

Abstract—Semantic segmentation is an important task in thevisual system of self-driving cars The semantic segmenta [Click]

More Articles

Conferences

Read more

What's New

  • 25

    Mar

    Vol.10, No.2 has been published with online version. [Click]

  • 23

    Jul

    Vol.10, No.6 has been published with online version.[Click]

  • 09

    Jul

    Vol.10, No.5 has been published with online version.[Click]
Read more

E-Mail Table of Contents Alert

To receive the table of contents of newly released issues of this journal, add your e-mail address in the box below, and click on subscribe.

Interested in being a peer-reviewer?

Please fill in the application form and send it back to the editor, then your application will be processed soon..

Frequently Asked Questions?

Q1. How to submit my research paper? What’s the process of publication of my paper?

Copyright © 2008-2020. International Journal of Machine Learning and Computing. All rights reserved.

E-mail: ijmlc@ejournal.net