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All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed.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: Scopus (since 2017), EI (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

01FICOBU: Filipino WordNet Construction Using Decision Tree and Language Modeling
Ria Ambrocio Sagum, Aldrin D. Ramos, and Monique T. Llanes

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02Energy Efficiency in Cloud Computing
Mohamed Deiab, Deena El-Menshawy, Salma El-Abd, Ahmad Mostafa, and M. Samir Abou El-Seoud

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03Application of Artificial Intelligent in the Prediction of Consumer Behavior from Facebook Posts Analysis
Pornpimon Kachamas, Suphamongkol Akkaradamrongrat, Sukree Sinthupinyo, and Achara Chandrachai

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04Prediction of 6 Months Smoking Cessation Program among Women in Korea
Khishigsuren Davagdorj, Seon Hwa Yu, So Young Kim, Pham Van Huy, Jong Hyock Park, and Keun Ho Ryu

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05Recursive General Secret Sharing Scheme Based on Authorized Subsets
Utako Itoh and Kouya Tochikubo

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06Application of Kansei Engineering and Data Mining in Developing an Ingenious Product Co-design System
Kittipong Sakornsathien, Sukree Sinthupinyo, and Pongpun Anuntavoranich

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Most cited papers

01Large-Scale Kinetic Parameters Estimation of Metabolic Model of Escherichia Coli
Mohammed Adam Kunna Azrag, Tuty Asmawaty Abdul Kadir, Muhammad Nomani Kabir, and Aqeel S. Jaber

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02Operators of Approximation of Functions f(x, y) by their Projections on the System of Nonparallel Lines for Computed Tomography
Vitaliy Mezhuyev, Oleh M. Lytvyn, Oleh O. Lytvyn, Iuliia I. Pershyna, Olesia P. Nechuiviter, and Yevheniia L. Khurdei

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03Neural Networks to Predict Dropout at the Universities
Mayra Alban and David Mauricio

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04Text-Independent Speaker Identification Using Deep Learning Model of Convolution Neural Network
Supaporn Bunrit, Thuttaphol Inkian, Nittaya Kerdprasop, and Kittisak Kerdprasop

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05Robustness Analysis of 3D Convolutional Neural Network for Human Hand Gesture Recognition
Dang-Manh Truong, Huong-Giang Doan, Thanh-Hai Tran, Hai Vu, and Thi-Lan Le

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06Empirical Formulas to Predict the Axial Capacity of Driven Piles Using in-Situ Dynamic Load Testing Data
Anis Shatnawi, Wassel AL Bodour, Mu’tasim Abdel-Jaber, and Bashar Tarawneh

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Conferences

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