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All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed.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

01An 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]

02An Algorithm for Intelligent Identification of Moving Objects in Natural Environment
Bhupendra Kumar Yadav and Jian Xiaogang

Abstract—The intelligent moving object detection hasbecome one of the key research areas in the computer vision Al [Click]

03Improved Language-Independent Speaker Identification in a Non-contemporaneous Setup
Smarajit Bose, Amita Pal, Anish Mukherjee, and Debasmita Das

Abstract—One of the most effective approaches available inthe literature for Automatic Speaker Identification is ba [Click]

04Gender Classification of Thai Facebook Usernames
Supitcha Yuenyong and Sukree Sinthupinyo

Abstract—This paper presents an application of machinelearning to classify Facebook users’ gender based on theirus [Click]

05A Joint Embedding Method of Relations and Attributes for Entity Alignment
Haihong E, Rui Cheng, Meina Song, Peican Zhu, and Zhen Wang

Abstract—Entity alignment is to link the entities that point tosame objects in the real world among different kn [Click]

06Applying 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]

More Articles

Conferences

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What's New

  • 25

    Mar

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

  • 09

    Jul

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

  • 19

    May

    Vol.10, No.4 has been published with online version.[Click]
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