Current Issue: Volume 9, Number 5

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All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed.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

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

01Implementation of Data Mining Analysis to Determine the Tuna Fishing Zone Using DBSCAN Algorithm
Muhammad Ramadhani and Devi Fitrianah

Abstract—The aim of this study is to map the tuna fishing zones based on the daily fish catch data from the Hindian Ocean. With the study, it is expected to deliver a potential tuna fishing zones mapping, where it is based on [Click]

02Malaysian Food Composition Ontology Evaluation
Norlia M. Yusof and Shahrul Azman M. Noah

Abstract—The Malaysian food composition ontology (MyFCO) models a dietitian’s knowledge in designing dietary menu planning. Ontology Development 101 is the method of ontology modeling. The objective of this paper was to share the experience [Click]

03Application 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 from 2003-2017. [Click]

04Application of ANN for Water Quality Index
Rajiv Gupta, A N Singh, and Anupam Singhal

Abstract—Attempt has been made to create a Water Quality Index (WQI) based on artificial neural network (ANN) and globally accepted parameters. Several methods to measure WQI are available in the research and ambiguity problems exist where [Click]

05Evaluation of Credibility for Reviewers and Review Scores Based on Link Analysis
Yasuyuki Shirai

Abstract—In recent years, there are widely used online stores on the Internet which have customer review facilities. Although these reviews help users decide their actions, there are incredible, fake or irresponsible reviews in general. [Click]

06Monotonic Estimation for the Survival Probability over a Risk-Rated Portfolio by Discrete-Time Hazard Rate Models
Bill Huajian Yang

Abstract—Monotonic estimation for the survival probability of a loan in a risk-rated portfolio is based on the observation arising, for example, from loan pricing that a loan with a lower credit risk rating is more likely to survive than a loan [Click]

More Latest Articles

Most cited papers

01FEDSecurity: Implementation of Computer Vision Thru Face and Eye Detection
Roxanne A. Ancheta, Felizardo C. Reyes Jr., Jasmin A. Caliwag, and Reynaldo E. Castillo

Abstract—Closed-Circuit Television (CCTV) cameras are placed everywhere in both public and private areas and used in a broad range of applications, especially for security purposes. CCTVs are managed by CCTV operators for twenty-four hours to [Click]

02Advantages of Hybrid Deep Learning Frameworks in Applications with Limited Data
Valeriy Gavrishchaka, Zhenyi Yang, Rebecca Miao, and Olga Senyukova

Abstract—Recent advancements in deep learning (DL) frameworks based on deep neural networks (DNN) drastically improved accuracy in image recognition, natural language processing and other applications. The key advantage of DL is systematic [Click]

03Comparative Study of Machine Learning and Deep Learning Architecture for Human Activity Recognition Using Accelerometer Data
Sarbagya Ratna Shakya, Chaoyang Zhang, and Zhaoxian Zhou

Abstract—Human activity recognition (HAR) has been a popular fields of research in recent times. Many approaches have been implemented in literature with the aim of recognizing and analyzing human activity. Classical machine learning approaches [Click]

04Process Automation in Intelligent Transportation System (ITS)
Koorosh Gharehbaghi and Kenneth Farnes

Abstract—Collectively, process simulation is an intricate element within an intelligent transport system (ITS); arrange of modeling techniques and subsequent transition operations also form components of such a system Although the ITS [Click]

05An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL)
Mojtaba Heidarysafa, Kamran Kowsari, Donald E. Brown, Kiana Jafari Meimandi, and Laura E. Barnes

Abstract—The exponential growth in the number of complex datasets every year requires more enhancement in machine learning methods to provide robust and accurate data classification. Lately, deep learning approaches have achieved surpassing [Click]

06Image Processing Based Ambient Context-Aware People Detection and Counting
Zeyad Al-Zaydi, Branislav Vuksanovic, and Imad Habeeb

Abstract—Different technologies are employed to detect and count people in various situations but crowd counting system based on computer vision is one of the best choices due to a number of advantages. These include accuracy, flexibility [Click]

More Articles

Conferences

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What's New

  • 20

    Sep

    Good News! All papers from Volume 9, Number 4 have been indexed by Scopus![Click]

  • 29

    Jul

    IJMLC Had Implemented Online Submission System, Please Submit New Submissions through This System Only! [Click]

  • 08

    Jul

    Vol.9, No.4 has been published with online version.[Click]
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