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All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed.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

01Evaluation of Basic Convolutional Neural Network, AlexNet and Bag of Features for Indoor Object Recognition
Srie Azrina Zulkeflie, Fatin Amira Fammy, Zaidah Ibrahim, and Nurbaity Sabri

Abstract—This paper evaluates two deep learning techniques that are basic Convolutional Neural Network (CNN) and AlexNet along with a classical local [Click]

02Improving Dynamic Hand Gesture Recognition on Multi-views with Multi-modalities
Huong-Giang Doan and Van-Toi Nguyen

Abstract—Hand gesture recognition topic has been researched for many recent decades because it could be used in many fields as sign language, virtual game, human-robot interaction, entertainment and so on.[Click]

03Optimal Convolutional Neural Network Architecture Design Using Clonal Selection Algorithm
Ali Al Bataineh and Devinder Kaur

Abstract—In this paper, the Clonal Selection Algorithm (CSA) is implemented to determine the optimal architecture of a convolutional neural network (CNN) for the classification of handwritten character digits. [Click]

04Investigating GAN and VAE to train DCNN
Soundararajan Ezekiel, Larry Pearlstein, Abdullah Ali Alshehri, Adam Lutz, Jackson Zaunegger, and Waleed Farag

Abstract—The Convolutional Neural Network (CNN) is a class of deep artificial neural network and has recently gained special attention after demonstrating breakthrough accuracies in various classification tasks. [Click]

05The Development of Ground Penetrating Radar (GPR) Data Processing
Baso Maruddani and Efri Sandi

Abstract—Ground Penetrating Radar (GPR) is one of radar types that is often used to determine conditions inside or below some surface. GPR is also commonly used as a material evaluation tool by its trait as a non-destructive testing (NDT). [Click]

06A Machine Learning Approach: Using Predictive Analytics to Identify and Analyze High Risks Patients with Heart Disease
Fadoua Khennou, Charif Fahim, Habiba Chaoui, and Nour El Houda Chaoui

Abstract—The risk of developing early heart disease is always prominent. In fact, according to the Central of Disease Control and Prevention (CDC), Cardiovascular disease accounts for nearly 801,000 deaths in the US. [Click]

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]

02Using Deep Learning for Melanoma Detection in Dermoscopy Images
Julie Ann A. Salido and Conrado Ruiz Jr.

Abstract—Melanoma is a common kind of cancer that affects a significant number of the population. Recently, deep learning techniques have achieved high accuracy rates in classifying images in various fields. This paper uses deep learning to [Click]

03Advantages 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]

04An 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]

05Image 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]

06Process 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]

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