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All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed.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

01Hand Gesture Detection Using Neural Networks Algorithms
N. Alnaim and M. Abbod

Abstract—Human gesture is a form of body language usually used as a mean of communication and is very critical in human-robot interactions Vision-based gesture recognition methods to [Click]

02A 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), [Click]

03Autonomous UAV Navigation Using Reinforcement Learning
Mudassar Liaq and Yungcheol Byun

Abstract—Over the last few years, UAV applications have grown immensely from delivery services to military use. Major goal of UAV applications is to be able to operate and implement various tasks without any human aid.[Click]

04Memory Augmented Matching Networks for Few-Shot Learnings
Kien Tran, Hiroshi Sato, and Masao Kubo

Abstract—Despite many successful efforts have been made in one-shot/few-shot learning tasks recently, learning from few data remains one of the toughest areas in machine learning. [Click]

05Performance of Deep Neural Network for Tabular Data — A Case Study of Loss Cost Prediction in Fire Insurance
Dian Maharani, Hendri Murfi, and Yudi Satria

Abstract—The factors that influence fire insurance continue to grow and head to the problem of big data. It is necessary to develop a model to predict the loss cost due to fires by examining the state-of-art models which are adaptable to the big data.[Click]

06Illumination Correction in a Comparative Analysis of Feature selection for Rear-View Vehicle Detection
S. Baghdadi and N. Aboutabit

Abstract—One of the most frequent infractions on the road is the act of a vehicle crossing to the wrong side of the road to pass another vehicle traveling in the same direction. Automatic detection of this violation can be a challenging issue.[Click]

Most cited papers

01Robustness 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

Abstract—Recently, a number of methods for dynamic hand gesture recognition has been proposed. However, deployment of such methods in a practical application still has to face with many challenges due to the variation of [Click]

02Facial Emotion Recognition from Videos Using Deep Convolutional Neural Networks
Wisal Hashim Abdulsalam, Rafah Shihab Alhamdani, and Mohammed Najm Abdullah

Abstract—Its well known that understanding human facial expressions is a key component in understanding emotions and finds broad applications in the field of human-computer interaction (HCI), has been a long-standing issue. [Click]

03A Comparative Analysis of Nonlinear Machine Learning Algorithms for Breast Cancer Detection
Ali Al Bataineh

Abstract—Breast cancer is a form of invasive cancer and one of the most common health problems for women that is globally responsible for a large number of deaths Accurately classifying and categorizing breast cancer subtype is an essential task [Click]

04Speaker Verification Using Deep Neural Networks: A Review
Amna Irum and Ahmad Salman

Abstract—Speaker verification involves examining the speech signal to authenticate the claim of a speaker as true or false. Deep neural networks are one of the successful implementation of complex non-linear models to learn unique and invariant [Click]

05Application of Artificial Intelligent in the Prediction of Consumer Behavior from Facebook Posts Analysis
Pornpimon Kachamas, Suphamongkol Akkaradamrongrat, Sukree Sinthupinyo, and Achara Chandrachai

Abstract—The undeniable fact is that online business today has increased at a very fast pace everywhere around the globe. This happens through the widely used of Social Media, especially Facebook which is the most popular platform in the world. [Click]

06A Study on the Most Prominent Areas of Research in Microservices
Mohammad Sadegh Hamzehloui, Shamsul Sahibuddin, and Ardavan Ashabi

Abstract—Microservices have recently gained a lot of attention in the software industry Their modularity and smaller size offer flexibility advantageous to both development and operational teams However, the bigger picture is still lacking [Click]

What's New

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