International Journal of Online and Biomedical Engineering (iJOE)

The objective of the journal is to publish and discuss fundamentals, applications and experiences in the field of remote engineering, cyber-physical systems, virtual instrumentation and online simulations. The use of virtual and remote controlled devices and remote laboratories is one of the future trend developments for advanced teleworking/e-working environments.

Online Engineering is the future trend in engineering and science. It covers working directions such as remote engineering, cyber-physical systems, virtual instrumentation, simulation techniques and others.

iJOE is an Open Access Journal. Readers don't have to pay any fee.


Cover iJOE Vol 17, No 02, 2021

Announcements

 

Attention! Fraudulent Emails Circulating

  

Currently, many researchers receive a call for papers for iJOE, asking them to submit a paper via email.

Please note that iJOE does NOT accept submissions via email.

These are fake emails. In order to submit a paper to iJOE, please create an account on the journal homepage, don't forget to enrol yourself as author and submit your paper here.

Also, they send out fake letters of acceptance. If you want to know the status of your paper, please login to your journal account and check its status.

  
Posted: 2020-06-23
 
More Announcements...

Vol 17, No 02 (2021)

Table of Contents

Papers

Adapting Internet of Things to Arduino-based Devices for Low-Cost Remote Sensing in School Science Learning Environments
Seok Hyun Ga, Hyun-Jung Cha, Chan-Jong Kim
PDF
pp. 4-18
Conception and Implementation of an IoT System for Remote Practical Works in Open Access University’s Electronic Laboratories
Amine Moulay Taj, Jesus Chacon Sombria, Ahmed Gaga, Abdelmoula Abouhilal, Abdessamad Malaoui
PDF
pp. 19-36
Review on Real Time Background Extraction: Models, Applications, Environments, Challenges and Evaluation Approaches
Maryam A. Yasir, Yossra Hussain Ali
PDF
pp. 37-68
Insider Threat Detection and Prevention Protocol: ITDP
Amnat Sawatnatee, Somchai Prakancharoen
PDF
pp. 69-89
Comparative Analysis of Supervised Machine Learning Algorithms to Build a Predictive Model for Evaluating Students’ Performance
Inssaf El Guabassi, Zakaria Bousalem, Rim Marah, Aimad Qazdar
PDF
pp. 90-105
Anticipating Atrial Fibrillation Signal Using Efficient Algorithm
Mohand Lokman Ahmad Al-dabag, Haider Th. Salim ALRikabi, Raid Rafi Omar Al-Nima
PDF
pp. 106-120
An Ensemble Deep Neural Network Approach for Oral Cancer Screening
Nanditha B R, Geetha Kiran A, Chandrashekar H S, Dinesh M S, Murali S
PDF
pp. 121-134
A Recommender System for Predicting Students' Admission to a Graduate Program using Machine Learning Algorithms
Inssaf El Guabassi, Zakaria Bousalem, Rim Marah, Aimad Qazdar
PDF
pp. 135-147
A Hybrid Gene Selection Strategy Based on Fisher and Ant Colony Optimization Algorithm for Breast Cancer Classification
Mohammed Hamim, Ismail El Moudden, Mohan D Pant, Hicham Moutachaouik, Mustapha Hain
PDF
pp. 148-163

Short Papers

Prediction of Liver Disease using Regression Tree
Vinutha M.R., Chandrika J.
PDF
pp. 164-172
Automated Detection of Depolarization and Repolarization of Cardiac Signal for Arrhythmia Classification
Usha Kumari Chintalapati, Md. Aqeel Manzar, Tarun Varma N, Reethika A, Priya Samhitha B, Rohitha Sivani J, Kamran Ali Mirza, Pranav Kumar S
PDF
pp. 173-181