International Journal of Recent Contributions from Engineering, Science & IT (iJES)

The objective of the journal is to publish and discuss fundamentals, applications and experiences in the field of Science, Engineering and Information Technology. We will give authors the possibility to immediately publish their working results and to make it public for a broad audience.
iJES is an Open Access Journal. Readers don't have to pay any fee.

Cover iJES Vol 9, No 3, 2021

Announcements

 

Attention! Fraudulent Emails Circulating

  

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

Please note that iJES does NOT accept submissions via email.

These are fake emails. In order to submit a paper to iJES, 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 9, No 3 (2021)

Table of Contents

Papers

An Investigation on Achieving Sustainability in Fused Deposition Modeling via Topology Optimization
Andre Espach, Kapil Gupta
PDF
pp. 4-19
A Physics and Engineering Lab for Primary Teachers at CERN
Tina P. Nantsou, Efstratios C. Kapotis, George S. Tombras
PDF
pp. 20-34
Virtual and Augmented Reality for Developing Emotional Intelligence Skills
Chara Papoutsi, Athanasios Drigas, Charalabos Skianis
PDF
pp. 35-53
Digitalization of the Parking Lot at the Public University “Kadri Zeka” in Gjilan
Ragmi Mustafa, Basri Ahmedi, Kujtim Mustafa
PDF
pp. 54-75
Virtual Laboratory and Mobile Devices as a Support Tool for the Teaching-Learning Processes of Physics in Pandemic Times
Gustavo Alberto Chiodi, Aaron Jose Soutadet, Maria Alejandra Bosio
PDF
pp. 76-88

Short Papers

Charismatic Leadership and Special Education Teachers’ Empowerment
Paraskevi Loukeri, Agathi Stathopoulou, Yolanda Salapata, Athanasios Drigas
PDF
pp. 89-95
Image Deblurring using Wiener Filtering and Siamese Neural Network
Vaibhav Setia, Shreya Kumar
PDF
pp. 96-104