ECTI Transactions on Computer and Information Technology (ECTI-CIT) is published by the Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI) Association which is a professional society that aims to promote the communication between electrical engineers, computer scientists, and IT professionals.  Contributed papers must be original that advance the state-of-the-art applications of Computer and Information Technology. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. The submitted manuscript must have not been copyrighted, published, submitted, or accepted for publication elsewhere. This journal employs a double-blind review, which means that throughout the review process, the identities of both the reviewer and the author are concealed from each other. The manuscript text should not contain any commercial references, such as company names, university names, trademarks, commercial acronyms, or part numbers. The manuscript length must be at least 8 pages and no longer than 10 pages with two (2) columns.

Journal Abbreviation:  ECTI-CIT

Since: 2005

ISSN: 2286-9131 (Online)

DOI prefix for the ECTI Transactions is: 10.37936/   (https://doi.org/)

Language: English

Issues Per Year: 2 Issues (from 2005-2020), 3 Issues (in 2021), and 4 Issues (from 2022).

Publication Fee:  Free of charge.

Published Articles: Review Article / Research Article / Invited Article (only for an invitation provided by editors)

Review Method: Double Blind

 

Call for Submissions:

2018-04-30

The ECTI Transactions on Electrical Engineering, Electronics, Computer, Telecommunication, and Information Technology (ECTI-CIT Trans) indexed by Scopus, ACI, and TCI, announces a forthcoming issue that will be published in August 2021.

Vol. 19 No. 2 (2025): ECTI Transactions on CIT (April 2025)

Published: 2025-03-10

Enhancement of Machine Learning Algorithm in Fine-grained Sentiment Analysis Using the Ensemble

M. Khairul Anam, Tri Putri Lestari, Helda Yenni, Torkis Nasution, Muhammad Bambang Firdaus

159 - 167

Enhanced Hand Vein Segmentation Using Generative Adversarial Network Integrated with Modied ECA Module

Marlina Yakno, Mohd Zamri Ibrahim, Muhammad Salihin Saealal, Norasyikin Fadilah, Wan Nur Azhani W. Samsudin

182 - 194

Multi-Task Learning with Fusion: Framework for Handling Similar and Dissimilar Tasks

Pritam Pal, Shankha Shubhra Das, Dipankar Das, Anup Kumar Kolya

207 - 219

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