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)

Language: English

Review Method: Double Blind

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)

Scopus preview: https://www.scopus.com/sourceid/21100899864

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

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. 20 No. 2 (2026): ECTI Transactions on CIT (April 2026)

Published: 2026-03-28

Intelligent Honeypot for Web Applications: Leveraging Seq2Seq and Reinforcement Learning

Ananya Varadarajan, Ashwin Chandrasekaran, Rachana Binumohan, Rahul Huliyar Ravishankar, Gokul Kannan Sadasivam

207 - 218

YUV-based Deep Learning Super-Resolution for Bitrate Reduction and ROI Preservation in Modern Video Codecs

Lertluck Leela-amornsin, Nuttapon Vanakittistien, Nattee Niparnan, Pitchaya Sitthi-amorn, Attawith Sudsang

219 - 232

Hybrid WangchanBERTa Architectures for Multi-Class Thai Sentiment Analysis

Panida Songram, Suchart Khummanee, Khanabhorn Kawattikul, Nittaya Muangnak

233 - 246

Comparison of CNN Architectures for Thai Medicinal Plant Classification

Sompong Valuvanathorn, Chanchai Supaartagorn

247 - 257

Enhancing LTE Handover Decision using Optimised Extreme Gradient Boosting and Rule-Based Decision-Support

Noormadinah Allias, Megat Norulazmi Megat Mohamed Noor, Mohd Nazri Ismail, Mohd Taha Ismail

258 - 268

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