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. 3 (2026): ECTI Transactions on CIT (Jul 2026)

Published: 2026-07-11

D-CAD: Decentralized Continual Anomaly Detection through Collaborative Knowledge Fusion in Wireless Sensor Networks

Gajalakshmi P, Vijayakumar Kadumbadi, M. Ezhilvendan, M. Sadhasivam, Sevanthi P, K Vani Shree

411 - 424

Improving Hard Negative Handling for Individual Dog Re-identication with Facial Biometrics

Punyanuch Borwarnginn, Worapan Kusakunniran, Qiang Wu, Thanongchai Siriapisith

425 -436

A Comparative Study of Machine Learning and Deep Learning Approaches for Handwritten Sanskrit Recognition

Shraddha V. Shelke, Dinesh M. Chandwadkar, Sunita P. Ugale, Rupali V. Chothe

449 - 461

Automated Dehydration Assessment in Cannabis via YOLOv8 Localization and Multi-Modal Feature Classification

Nittaya Muangnak, Wattana Pongnangchai, Natakorn Thasnas, Panida Songram, Nattapon Chapradit

462 - 474

Benchmarking Faster R-CNN Backbones for Explainable Lemon Leaf Disease Detection

Tanawat Palamee, Buntueng Yana, Thanakarn Suangun

475 - 485

Reinforcement Learning for Photometric Tuning Improves Ovarian Lesion Segmentation

Quoc-Vi Tran, Duy-Hai Vu, Huynh Phi Dinh, Nguyen Viet Hung

528 - 538

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