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Vol. 1 No. 2 (2026): Second Issue
JEIDS - Vol. 1 No. 2 (2026) issue cover

Published on 10 October 2026 as the second issue of the Journal of Engineering Informatics and Data Systems (JEIDS). Three double-blind peer-reviewed articles give the issue a distinctive measurement-and-evaluation character. The first presents a low-cost, high-capacity digital weight measurement system built on Arduino and load cells, evaluated for precision, affordability and sustainability in Industry 5.0 and agricultural settings. The second compares deep neural network architectures for image segmentation, examining optimisation strategies and performance trade-offs across U-Net and autoencoder designs. The third estimates age from facial feature analysis using machine learning, combining Viola-Jones detection, wrinkle-area classification and support vector methods. The issue's speciality is that every paper is assessed against a real deployment constraint — cost, compute or robustness — so the second issue reads as a set of engineering evaluations rather than architectural proposals alone.

Published: 10-10-2026
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JEIDS · Open-access · Peer-reviewed · Published monthly

Engineering data systems, digital infrastructure, and informatics for the intelligence age.

JEIDS publishes scholarship at the intersection of engineering science, information systems, and computational analytics, with rigorous double-blind peer review and a methods-and-systems editorial process designed to give authors candid, timely decisions.

Submit Manuscript Author Guidelines

Journal at a Glance

29th
Submission deadline (every month)
4-5 days
First editorial decision
7 days
Peer review
5 days
Submission to acceptance
15 days
Acceptance to publication
34%
Acceptance rate

Typical editorial timelines; actual times vary with submission volume and reviewer availability.

Scope

Engineering data pipelines

Acquisition, conditioning, and governance of high-volume engineering data across instrumented assets and operations.

Digital twins & cyber-physical systems

Model-based representations, sensor fusion, and feedback loops that close the gap between physical assets and decision software.

Intelligent operations

Data-driven decision systems, predictive maintenance, and the operational integration of analytics into engineered workflows.

Informatics methods

Methodological work on data architectures, schemas, and engineering-grade machine learning practice.

Why publish with JEIDS?

  • Double-blind peer review with transparent editorial checks and reasoned decisions.
  • Open access from day one under CC BY 4.0, no paywalls, no embargo.
  • Methods-and-systems triage: fast, candid early decisions on fit and method.
  • Indexing-ready workflow: DOI, ORCID, and OAI-PMH from issue one.

ISSN (Online): pending · CC BY 4.0 · OAI-PMH enabled · Editorial contact: [email protected]