ENGINEERING INTELLIGENCE AND INNOVATION
Peer-reviewed · Open Access · Engineering Intelligence

Engineering Intelligence and Innovation

EII is an English-language scholarly journal for rigorous, reproducible, and deployable engineering intelligence, connecting data, models, simulation, optimization, and operational value in real systems.

Data & governance Simulation & optimization Digital twins Engineering foundation models Reliable systems
Open access Published research is readable and downloadable online
Current issue Volume 1, Number 1 · March 2026
Published research 4 research articles in Volume 1
Editorial standard Reproducible evidence, field value, and maintainability
Journal Type Peer-reviewed open-access journal
Publication Language English
Research Positioning Practice-oriented engineering intelligence
Editorial Office editor@eii-journal.org
Journal Home

A scholarly home for practice-ready engineering intelligence

EII focuses on engineering research under real constraints: clear problem context, auditable data governance, justified method choices, reproducible validation, and honest reporting of value and limits in system integration, field operation, and long-term maintenance.

Latest Research

Published articles from Volume 1, Number 1

Collision Risk Analysis of Maritime Autonomous Surface Ships Considering Mental Workload of Shore Control Center Operators Performance Prediction of Vehicle Floor Sound Insulation Systems Based on Sound Intensity-Gated Recurrent Units AI-Driven Optimization of Loader Excavation Trajectory: An Innovative Data-Model Fusion Approach
Editorial Scope

What we publish

We welcome research and practice spanning manufacturing, infrastructure, energy, transportation, and the built environment, with clear attention to engineering deliverables, field impact, reliability, and maintainability.

Reproducible evidence

Clear data provenance, quality control, practical baselines, validation metrics, and boundaries of use.

Systems integration

Attention to interfaces, monitoring, rollback, operating cost, human collaboration, and sustainable use.

Operational value

Beyond offline metrics, papers should clarify field benefit, risk control, and maintenance strategy.

Editorial Standards

Four questions a strong EII submission should answer

01

Is the problem real?

State the engineering objective, constraints, operating scenario, stakeholders, and key metrics.

02

Is the method justified?

Explain why the chosen technical complexity is appropriate and compare it with practical baselines.

03

Is the evidence credible?

Provide reproducible experiments, error analysis, robustness checks, and data/code documentation where possible.

04

Can it be sustained?

Clarify deployment, monitoring, rollback, maintenance cost, responsibility boundaries, and failure modes.

For Authors

Prepare review‑ready and production‑ready submissions

Use the 2026 manuscript template, author guidance, and the online example to align structure, formatting, and submission materials.

We recommend preparing figure source files, ethics statements, and data/code availability notes to move smoothly into editorial review.