Publication Guidelines
Quick, quality-focused rules for preparing and submitting your manuscript to JDDIEA.
Originality & Similarity Screening
Every submission is checked using a similarity report (e.g., Turnitin/iThenticate or equivalent). High overlap may be returned for revision or rejected during initial screening depending on the severity. Editorial decisions consider context such as the sources of overlap, where it appears (methods/background vs. core contribution), and the quality of quotation and citation.
JDDIEA accepts papers that demonstrate real engineering impact using data-driven intelligence. Acceptance is based on technical merit, validation strength, originality, and clarity.
1) Keep these ready before you submit
- ✓Final manuscript in the correct format/template.
- ✓Correct title, abstract, keywords, author details, affiliations.
- ✓High-quality figures/tables and any supplementary files (if applicable).
- ✓Funding, conflicts of interest, and acknowledgements (if applicable).
2) What we expect in a high-quality paper
- ✓Clear engineering problem and why it matters.
- ✓Well-defined method (AI/ML/analytics/IoT/control/optimization etc.).
- ✓Measurable validation (experiments/simulation/benchmarks/deployment).
- ✓Comparison against relevant baselines where possible.
Initial Screening (first check)
- ✓Scope match + complete files/metadata.
- ✓Similarity report reviewed for originality (context-aware, not a single-number rule).
- ✓No duplicate submission (not under review elsewhere).
- ✓Correct authorship (only real contributors included).
Common return reasons: excessive unattributed overlap, missing author details, unclear methodology, weak validation, poor figure quality, or incomplete references.
Read this before submitting
For detailed rules on originality, authorship, duplicate submission, conflicts, and corrections, read Publication Ethics.
Submit only original, well-validated work that fits JDDIEA scope. Strong methodology and measurable results improve acceptance.