ADDitively Manufactured OPTimized Structures by means of Machine Learning (ADDOPTML)
Proceedings of the International Conferences on Digital Technology Driven Engineering 2024.
ISDTDE supports high-quality publication pathways for conference contributions, including peer-reviewed proceedings volumes and curated thematic outputs. This page lists our published proceedings and outlines our publication principles (ethics, transparency, and reproducibility).
Peer-reviewed proceedings volumes published in Springer’s Lecture Notes in Civil Engineering (LNCE).
Proceedings of the International Conferences on Digital Technology Driven Engineering 2024.
Proceedings of the International Conferences on Digital Technology Driven Engineering 2024.
Proceedings of the International Conferences on Digital Technology Driven Engineering 2024.
For future volumes, ISDTDE maintains a consistent peer-review workflow and camera-ready checks, aligned with the publisher’s requirements and the society’s ethics and COI policies.
Published by: ESN Press
ISDTDE supports an independent, peer-reviewed journal that publishes high-quality research at the intersection of engineering, computation, data, and digital workflows—covering digital twins, cyber-physical systems, AI for engineering, sensing-to-model pipelines, scalable computation, and trustworthy deployment.
Overview, aims & scope, and journal information.
Visit IJDTDETemplates, policies, peer review, and ethics.
Author guidelinesSubmit via the journal’s independent editorial platform (e.g., OJS).
Submit to IJDTDE
Tip: Replace YOUR-IJDTDE-DOMAIN with your deployed journal domain (or relative paths if hosted under the same site).
If IJDTDE is hosted as a subfolder (e.g., /journal/), set links like journal/index.html.
All contributions undergo peer review coordinated by the conference Scientific Committee. ISDTDE supports transparent criteria, reviewer guidance, and editorial consistency across conferences.
ISDTDE upholds research integrity and does not tolerate plagiarism, fabricated data, or duplicate submissions. Authors must appropriately cite prior work and declare any competing interests.
Authors are responsible for permissions for third-party figures/tables and for compliance with the publisher’s copyright and licensing policies. Where possible, authors are encouraged to use original or openly licensed material.
Ask the publications team →ISDTDE encourages authors to share data, code, and supplementary materials when feasible, respecting privacy, IP, and contractual constraints. Where sharing is not possible, authors should describe data provenance and provide sufficient methodological detail for reuse.
Zenodo • institutional repositories • GitHub/GitLab (with DOI where possible).
Code • input data • trained models • scripts • reproducibility notes • test cases.
Cite datasets/software with persistent identifiers (DOI) whenever possible.
For proceedings proposals, publisher coordination, camera-ready instructions, or indexing questions, please contact the ISDTDE Publications & Proceedings Committee.