RESEARCH
Artificial Intelligence
Machine Learning
Data & Intelligent Systems
Algorithms & Software
VOLUME 1 · 2026
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State the research question, related work, datasets, preprocessing, train-validation-test splits, baselines, evaluation metrics and experimental protocol. Report hyperparameters, computing environment, random seeds, ablation studies and uncertainty or statistical tests where relevant. Distinguish measured results from interpretation and discuss limitations.
Include a Data and Code Availability Statement. Provide code, data, trained models and documentation in a stable repository where permissions allow. Explain restrictions involving privacy, security, licensing or sensitive data. Studies involving people, identifiable data, surveillance, high-risk applications or dual-use capabilities must report appropriate ethics review, consent, safeguards and risk assessment.
Provide a separate title page and an anonymized manuscript for double-blind review. Disclose funding, competing interests, author contributions and any material use of generative AI tools.
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Artificial Intelligence
Machine Learning
Data & Intelligent Systems
Algorithms & Software
VOLUME 1 · 2026