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Author Guidelines – WCMLEINIP 2027, Pattaya

World Conference on Machine Learning, Edge Intelligence & Neural Information Processing Systems — WCMLEINIP 2027

Dates

11–12 January 2027

Venue

Pattaya, Thailand

Field

World Conference on Machine Learning, Edge Intelligence & Neural Information Processing Systems

Abstract

Write the abstract in English and send it in .doc or .docx format. It should clearly state the purpose, significance and key aspects of the research in 150–250 words, using complete sentences, active voice and clear academic language. You are told by email within one week whether the abstract is accepted.

Full Paper

Authors of accepted abstracts send their full paper for review as a Microsoft Word document of 4 to 8 pages, including tables, figures and references. Papers are peer reviewed and must present original research that has not been published before, in clear and concise English. The review does not correct language errors, and papers with many grammatical errors may be rejected.

Oral Presentation

All presentations are in English, the official language of the conference, and last up to 15 minutes, followed by about 5 minutes of questions and answers. Prepare a PowerPoint presentation, keep a backup copy in your email or cloud storage and bring a copy on a USB drive.

Poster Presentation

Prepare a poster on your research and send it as a PDF after acceptance. The recommended size is A0 (841 × 1189 mm), portrait or landscape. Print and bring your poster; it is displayed for the whole conference. Poster presenters may give a short talk followed by 5 minutes of questions.

Virtual Presentation

Present with a pre-recorded video (MP4), a PowerPoint presentation with voice-over, or live online. Pre-recorded presentations are played at the scheduled time, followed by questions where possible. For a live presentation, test your connection, camera and microphone in advance. Registered virtual authors receive the PDF proceedings and a certificate.

See You in Pattaya This January

Present your research, meet peers from over 50 countries and help shape the future of World Conference on Machine Learning, Edge Intelligence & Neural Information Processing Systems.