Model Development and Validation
- Innovative neural network architectures for downscaling
- Validation techniques for extreme weather predictions
- Benchmarking against traditional downscaling methods
CDLDEWR - 2027 · 9 January 2027
Conference on Deep Learning Downscaling for Extreme Weather Resilience, Beijing, China
ISFECC invites researchers, scholars, educators and professionals to submit original work to the Conference on Deep Learning Downscaling for Extreme Weather Resilience (CDLDEWR-2027), held in Beijing, China on 9 January 2027.
CDLDEWR - 2027
Researchers, scholars, educators, and professionals are invited to submit original work to the Conference on Deep Learning Downscaling for Extreme Weather Resilience (CDLDEWR-2027). Start with an abstract that summarizes your research objectives, approach, and results, then follow the peer review procedure through to the final decision.
Send your abstract or full paper through the online submission form.
Selected papers go to ISSN journals, including Scopus and Web of Science indexed journals.
Every paper receives a unique DOI through Crossref, and printed proceedings carry an ISBN.
Best Paper and Best Presentation Awards, plus one excellent paper from each oral session.
Topics include, but are not limited to:
Contact
Questions about submission, registration, the invitation letter or publication? Send us a message and the conference team will reply by email.