Letpub ((new)) | Neural Computing And Applications

Neural Computing and Applications (NCAA), published by Springer, is a Q1-ranked journal focusing on practical neural computing applications with a reported 2025 impact factor of approximately 4.7 . According to

: Community data indicates an acceptance rate of roughly 50% , though this varies significantly by paper quality. neural computing and applications letpub

to track its impact factor, ranking, and community peer-review feedback. Submission & Author Guidelines Neural Computing and Applications (NCAA)

: Your title and abstract should clearly state what problem your neural model is solving. Purely theoretical math without a benchmark or case history often gets a "desk reject". Polish Your English published by Springer

The applications of neural computing are vast and diverse, transforming industries and revolutionizing the way we live and work. Some of the most significant applications include: