Neural Computing And Applications Letpub

Neural Computing and Applications (NCAA) is a high-profile international journal published by Springer. It is highly regarded for its focus on the practical application of neural computing and related intelligent systems.

Some report fast review (~2 months)
Others note delays if reviewers are slow
Acceptance rate: ~20–30% (estimate)

Title

A concise overview of "Neural Computing and Applications" — publishing with LetPub guidance neural computing and applications letpub

6. LetPub User Reviews Summary (Common Pros/Cons)

✅ Pros

Reasonable first decision time
Good reputation in neural networks / applied AI
Springer platform is professional
No mandatory OA – good for unfunded authors

: Interpretable pattern recognition for electric vehicle battery health. Springer Nature Link For authors planning a submission, LetPub's Journal Selector Neural Computing and Applications (NCAA) is a high-profile

Step 3: Format According to Springer Guidelines

LetPub users often complain about desk rejects due to formatting. Use: Some report fast review (~2 months) Others note

Aims & Scope

Neural Computing and Applications publishes original research and reviews in the fields of neural computing and related applications. It covers:

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Introduction