Consistently ranked in Q1 for Artificial Intelligence and Software according to Scopus and SJR.
: Supervised/unsupervised learning and self-learning systems. Applications
Neural Computing And Applications - Impact Factor, Indexing, Time, Fees
Keep it concise, explicitly mentioning the novel methodology and the specific application.
One of the most valuable features of the LetPub platform is its community-driven repository of author experiences. Before submitting to Neural Computing and Applications, review the platform’s comment sections to gain insights into: Current editorial preferences or specific thematic trends. Average response speeds of specific handling editors.
Genetic algorithms, particle swarm optimization, and hybrid bio-inspired systems.
Understanding how to leverage LetPub data can significantly increase your chances of acceptance in this highly competitive journal. What is Neural Computing and Applications?
However, most users conclude that NCAA is a worth the wait.
Do not just compare against a simple multilayer perceptron. Compare against recent (2022–2024) methods: transformers, graph neural networks, or domain-specific SOTA. Reviewers will penalize weak baselines.
Mastering the Neural Computing and Applications Submission Process: A LetPub Guide
: Case histories in forecasting, diagnostics, and control systems. Key Metrics (2024-2026 Data) Journal Quartile (Top-tier in its field) Acceptance Rate
Papers leveraging genetic algorithms, particle swarm optimization, or novel biomimetic strategies (such as the Swordfish Movement Optimization Algorithm) for feature selection and hyperparameter tuning find a highly receptive audience here. 3. Industrial and Cross-Domain Applications
NCA employs a rigorous process, meaning the identities of both authors and reviewers are concealed from each other. To facilitate this, authors must: