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Neural Computing and Applications

1997 - 2024
Jahrgänge
321
Ausgaben
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Ausgabe 34/2024
Aktuelle Ausgabe

Neural Computing and Applications OnlineFirst articles

Retinal fundus image enhancement using an ensemble framework for accurate glaucoma detection

  • S.I.: Intelligent Systems in Biomedical and Healthcare Informatics

Novel wavelet-LSTM approach for time series prediction

  • S.I.: Timely Advances of Deep Learning with applications and Data Driven Modeling

An explainable approach for prediction of remaining useful life in turbofan condition monitoring

  • S.I.: Timely Advances of Deep Learning with applications and Data Driven Modeling

Über diese Zeitschrift

Neural Computing & Applications is an international journal which publishes original research and other information in the field of practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro-fuzzy systems.

All items relevant to building practical systems are within its scope, including contributions in the area of applicable neural networks theory, supervised and unsupervised learning methods, algorithms, architectures, performance measures, applied statistics, software simulations, hardware implementations, benchmarks, system engineering and integration and case histories of innovative applications.

Featured contributions fall into several categories: Original Articles, Review Articles, Forum Presentations, Book Reviews, Announcements and NCAF News.

The Original Articles will be high-quality contributions, representing new and significant research, developments or applications of practical use and value. They will be reviewed by at least two referees. The Forum Presentations will be summaries of oral presentations made at quarterly meetings of the Natural Computing Applications Forum which will generally be reviewed by one referee.

Metadaten
Titel
Neural Computing and Applications
Abdeckung
Jahrgang 5/1997 - Jahrgang 36/2024
Verlag
Springer London
Elektronische ISSN
1433-3058
Print ISSN
0941-0643
Zeitschriften-ID
521
DOI
https://doi.org/10.1007/521.1433-3058