# NPL — Neural Processing Letters

- **Publisher**: Springer
- **ISSN**: 1370-4621
- **Impact factor**: 2.8
- **CCF rank**: C
- **Trackers**: 20
- **Canonical page**: https://www.myhuiban.com/journal/233

## Special issues

| Title | Submission deadline |
|---|---|
| Machine Learning for Human Activity Recognition and Analysis | 2026-07-15 |

## Call for papers

Aims and scope Neural Processing Letters is an international journal that promotes fast exchange of the current state-of-the art contributions among the artificial neural network community of researchers and users. The Journal publishes technical articles on various aspects of artificial neural networks and machine learning systems. Coverage includes novel architectures, supervised and unsupervised learning algorithms, deep nets, learning theory, network dynamics, self-organization, optimization, biological neural network modelling, and hybrid neural/fuzzy logic/genetic systems. The Journal publishes articles on methodological innovations for the applications of the afore mentioned systems in classification, pattern recognition, signal processing, image and video processing, robotics, control, autonomous vehicles, financial forecasting, big data analytics, and other multidisciplinary applications.

## Related conferences

- ICC — International Conference on Communications — https://www.myhuiban.com/conference/318
- IJCNN — International Joint Conference on Neural Networks — https://www.myhuiban.com/conference/428
- TrustCom — International Conference on Trust, Security and Privacy in Computing and Communications — https://www.myhuiban.com/conference/1289
- ICONIP — International Conference on Neural Information Processing — https://www.myhuiban.com/conference/437
- HPCC — International Conference on High Performance  Computing and  Communications — https://www.myhuiban.com/conference/232

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- Operations Research Letters — https://www.myhuiban.com/journal/1012

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Source: Conference Partner — https://www.myhuiban.com/journal/233 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)