Special issues

Special Issue on Emerging trends in Artificial Intelligence and Machine Learning

Neural Computing and Applications

Impact factor: 4.664 

Journal cover

Extended versions of high quality manuscripts presented at the 4th Mediterranean Conference on Pattern Recognition and Artificial Intelligence (MedPRAI 2020) are invited for potential publication in a Special Issue on “Emerging trends in Artificial Intelligence and Machine Learning” in Neural Computing and Applications, scheduled for publication in the 3rd quarter of 2021. In addition to the selected papers from MedPRAI-2020, the special issue is open to all contributions covering the recent advancements in different areas of Machine Learning and Artificial Intelligence. Submissions are invited in the following topics of interest:

Statistical, structural and syntactic pattern recognition, neural networks, machine learning, data mining, graph-based techniques for pattern recognition, object recognition, signal analysis, image coding and processing, shape and texture analysis, computer vision, robotics, remote sensing, document processing, text and graphics recognition, digital libraries, speech recognition, music analysis, multimedia systems, natural language analysis, information retrieval, biometrics, biomedical pattern analysis and artificial intelligence.

Submission Procedure

Manuscripts should conform to the standard guidelines of the Neural Computing and Applications. Instructions for formatting papers can be found on the journal website. Prospective authors should submit the electronic copy of their complete manuscript via the EM online submission system.

Important Dates

  • Full paper due: March 20, 2021
  • First notification: May 20, 2021
  • Revised manuscript (for second review) due: June 20, 2021
  • Acceptance notification: July 20, 2021
  • Final manuscript due: September 20, 2021
  • Publication of the special issue: 3rd Quarter of 2021 (tentative)

Link to the special issue: https://www.springer.com/journal/521/updates/17917990

In case of any queries, please feel free to contact us at: yousri.kessentini@crns.rnrt.tn


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