About LNLM:
Learning and NonLinear Models (ISSN 1676-2789) is the official journal of the Brazilian Society for Computational Intelligence (SBIC) and has been published online since 2003. The journal is committed with the use of persistent identifiers for both, papers and researchers. Therefore, all papers are permanently indexed with DOI and researchers are requested to include their ORCID identifier along the paper submission. All papers are open-access and there is no publication fee. The journal publishes papers reporting theoretical and practical advances in the several areas of Computational Intelligence.
Special Issue:
Researchers are invited to submit high-quality papers and surveys with focus on the most recent advances in Applications of Computational Intelligence (CI) in Healthcare. The scope of this special issue includes, but it is not limited to, the following topics:
- CI in Telemedicine
- CI in Medical Image Analysis
- Computer-aided diagnosis based on CI
- Decision support systems based on CI
- CI in Bioinformatics
- Data analytics and mining for biomedical decision support
- Methodological, philosophical, ethical, and social issues of CI in healthcare
Submission:
Manuscripts must be written in English and prepared according to the journal template available at: https://sbic.org.br/lnlm/instrucoes-para-autores. The PDF version (10-15 pages for regular papers, and 15-20 pages for surveys) should be submitted to the guest editors by email (fabricio@utfpr.edu.br , rtinos@ffclrp.usp.br). Papers will be peer-reviewed. Papers previously published in conferences can be submitted as long as they are substantially extended, improving their quality and adding some new experiments/results. In this case, authors should submit the original published paper together with a letter explaining the improvements made to the version submitted to LNLM.
Schedule:
- Deadline for manuscripts submission: 2024, March 29th
- First Review results notification: 2024, May 31st
- Final decision notification (expected): 2024, September
- Publication (expected): 2024, October
Guest Editors:
- Fabrício Martins Lopes, Departamento de Computação, Universidade Tecnológica Federal do Paraná
- Renato Tinós, Departamento de Computação e Matemática, FFCLRP, Universidade de São Paulo