Swarming morlet wavelet neural network procedures for the mathematical robot system.

Peerapongpat Singkibud, Zulqurnain Sabir, Irwan Fathurrochman, Sharifah E Alhazmi, Mohamed R Ali

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Article in Informatics in medicine unlocked, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Peerapongpat SingkibudDepartment of Applied Mathematics and Statistics, Faculty of Sciences and Liberal Arts, Rajamangala University of Technology Isan, Nakhon Ratchasima, 30000, Thailand.

Zulqurnain SabirDepartment of Mathematics and Statistics, Hazara University, Mansehra, Pakistan.

Irwan FathurrochmanDepartment of Islamic Educational Management, Institute Agama Islam Negeri Curup, Rejang Lebong, Indonesia.

Sharifah E AlhazmiMathematics Department, Al-Qunfudah University College, Umm Al-Qura University, Mecca, Saudi Arabia.

Mohamed R AliFaculty of Engineering and Technology, Future University, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The task of this work is to present the solutions of the mathematical robot system (MRS) to examine the positive coronavirus cases through the artificial intelligence (AI) based Morlet wavelet neural network (MWNN). The MRS is divided into two classes, infected

Indexed as

Active set procedureArtificial intelligenceMathematical robot systemMorlet waveletNumerical solutionsParticle swarm optimization

Identifiers

PMID36185733

DOI10.1016/j.imu.2022.101081

PMCPMC9507784

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.