Comparing machine learning, deep learning, and reinforcement learning performance in Culex pipiens predictive modeling

• Wei Yin,

  Roles Data curation, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation School of Mathematical and Statistical Sciences, The University of Texas Rio Grande Valley, Edinburg, Texas, United States of America

  https://orcid.org/0009-0000-5824-2289

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• Sanad H. Ragab,

  Roles Data curation, Writing – review & editing

  Affiliation Department of Zoology and Entomology, Faculty of Science (Boys), Al-Azhar University, Nasr City, Cairo, Egypt

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• Michael G. Tyshenko,

  Roles Methodology, Writing – review & editing

  Affiliation Risk Sciences International, Ottawa, Canada

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• Teresa Feria Arroyo,

  Roles Writing – review & editing

  Affiliation School of Integrative Biological and Chemical Sciences, The University of Texas Rio Grande Valley, Edinburg, Texas, United States of America

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• Tamer Oraby

  Roles Conceptualization, Formal analysis, Methodology, Project administration, Writing – original draft, Writing – review & editing

  * E-mail: tamer.oraby@utrgv.edu

  Affiliation School of Mathematical and Statistical Sciences, The University of Texas Rio Grande Valley, Edinburg, Texas, United States of America

  https://orcid.org/0000-0002-8176-1324

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