**Appendices and nomenclature**

*Vectors and Vector-Borne Zoonotic Diseases*

method is to artificially enlarge the dataset [6]."

*Representation of underfitting and overfitting. "Adapted from [1]".*

different populations of the same species.

that humans have discovered in our millenarian existence.

**5. Conclusions**

**Figure 10.**

**Acknowledgements**

**Conflict of interest**

We have no "conflict of interest."

There are some methods to reduce overfitting. "The easiest and most common

Novel and important applications are available with the development of data mining methods. Artificial intelligence techniques are an important field to be applied on the control of vector-borne diseases. A complete and accurate identification of the 5000 mosquito's species that were already identified should be tested in this model as well as other species groups, such as complex or cryptic species, and in

Artificial intelligence could help to develop a system that anyone, who capture larvae or adult's mosquitos in several regions, can identify the *Aedes* mosquito. In the near future, a complete identification of any insect or new nonclassified ones that exist in this world could be automatically classified by anyone using a smartphone. AI will never replace mankind but will help to keep memories and activities

This project received financial support from Fundação de Amparo à Pesquisa do Estado da Bahia—FAPESB via scholarships. We are thankfull to Daniel André Dias Imperial Pereira and Alexandre Morais Cavalcanti, students at University Center SENAI/CIMATEC. We also thank Eduardo Oyama, entomologist from the Technology Institute of Health—SENAI CIMATEC, for supporting the work and sharing his experience. We are also in debt with the Department of Culicidae collection from Fiocruz

Rio de Janeiro, especially Maycon Neves and Monique Motta from their staff.

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