Litcius/Paper detail

Automatic detection of Aedes aegypti breeding grounds based on deep networks with spatio-temporal consistency

Wesley L. Passos, Gabriel Araújo, Amaro A. de Lima, Sérgio L. Netto, Eduardo A. B. da Silva

2022Computers Environment and Urban Systems33 citationsDOI

Topics & Concepts

Aedes aegyptiArtificial intelligenceComputer scienceChikungunyaObject detectionConsistency (knowledge bases)Yellow feverDeep learningConvolutional neural networkComputer visionPattern recognition (psychology)Dengue feverBiologyEcologyImmunologyVirusVirologyLarvaMosquito-borne diseases and controlSmart Agriculture and AIAdvanced Neural Network Applications
Automatic detection of Aedes aegypti breeding grounds based on deep networks with spatio-temporal consistency | Litcius