AIMC Topic: Yellow Fever

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AI-driven convolutional neural networks for accurate identification of yellow fever vectors.

Parasites & vectors Aug 2, 2024
BACKGROUND: Identifying mosquito vectors is crucial for controlling diseases. Automated identification studies using the convolutional neural network (CNN) have been conducted for some urban mosquito vectors but not yet for sylvatic mosquito vectors ...
Neural Networks, Computer Artificial Intelligence Algorithms Animals Image Processing, Computer-Assisted Culicidae Aedes Mosquito Vectors Yellow Fever
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Quantum associative memory with linear and non-linear algorithms for the diagnosis of some tropical diseases.

Neural networks : the official journal of the International Neural Network Society Sep 21, 2017
This paper presents the QAMDiagnos, a model of Quantum Associative Memory (QAM) that can be a helpful tool for medical staff without experience or laboratory facilities, for the diagnosis of four tropical diseases (malaria, typhoid fever, yellow feve...
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Databases, Factual User-Computer Interface Smartphone Malaria Quantum Theory Typhoid Fever Nonlinear Dynamics Dengue Tropical Medicine Yellow Fever
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