Improving Robustness Using MixUp and CutMix Augmentation for Corn Leaf Diseases Classification based on ConvMixer Architecture

Corn leaf diseases such as blight spot, gray leaf spot, and common rust still lurk in corn fields.This problem must be solved to help corn farmers.The ConvMixer model, consisting of a patch embedding layer, is a new model with a simple structure.When training a model with ConvMixer, improvisation is an important part that needs to be further Bathro

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Voice disorders in mucosal leishmaniasis.

INTRODUCTION: Leishmaniasis is considered as one of the six most important infectious diseases because of its high detection coefficient and ability to produce deformities.In most cases, mucosal leishmaniasis (ML) occurs as a consequence of cutaneous leishmaniasis.If left untreated, mucosal lesions can leave sequelae, interfering in the swallowing,

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Use of Google EarthTM to strengthen public health capacity and facilitate management of vector-borne diseases in resource-poor environments

OBJECTIVE: Novel, inexpensive solutions are needed for improved management of vector-borne and other diseases in resource-poor environments.Emerging free software providing access to satellite imagery and simple editing tools (e.g.Google EarthTM) complement existing geographic information system (GIS) software and provide new opportunities for: (i)

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