Abstract: Deep Neural Networks (DNNs) have recently made significant strides in various fields; however, they are susceptible to adversarial examples—crafted inputs with imperceptible perturbations ...
Abstract: This letter aimed to develop and investigate a compensation method for measurement errors in sweat sensors that can simultaneously measure local sweat rates ...
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