José Manoel de Seixas

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Pulmonary tuberculosis (PTB) remains a worldwide public health problem. Diagnostic algorithms to identify the best combination of diagnostic tests for PTB in each setting are needed for resource optimization. We developed one artificial neural network model for classification (multilayer perceptron—MLP) and another risk group assignment (self-organizing(More)
—This work reports on the development of a multi-channel analyzer (MCA) circuit for use in radiation detection. The MCA is based on a fast analog-to-digital converter (ADC) plus a digital circuitry programmed on a complex programmable logic device (CPLD). The ADC digitizes the input signals with high accuracy and low nonlinearity while the CPLD performs the(More)