Road surface defects are crucial problems for safe and smooth traffic flow. Due to climate
changes, low quality of construction material, large flow of traffic, and heavy vehicles, road …

Low-power consumption and scarce computational resources limit the computation at the
edge. Besides, the approximate computing paradigm reports promising techniques for …

FPGAs constitute a flexible and increasingly popular controlling solution for robotic
applications. Their core advantages regarding high computational performance and …

El bajo consumo de potencia, recursos computacionales escasos y los pocos grados de
libertad para la optimización limitan la implementación de soluciones para la inferencia de …

Convolutional Neural Network (CNN) is a specific type of algorithm that has become
dominant in image recognition and classification. Currently, there is a tendency to migrate …

Road surface defects are crucial problems for safe and smooth traffic flow. Due to climate
changes, low quality of construction material, large flow of traffic, and heavy vehicles, road …

A popularização de redes neurais para problemas de classificação, a disponibilidade de
ferramentas para descrição e treinamento de tais redes em serviços de nuvem e softwares …