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Ervin Galan-Uribe, Luis Morales-Velazquez and Roque Alfredo Osornio-Rios
Industrial processes involving manipulator robots require accurate positioning and orienting for high-quality results. Any decrease in positional accuracy can result in resource wastage. Machine learning methodologies have been proposed to analyze failur...
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Maria Inês Frutuoso, Horácio C. Neto, Mário P. Véstias and Rui Policarpo Duarte
Wearable devices used for personal monitoring applications have been improved over the last decades. However, these devices are limited in terms of size, processing capability and power consumption. This paper proposes an efficient hardware/software embe...
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Weikun Xie, Wenjing Qi, Xiaohui Lin and Houjun Wang
With the rapid development of integrated circuit production technology, the scale of FPGA circuits has expanded to billions of gates. The complexity of the internal resource structures in the FPGAs (field programmable gate arrays) is continually increasi...
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Cataldo Guaragnella, Agostino Giorgio and Maria Rizzi
Structures for the evaluation of fast Fourier transforms are important components in several signal-processing applications and communication systems. Their capabilities play a key role in the performance enhancement of the whole system in which they are...
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Fatima Zahra Guerrouj, Sergio Rodríguez Flórez, Mohamed Abouzahir, Abdelhafid El Ouardi and Mustapha Ramzi
Convolutional Neural Networks (CNNs) have been incredibly effective for object detection tasks. YOLOv4 is a state-of-the-art object detection algorithm designed for embedded systems. It is based on YOLOv3 and has improved accuracy, speed, and robustness....
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