most citedWine quality rapid detection using a compact electronic nose system: application focused on spoilage thresholds by acetic acid

103 citations · 129 across the 4 of their papers we have counts for

collaborators

5 papers

quant-ph202110 cited

Quantum Walk to Train a Classical Artificial Neural Network

Luciano S. de Souza, Jonathan H. A. de Carvalho, Tiago A. E. Ferreira

This work proposes a computational procedure that uses a quantum walk in a complete graph to train classical artificial neural networks. The idea is to apply the quantum walk to se…

quant-ph202115 cited

Classical Artificial Neural Network Training Using Quantum Walks as a Search Procedure

Luciano S. de Souza, Jonathan H. A. de Carvalho, Tiago A. E. Ferreira

This paper proposes a computational procedure that applies a quantum algorithm to train classical artificial neural networks. The goal of the procedure is to apply quantum walk as…

cs.NE20211 cited

A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function

Tiago A. E. Ferreira, Marios Mattheakis, Pavlos Protopapas

The activation function plays a fundamental role in the artificial neural network learning process. However, there is no obvious choice or procedure to determine the best activatio…

gr-qc2020

Gravitational Wave Detection and Information Extraction via Neural Networks

Gerson R. Santos, Marcela P. Figueiredo, Antonio de Pádua Santos +2

Laser Interferometer Gravitational-Wave Observatory (LIGO) was the first laboratory to measure the gravitational waves. It was needed an exceptional experimental design to measure…

eess.SP2020103 cited

Wine quality rapid detection using a compact electronic nose system: application focused on spoilage thresholds by acetic acid

Juan C. Rodriguez Gamboa, Eva Susana Albarracin E., Adenilton J. da Silva +2

It is crucial for the wine industry to have methods like electronic nose systems (E-Noses) for real-time monitoring thresholds of acetic acid in wines, preventing its spoilage or d…