5 citations · 7 across the 5 of their papers we have counts for
5 papers
VIANA: character Value-enhanced Intensity Assessment via domain-informed Neural Architecture
Luana P. Queiroz, Icaro S. C. Bernardes, Ana M. Ribeiro +2
Predicting the perceived intensity of odorants remains a fundamental challenge in sensory science due to the complex, non-linear behavior of their response, as well as the difficul…
PUFFIN: A Path-Unifying Feed-Forward Interfaced Network for Vapor Pressure Prediction
Vinicius Viena Santana, Carine Menezes Rebello, Luana P. Queiroz +3
Accurately predicting vapor pressure is vital for various industrial and environmental applications. However, obtaining accurate measurements for all compounds of interest is not p…
Bio-inspired Algorithms in the Optimisation of Wireless Sensor Networks
Joana Matos, Carine M. Rebello, Erbet A. Costa +3
WSN are a growing technology in industrial and personal use fields. The Quality of Service (QoS) of WSN is associated to the architecture of WSN nodes and network design. In this w…
A Robust Scientific Machine Learning for Optimization: A Novel Robustness Theorem
Luana P. Queiroz, Carine M. Rebello, Erber A. Costa +4
Scientific machine learning (SciML) is a field of increasing interest in several different application fields. In an optimization context, SciML-based tools have enabled the develo…
A new Reinforcement Learning framework to discover natural flavor molecules
Luana P. Queiroz, Carine M. Rebello, Erbet A. Costa +5
The flavor is the focal point in the flavor industry, which follows social tendencies and behaviors. The research and development of new flavoring agents and molecules are essentia…