142 citations · 146 across the 8 of their papers we have counts for
3 papers · 1 filter
Deep-learning-based Early Fixing for Gas-lifted Oil Production Optimization: Supervised and Weakly-supervised Approaches
Bruno Machado Pacheco, Laio Oriel Seman, Eduardo Camponogara
Maximizing oil production from gas-lifted oil wells entails solving Mixed-Integer Linear Programs (MILPs). As the parameters of the wells, such as the basic-sediment-to-water ratio…
Graph Neural Networks for the Offline Nanosatellite Task Scheduling Problem
Bruno Machado Pacheco, Laio Oriel Seman, Cezar Antonio Rigo +3
This study investigates how to schedule nanosatellite tasks more efficiently using Graph Neural Networks (GNNs). In the Offline Nanosatellite Task Scheduling (ONTS) problem, the go…
Vertex-based reachability analysis for verifying ReLU deep neural networks
João Zago, Eduardo Camponogara, Eric Antonelo
Neural networks achieved high performance over different tasks, i.e. image identification, voice recognition and other applications. Despite their success, these models are still v…