Výsledky vyhledávání - "Seman, Laio Oriel"

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Deep-learning-based Early Fixing for Gas-lifted Oil Production Optimization: Supervised and Weakly-supervised Approaches

Autor: Pacheco, Bruno Machado, Seman, Laio Oriel, Camponogara, Eduardo

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 and the gas-oil ratio, are updated, the problems must be repeatedly s

Externí odkaz: http://arxiv.org/abs/2309.00197

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Graph Neural Networks for the Offline Nanosatellite Task Scheduling Problem

Autor: Pacheco, Bruno Machado, Seman, Laio Oriel, Rigo, Cezar Antonio, Camponogara, Eduardo, Bezerra, Eduardo Augusto, Coelho, Leandro dos Santos

This study investigates how to schedule nanosatellite tasks more efficiently using Graph Neural Networks (GNNs). In the Offline Nanosatellite Task Scheduling (ONTS) problem, the goal is to find the optimal schedule for tasks to be carried out in orbi

Externí odkaz: http://arxiv.org/abs/2303.13773

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