• Cálculos mecânicos quânticos no desenvolvimento de campos de força para série de cristais líquidos 3-(4-alquiloxifenil)-5-(4-aril)isoxazol 

  Silveira, Leandro Greff da (2024) [Tese]

  Neste trabalho é apresentado um protocolo automatizado para derivar campos de força (FFs) específicos e precisos, totalmente baseado em dados de mecânica quântica (QM) ab initio. Tais FFs, conhecidos como QMD-FFs, são ...
• Evaluating the effects of clustering and routing algorithms in satellite and HAPS networks 

  Silva, Juliano Antônio da (2025) [Dissertação]

  Non-Terrestrial Networks (NTN) applications have gained notoriety over the years, especially solutions using technologies such as satellite networks and High-Altitude Platform Station (HAPS). In the pace of technological ...
• Sample-efficient multi-task and multi-objective reinforcement learning by combining multiple behaviors 

  Alegre, Lucas Nunes (2025) [Tese]

  When solving sequential decision-making problems, humans exhibit different behaviors depending on the problem (or task) they are tasked with solving at a given moment. One of the main challenges in the field of artificial ...
• Deep learning applied to non-invasive ECG pregnancy monitoring : fetal ECG recovery and QRS complex detection 

  Remus, Julia Corrêa (2025) [Dissertação]

  The fetus may face oxygen restrictions during pregnancy that, under healthy conditions, are expected to be reversed by its physiological mechanisms. Monitoring these situations is typically performed by measuring fetal ...
• How to classify domain entities into top-level ontology concepts using language models : a study across multiple labels, resources, domains, and languages 

  Lopes Junior, Alcides Gonçalves (2025) [Tese]

  Classifying domain entities into their respective top-level ontology concepts is a com plex problem that typically demands manual analysis and deep expertise in the domain of interest and ontology engineering. An efficient ...
• Optimizing the squad : integrating managerial tactics into football team composition via integer programming 

  Dantas, Guilherme Pettene (2024) [Dissertação]

  Football presents a rich domain for the application of optimization techniques, as clubs continuously strive for excellence from their players and staff to secure wins. The chal-lenge of Football Team Composition has ...
• Pathfinding problem solutions in cubic grids with 3D neighborhood expansion 

  Santos, Tauana Ohland dos (2024) [Dissertação]

  Pathfinding in three-dimensional environments is essential for solving various application problems. Pathfinding in 3D scenarios presents significantly greater complexity than in two-dimensional contexts, primarily due to ...
• Probing wetting properties with self-propelled droplets 

  Boatini, Bernardo (2022) [Dissertação]

  When a drop of water is placed on a rough surface, several wetting regimes can occur. The droplet may remain in a dry state, with air pockets trapped underneath, or it may enter a wet state, characterized by homogeneous ...
• CNN-based methods and datasets for segmentation and counting of nuclei and AgNORs in AgNOR-stained images and for segmentation and classification of cells in papanicolaou-stained images 

  Rönnau, Maikel Maciel (2024) [Dissertação]

  Oral cancer is the sixth most common kind of human cancer. Early detection is crucial for lowering patient mortality. Two staining techniques, Argyrophilic staining of Nucleolar Organizer Regions (AgNORs) and Papanicolaou ...
• Síntese de 1,3-diinos contendo quinolina como bloco de construção e estudo fotofísico 

  Victory, Matias Ezequiel (2025) [Dissertação]

  Os 1,3-diinos são compostos com uma vasta variedade de aplicações na ciência dos materiais, especialmente como sensores e detectores, e na síntese orgânica, servindo como precursores para a síntese de diversos heterociclos. ...

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