• Efficient constraint-based approach for endoscopic surgery simulation 

  Martins, Marcelo Gomes (2024) [Dissertação]

  This dissertation addresses the longstanding challenge of achieving realism in surgery simulators, particularly those simulating colonoscopy, where traditional approaches often fail to capture the complex dynamics of ...
• Architecture optimization and design tools for CAM-based accelerators : from general-purpose to machine learning 

  Lima, João Paulo Cardoso de (2025) [Tese]

  The integration of AI/ML methods across various domains has been fueled by the vast amount of accumulated data over the past years. However, the energy-intensive nature of data-centric applications, compounded by the ...
• Designing and evaluating immersive analytics environments for spatio-temporal data 

  Wagner Filho, Jorge Alberto (2025) [Tese]

  In this work, I investigate the hypothesis that immersive and stereoscopic Virtual Reality environments, coupled with natural embodied interaction, will better support the visual exploration of three-dimensional spatio-temporal ...
• Reliability evaluation of low-power embedded devices under radiation 

  Bodmann, Pablo Rafael (2024) [Tese]

  Ensuring reliability is a paramount concern across various industries, from consumer applications to highly specialized fields such as automotive, military, aerospace, and HighPerformance Computing (HPC). Arm CPU architectures, ...
• Producing synthetic instances for textual classification and natural language inference 

  Bencke, Luciana Regina (2024) [Tese]

  Natural Language Inference (NLI) is a special type of text classification focused on deduction – a model is presented to a pair of sentences (premise and hypothesis) and classifies the relationship between their meanings. ...
• Estratégias de interação para treinamento de endoscopia em realidade virtual 

  Silva, Jonas Monticelli da (2024) [Dissertação]

  Estudantes de medicina precisam praticar exaustivamente para adquirir as habilidades necessárias durante sua formação e por vezes precisam usar pacientes reais no seu treinamento, o que pode ser arriscado para ambos. ...
• In-network computing : overcoming constraints, failures, and configuration challenges 

  Parizotto, Ricardo (2024) [Tese]

  Programmable switches are networking forwarding devices that allow customized, stateful functionalities to run at line rate. Unlike fixed-functionality switches, pro grammable switches offer higher versatility and innovation ...
• Um estudo sobre isolamento de fatias de redes 5G baseado em ferramentas nativas de computação em nuvem e borda 

  Andrade, Maiko de (2025) [Dissertação]

  A evolução das redes móveis revolucionaram a forma de comunicação e de como interagimos entre nós. Desde a primeira geração de rede móveis, que possibilitou a comunicação por voz sem a necessidade de cabos e em movimentos, ...
• Utilização da defesa em profundidade na segurança de redes táticas de borda 

  Lawisch, Márcio Antônio (2025) [Dissertação]

  As operações militares atuais exigem tropas flexíveis e adaptáveis, que devem ser capazes de cooperar com agências civis e coalizões em cenários urbanos e de campo aberto. Além disso, existe uma grande variedade de ...
• Overcoming technological barriers in ReRAM based neural networks by addressing scalability and complexity challenges 

  Moura, Rafael Fão de (2024) [Tese]

  As Artificial Intelligence techniques gain popularity, researchers are working to make Neural Networks (NNs) more energy-efficient, addressing challenges posed by limited device resources. One promising solution is using ...

Ver mais