Computation: Recent Submissions
Now showing items 21-30 of 1779
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COVID-VR : deep learning COVID-19 classification model using volume-rendered computer tomography
(2022) [Dissertation]A pandemia da COVID-19 trouxe diversos desafios aos sistemas de saúde em todo o mundo. Como a maioria dos pacientes com COVID-19 tem infecções pulmonares, uma tomografia computadorizada (TC) do tórax se mostra eficiente ... -
DeAR: combining desktop and augmented reality for visual data analysis
(2024) [Dissertation]Most Visual Data Analysis tools in the literature focus on conventional Desktop environ ments, where interactions via mouse and keyboard are typically used. While such tools can be extremely efficient for many analytical ... -
MiddleFog : a middleware to mitigate the latency in IoT communication devices
(2024) [Dissertation]A Internet das Coisas (IoT) vai além do uso de dispositivos inteligentes. Ela simboliza a transformação do mundo analógico para o digital, permitindo uma tomada de decisões mais eficiente. Para atender à crescente demanda ... -
In-network computing : overcoming constraints, failures, and configuration challenges
(2024) [Thesis]Programmable switches are networking forwarding devices that allow customized, stateful functionalities to run at line rate. Unlike fixed-functionality switches, programmable switches offer higher versatility and innovation ... -
Enhancing classification with hybrid feature selection : a multi-objective genetic algorithm for high-dimensional data
(2024) [Dissertation]Feature selection is a fundamental step in machine learning, serving to reduce dataset redundancy, accelerate training speed, and improve model quality. This is particularly crucial in high-dimensional datasets, where the ... -
Explorando a fronteira da tomada de decisões : realidade virtual e habilidades espaciais no planejamento estratégico
(2024) [Dissertation]O uso de cartas topográficas para orientação não é uma tarefa fácil exigindo capacidades específicas associadas à correspondência com o mundo real influenciadas pelas habilidades espaciais. Usualmente, como solução recorre-se ... -
Meta-learning for classifier ensemble optimization
(2024) [Dissertation]As machine learning becomes more popular, it is natural for non-experts to desire to leverage machine learning for their tasks. However, selecting an algorithm and fine-tuning it to work well on a given task is complex and ... -
NEATRouter : a new tool for 2D global routing
(2024) [Dissertation]Due to technological advancement in various fields of daily life, the demand for more complex and compact integrated circuits is constantly growing. To address the design of such circuits, continuous innovation in Electronic ... -
Geração de circuitos a partir de BDDs : simplificações possíveis a partir da decomposição de shannon
(2021) [Dissertation]Esta dissertação apresenta uma contribuição para a geração de circuitos digitais a partir de diagramas de decisão binários (BDDs). Existe um método trivial para síntese de circuitos digitais a partir de BDDs onde cada nodo ... -
Monocular depth estimation applied to global localization over 2D floor plans
(2024) [Dissertation]Indoor global localization is a critical aspect of autonomous robotic navigation. The increasing demand for service consumer-grade robots that require self-localization calls for research on methods that work with easy ...