Computación: Envíos recientes
Mostrando ítems 91-100 de 1828
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Evaluation of mapless navigation for unknown indoor environment exploration by single and multiple autonomous mobile robots using Deep Reinforcement Learning
(2022) [Tesis de maestría]Efficient exploration of unknown environments is a fundamental requirement for modern autonomous mobile robot applications. The traditional exploration approach focuses on sensing the world to build a map and using the ... -
A machine learning approach for petroleum production forecasting in a digital twin
(2024) [Tesis de maestría]Digital Twins (DTs), a forefront technology in Industry 4.0, find extensive applications in O&G, particularly in asset performance management. By virtually replicating a physical asset, DTs provide a digital platform for ... -
Providing an energy-efficient UAV Base Station positioning mechanism to improve wireless connectivity
(2024) [Tesis]In an era marked by the omnipresence of wireless communication, the need for exceptional connectivity has experienced an unprecedented surge. The evolution towards Sixth-Generation (6G) networks has not only emphasized ... -
Improving the efficiency of multi threaded processing in-memory
(2022) [Tesis de maestría]Processing-in-Memory (PIM), with the help of modern memory integration tech nologies, has emerged as a practical approach to mitigate the memory wall and improve performance and energy efficiency in contemporary applications. ... -
A GIS-based methodology for optimal allocation of acute stroke centers across the globe : a case study in Rio Grande do Sul
(2024) [Tesis de maestría]Acute stroke is a major global cause of disability, particularly in low- and middle-income countries, responsible for 87% of related disabilities. Improving access to acute stroke centers (ASCs) with limited resources ... -
Characterizing affordances using AR for laparoscopic surgeries and challenges of planning a mixed reality remote collaboration application
(2024) [Tesis de maestría]The advantages of Minimally Invasive Abdominal Surgery (MIAS) over traditional open surgery include shorter recovery time, less blood loss, and less postoperative pain and complications. However, laparoscopic surgeries are ... -
BB25HLegalSum : a method for legal document summarization that leverages BM25 and BERT-based clustering
(2024) [Tesis de maestría]Legal document summarization aims to provide a clear understanding of the main points and arguments in a legal document, contributing to the efficiency of the judicial system. In this work, we propose BB25HLegalSum, a ... -
Investigating pooling in graph neural networks for cancer genomics classification and the generalizability of pan-cancer models to cancer-specific predictions
(2023) [Tesis de maestría]New sequencing technologies have lead to a massive generation of gene expression data, enabling the analysis and modeling of the genomic aspects of critical diseases, such as cancers. In this context, machine learning (ML) ... -
SSSD : explorando modelos pré-treinados e busca semântica para detecção de posicionamentos no Twitter
(2023) [Tesis de maestría]Neste trabalho, é apresentado o SSSD (Semantic Search Stance Detection), um método inovador baseado no paradigma de Aprendizado de Máquina Few-shot Learning para Detecção de Posicionamentos (DP). Esta técnica emprega Modelos ... -
Técnicas de tolerância a falhas controladas por software para a proteção do pipeline de processadores gráficos
(2023) [Tesis de maestría]A utilização de Processadores Gráficos (Graphics Processing Unit - GPU) na computação gráfica, em aceleradores de uso geral e Computação de Alto Desempenho (High Processing Computing - HPC), recentemente tiveram um crescimento ...