Despite significant investments in access network infrastructure, universal access to high-quality Internet connectivity remains a challenge. Policymakers often rely on large-scale, crowdsourced measurement datasets to assess the distribution of access network performance across geographic areas. These decisions typically rest on the assumption tha...
TCC (graduação) - Universidade Federal de Santa Catarina, Campus Joinville, Engenharia de Transportes e Logística. / A expansão urbana e uso crescente de automóveis agravaram o congestionamento nas cidades, prejudicando a logística e aumentando os custos de transporte. Em adição, o comércio eletrônico iniciou uma tendência de prazos de entrega cada...
Deep learning models for plant species identification rely on large annotated datasets. The PlantNet system enables global data collection by allowing users to upload and annotate plant observations, leading to noisy labels due to diverse user skills. Achieving consensus is crucial for training, but the vast scale of collected data makes traditiona...
This study examines how crowdsourcing can support innovation in companies. It focuses on the Not Invented Here (NIH) syndrome—a reluctance to adopt external ideas—that varies depending on which organizational boundaries are considered, such as power, competence, and culture. By analyzing how these boundaries influence resistance to crowdsourced sol...
User satisfaction is significantly influenced by their expectations of video quality. Even when users are presented with identical video stimuli, the Quality of Experience (QoE) can vary based on the context. The acceptability and annoyance paradigm serves as a tool to understand this relationship by measuring QoE as a function of user expectations...
BACKGROUND: While many patients seem to recover from SARS-CoV-2 infections, many patients report experiencing SARS-CoV-2 symptoms for weeks or months after their acute COVID-19 ends, even developing new symptoms weeks after infection. These long-term effects are called post-acute sequelae of SARS-CoV-2 (PASC) or, more commonly, Long COVID. The over...
While classification datasets are composed of more and more data, the need for human expertise to label them is still present. Crowdsourcing platforms are a way to gather expert feedback at a low cost. However, the quality of these labels is not always guaranteed. In this thesis, we focus on the problem of label ambiguity in crowdsourcing. Label am...
Dissertação (mestrado profissional) - Universidade Federal de Santa Catarina, Centro de Ciências da Saúde, Programa de Pós-Graduação em Informática em Saúde, Florianópolis, 2024. / A quantidade de acidentes de trânsito varia entre os países, dependendo de fatores como infraestrutura de transporte, segurança viária, cultura de direção entre outros. ...
A typical crowdsourcing task is concept labeling, where participants annotate e.g. images using a list of predefined concepts. Recent popular campaigns for environmental bird monitoring even use hierarchies of concepts (taxonomies of species) to obtain the most precise labeling of bird images. But in most applications, volunteer opinions are isolat...
ABSTRACT GPS Accuracy of Smartphones for Crowdsourcing Research Derron Dike Utilizing crowdsourcing with smartphones as a method for field data collection can contribute an array of data for scientific studies and land management applications. This study used crowdsourcing to examine smartphone built-in GPS performance for providing location-specif...
