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Método para contagem de plantas de milho baseado no processamento digital de imagens multiespectrais utilizando Drones em ambiente de campo
(Universidade Federal de São Carlos, 2022-03-15)
The processing of multispectral images acquired with an embedded camera in unmanned aerial vehicles (Drones) has brought new opportunities for precision agriculture. In such a context, this work presents a method for ...
Quantificação da tortuosidade de vasos sanguíneos: definições e influência das etapas de realce e segmentação
(Universidade Federal de São Carlos, 2021-11-08)
Morphological features of blood vessels can be used as markers of several pathologies affecting the tissues of organisms. Among these features, tortuosity displays a vital role in the study and diagnostic of conditions ...
Auditchain: um mecanismo para atestar a integridade de logs baseado na prova de existência em blockchain pública
(Universidade Federal de São Carlos, 2021-04-12)
Digital data are critical to people and companies, acting as a crucial element in the decisionmaking process in different areas. Thus, attesting to data integrity is crucial because forgery can result in significant losses. ...
Caracterização de um dataset de mobilidade dos ônibus da cidade de São Paulo
(Universidade Federal de São Carlos, 2021-01-28)
Simulation is a widely used technique for validation and testing of routing protocols in vehicular networks (VANETs). These simulations are based on mobility models that must follow the real movement patterns of vehicles ...
Detecção de câncer de próstata em imagens de microscopia utilizando grafos de contexto glandular
(Universidade Federal de São Carlos, 2021-04-19)
Every year a large part of the male population is affected by Prostate Cancer (PCa), with many cases of deaths occurring especially in men over 40 years old. PCa is a pervasive condition that diffuses and manifests itself ...
Redução de ruído Poisson com o algoritmo BM3D utilizando distâncias estocásticas
(Universidade Federal de São Carlos, 2021-06-02)
Noise is a problem constantly present in digital images incoming from multiple sources, being important to study noise filters to improve the quality of images. When dealing with radiographic images, Poisson noise is an ...
Análise de uma implementação distribuída do algoritmo de detecção de novidade em fluxos de Dados MINAS para detecção de intrusão em um ambiente de névoa
(Universidade Federal de São Carlos, 2021-07-05)
The ongoing implementation of the Internet of Things (IoT) is sharply increasing
the number and variety of small devices on edge networks.
Likewise, the attack opportunities for hostile agents also grows, requiring ...
Lean UX Research: um framework para pesquisa em design construtivo
(Universidade Federal de São Carlos, 2022-05-30)
Constructive Design Research (CDR) aims to produce design knowledge through experimentation and debate within the academic community about the process of designing and evaluating an artifact. However, many studies in this ...
Avanços recentes em caracterização e classificação de imagens de texturas: explorando teoria da informação, aprendizado profundo e de variedades
(Universidade Federal de São Carlos, 2020-04-30)
The task of extracting features from images is a very important activity for many computer vision and image processing applications. Especially the characterization and identification of textures is a fundamental issue in ...
Aprendizado de subcategorias para Never-ending Language Learning: uma abordagem baseada em perguntas e respostas
(Universidade Federal de São Carlos, 2021-01-08)
In recent years, ontologies have been used in information systems to index large corpora of documents or collections of facts and directly support user interaction with the system through functionalities such as navigation ...