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Auxílio ao diagnóstico automático do esôfago de Barrett utilizando aprendizado de máquina
(Universidade Federal de São Carlos, 2022-03-28)
Esophageal adenocarcinoma is an illness that is usually hard to detect at the early stages in the presence of Barrett's esohagus. The development of automatic evaluation systems of such illness may be very useful, thus ...
Restauração de imagens utilizando aprendizado de máquina
(Universidade Federal de São Carlos, 2019-03-08)
Image processing is an area that has received considerable attention as a result of the evo-
lution of digital computing technology. One of the main techniques of image processing
concerns its restoration, which consists ...
Uma abordagem de sistema de recomendação orientada pelo aprendizado sem fim
(Universidade Federal de São Carlos, 2014-02-28)
Recommender Systems have a very well defined function: recommend something to someone. Through Artificial Intelligence techniques, more particularly from areas such as Data Mining and Machine Learning, it is possible to ...
Melhorando a qos de streamig de vídeo adaptativo através de um loop de controle inteligente em redes programáveis
(Universidade Federal de São Carlos, 2024-02-08)
Video traffic constitutes a significant portion of Internet traffic, directly impacting the Quality of Service (QoS) for several applications sharing the network. Emerging on-demand video streaming technologies, like Dynamic ...
Modelo preditivo de situações como apoio à consciência situacional e ao processo decisório em sistemas de resposta à emergência
(Universidade Federal de São Carlos, 2017-08-28)
Situation Awareness (SAW) is a concept widely used in areas that require critical decision making, and refers to the ability of an individual or team to perceive, understand and anticipate the future state of a current ...
Aprendizado de máquina aplicado ao auxílio do diagnóstico da doença de Parkinson
(Universidade Federal de São Carlos, 2017-07-26)
Currently, it is not a trivial task to point out a test that can diagnose accurately enough a patient
with Parkinson’s Disease, as well as it is quit difficult to assess the level of the disease.
Experts recommend the ...
Single, multi- and many-objective meta-heuristic algorithms applied to pattern recognition
(Universidade Federal de São Carlos, 2019-07-10)
In the last few years, metaheuristic algorithms have been used for solving several problems in engineering, biology, physics, among others, since many of them can be modeled as being optimization tasks. Metaheuristic methods ...
Sistema de visão e inteligência computacional em ambiente de nuvem para gestão de risco da ferrugem asiática na cultura da soja
(Universidade Federal de São Carlos, 2024-02-19)
Controlling Asian Soybean Rust (Phakopsora pachyrhizi) in soybeans (Glycine max (L.) Merril) often requires high fungicide use, which can lead to resistance. Thus, new control solutions are needed for mitigation. This work ...
Abordagem de computação paralela para geração de bases de regras fuzzy em problemas de grande volume e de alta dimensionalidade dos dados usando algoritmos genéticos multiobjetivo de ordenação por não dominância
(Universidade Federal de São Carlos, 2022-07-28)
The development of Rule-Based Fuzzy Systems (FRBS) brings with it the need to address issues related to the desirable balance between the conflicting objectives of accuracy (measure related to the system's ability to ...