Referência: LEAL, Adriano Galindo. Doutor GPT: o novo colega de plantão dos profissionais de saúde; como integrá-lo ao ecossistema? In: WORKSHOP In.Lab CCT “CIÊNCIA, TECNOLOGIA E INOVAÇÃO”, 4., 2023, São Paulo. Palestra… 21 slides. Acesso aos slides da apresentação da Palestra em PDF: https://escriba.ipt.br/pdf/178554.pdf
Resumo: A tecnologia LoRa – Long Range permite a comunicação sem fio de dados a longas distâncias com baixo consumo de energia, alcançando até 15 quilômetros em condições ideais, e variando de 3 km a 4 km em áreas urbanas e até 12 km em áreas rurais. Ideal para aplicações Leia mais…
Referência: SILVA, Celso Luciano Alves da; AUGUSTIN, Eric; PEDROSA, Francisco Junior Batista; GAVA, Vagner Luiz; SOUZA, Tayna Cunha. Uso de rede neural profunda para segmentação de imagens visando a avaliação do grau de liberação de minérios. In: WORKSHOP DE MODELAGEM E SIMULAÇÃO COMPUTACIONAL NO IPT: INOVAÇÃO E SUSTENTABILIDADE, 1., 2023, Leia mais…
Referência: NICESIO, Otavio Kiytake; LEAL, Adriano Galindo. A systematic literature review of machine learning approaches for in-browser crystojacking detection. In: CYBER SECURITY IN NETWORKING CONFERENCE, 7., 2023, Montréal. Lecture… 33 slides. Acesso aos slides da apresentação da Palestra em PDF: https://escriba.ipt.br/pdf/178676.pdf
Referência: MARTINS, André Guilherme da Costa. Transcriptômica aplicada ao estudo de vacinas. São Paulo, 2023. 58 slides. (Palestra apresentada no Programa de Pós-graduação Milticêntrico em Bioquímica e Biologia Molecular, Campus Centro-Oeste Dona Lindu, Divinópolis) Acesso aos slides da apresentação da Palestra em PDF: https://escriba.ipt.br/pdf/178635.pdf
Abstract: This paper presents a study on applying machine learning (ML) techniques to analyze a dataset comprising anonymized technical inspections of approximately 4,000 rainwater galleries within the drainage systems alongside Brazilian highways. Periodic inspections to evaluate structural safety while also identifying any existing anomalies for subsequent activities such as instrument Leia mais…
Abstract: This paper analyzes the state-of-the-art machine learning techniques for detecting in-browser cryptojacking. Our study follows a systematic literature review encompassing three phases: planning, conduction, and synthesis. We provide a com prehensive overview of the approaches, highlighting gaps, areas for improvement, and unique features while categorizing each technique. We identified Leia mais…
Abstract: Quantum computing presents potential advantages over classical computing in terms of computational complexity. Therefore, it is expected for quantum machine learning applications to have improvements in capacity and learning efficiency over classical machine learning methods. This paper aims to present a Systematic Literature Review of articles published between 2017 Leia mais…
Abstract: The rVSVDG-ZEBOV-GP (Ervebo®) vaccine is both immunogenic and protective against Ebola. However, the vaccine can cause a broad range of transient adverse reactions, from headache to arthritis. Identifying baseline reactogenicity signatures can advance personalized vaccinology and increase our understanding of the molecular factors associated with such adverse events. In Leia mais…
Abstract: In this work, we address the problem of unsuper vised image segmentation, subject to high-level constraints ex pected for the objects of interest. More specifically, we handle the segmentation of a hierarchy of objects with nested boundaries, each with its own expected boundary polarity constraint. To this end, this Leia mais…
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