Search Results - "ENDO, TAKAKO"

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    Simulating Fog and Edge Computing Scenarios: An Overview and Research Challenges by Svorobej, Sergej, Takako Endo, Patricia, Bendechache, Malika, Filelis-Papadopoulos, Christos, Giannoutakis, Konstantinos, Gravvanis, George, Tzovaras, Dimitrios, Byrne, James, Lynn, Theo

    Published in Future internet (26-02-2019)
    “…The fourth industrial revolution heralds a paradigm shift in how people, processes, things, data and networks communicate and connect with each other…”
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    Journal Article
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    Machine learning and deep learning techniques to support clinical diagnosis of arboviral diseases: A systematic review by da Silva Neto, Sebastião Rogério, Tabosa Oliveira, Thomás, Teixeira, Igor Vitor, Aguiar de Oliveira, Samuel Benjamin, Souza Sampaio, Vanderson, Lynn, Theo, Endo, Patricia Takako

    Published in PLoS neglected tropical diseases (01-01-2022)
    “…Neglected tropical diseases (NTDs) primarily affect the poorest populations, often living in remote, rural areas, urban slums or conflict zones. Arboviruses…”
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    Simulating Resource Management across the Cloud-to-Thing Continuum: A Survey and Future Directions by Bendechache, Malika, Svorobej, Sergej, Takako Endo, Patricia, Lynn, Theo

    Published in Future internet (01-06-2020)
    “…In recent years, there has been significant advancement in resource management mechanisms for cloud computing infrastructure performance in terms of cost,…”
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    Eigenvalues of Two-State Quantum Walks Induced by the Hadamard Walk by Endo, Shimpei, Endo, Takako, Komatsu, Takashi, Konno, Norio

    Published in Entropy (Basel, Switzerland) (20-01-2020)
    “…Existence of the eigenvalues of the discrete-time quantum walks is deeply related to localization of the walks. We revealed, for the first time, the…”
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    Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks by Santos, Guto Leoni, Endo, Patricia Takako, Monteiro, Kayo Henrique de Carvalho, Rocha, Elisson da Silva, Silva, Ivanovitch, Lynn, Theo

    Published in Sensors (Basel, Switzerland) (06-04-2019)
    “…Human falls are a global public health issue resulting in over 37.3 million severe injuries and 646,000 deaths yearly. Falls result in direct financial cost to…”
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    Examining the determinants of acceptance and use of mobile contact tracing applications in Brazil: An extended privacy calculus perspective by Fox, Grace, Werff, Lisa, Rosati, Pierangelo, Takako Endo, Patricia, Lynn, Theo

    “…Mobile contact tracing applications have emerged as a potential solution to track and reduce the transmission of viruses such as Covid‐19. These applications…”
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    A comparative analysis of converters of tabular data into image for the classification of Arboviruses using Convolutional Neural Networks by Medeiros Neto, Leonides, Rogerio da Silva Neto, Sebastião, Endo, Patricia Takako

    Published in PloS one (08-12-2023)
    “…Tabular data is commonly used in business and literature and can be analyzed using tree-based Machine Learning (ML) algorithms to extract meaningful…”
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    When 5G Meets Deep Learning: A Systematic Review by Santos, Guto Leoni, Endo, Patricia Takako, Sadok, Djamel, Kelner, Judith

    Published in Algorithms (01-09-2020)
    “…This last decade, the amount of data exchanged on the Internet increased by over a staggering factor of 100, and is expected to exceed well over the 500…”
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    Artificial Mercosur license plates dataset by Silvano, Gilles Velleneuve Trindade, Silva, Ivanovitch, Ribeiro, Vinícius Campos Tinoco, Greati, Vitor Rodrigues, Bezerra, Aguinaldo, Endo, Patricia Takako, Lynn, Theo

    Published in Data in brief (01-12-2020)
    “…Mercosur (a.k.a. Mercosul) is a trade bloc comprising five South American countries. In 2018, a unified Mercosur license plate model was rolled out. Access to…”
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    Short- and Very Short-Term Firm-Level Load Forecasting for Warehouses: A Comparison of Machine Learning and Deep Learning Models by Ribeiro, Andrea Maria N. C., do Carmo, Pedro Rafael X., Endo, Patricia Takako, Rosati, Pierangelo, Lynn, Theo

    Published in Energies (Basel) (01-02-2022)
    “…Commercial buildings are a significant consumer of energy worldwide. Logistics facilities, and specifically warehouses, are a common building type which remain…”
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    Syphilis Trigram: a domain-specific visualisation to combat syphilis epidemic and improve the quality of maternal and child health in Brazil by de Morais, Cleber Matos, Teixeira, Igor Vitor, Sadok, Sara, Endo, Patricia Takako, Kelner, Judith

    Published in BMC pregnancy and childbirth (01-05-2022)
    “…The Brazilian healthcare system is a large and complex system, specially considering its mixed public and private funding. The incidence of syphilis has…”
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    A Comparative Study of Deep Learning Models for Dental Segmentation in Panoramic Radiograph by da Silva Rocha, Élisson, Endo, Patricia Takako

    Published in Applied sciences (01-03-2022)
    “…Introduction: Dental segmentation in panoramic radiograph has become very relevant in dentistry, since it allows health professionals to carry out their…”
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    On usage of artificial intelligence for predicting mortality during and post-pregnancy: a systematic review of literature by Silva Rocha, Elisson da, de Morais Melo, Flavio Leandro, de Mello, Maria Eduarda Ferro, Figueiroa, Barbara, Sampaio, Vanderson, Endo, Patricia Takako

    “…Care during pregnancy, childbirth and puerperium are fundamental to avoid pathologies for the mother and her baby. However, health issues can occur during this…”
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    Malaria Trigram: improving the visualization of recurrence data for malaria elimination by de Morais, Cleber Matos, de Carvalho Monteiro, Kayo Henrique, Brito-Sousa, Jose Diego, Monteiro, Wuelton Marcelo, Sampaio, Vanderson Souza, Endo, Patricia Takako, Kelner, Judith

    Published in Malaria journal (30-10-2021)
    “…Background Although considerable success in reducing the incidence of malaria has been achieved in Brazil in recent years, an increase in the proportion of…”
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    Convolutional Extreme Learning Machines: A Systematic Review by Rodrigues, Iago Richard, da Silva Neto, Sebastião Rogério, Kelner, Judith, Sadok, Djamel, Endo, Patricia Takako

    Published in Informatics (Basel) (01-06-2021)
    “…Much work has recently identified the need to combine deep learning with extreme learning in order to strike a performance balance with accuracy, especially in…”
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