Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks von Santos, Guto Leoni, Endo, Patricia Takako, Monteiro, Kayo Henrique de Carvalho, Rocha, Elisson da Silva, Silva, Ivanovitch, Lynn, Theo

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A comparative analysis of converters of tabular data into image for the classification of Arboviruses using Convolutional Neural Networks von Medeiros Neto, Leonides, Rogerio da Silva Neto, Sebastião, Endo, Patricia Takako

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Examining the determinants of acceptance and use of mobile contact tracing applications in Brazil: An extended privacy calculus perspective von Fox, Grace, Werff, Lisa, Rosati, Pierangelo, Takako Endo, Patricia, Lynn, Theo

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

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Simulating Resource Management across the Cloud-to-Thing Continuum: A Survey and Future Directions von Bendechache, Malika, Svorobej, Sergej, Takako Endo, Patricia, Lynn, Theo

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Machine learning and deep learning techniques to support clinical diagnosis of arboviral diseases: A systematic review von da Silva Neto, Sebastião Rogério, Tabosa Oliveira, Thomás, Teixeira, Igor Vitor, Aguiar de Oliveira, Samuel Benjamin, Souza Sampaio, Vanderson, Lynn, Theo, Endo, Patricia Takako

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Predicting congenital syphilis cases: A performance evaluation of different machine learning models von Teixeira, Igor Vitor, da Silva Leite, Morgana Thalita, de Morais Melo, Flávio Leandro, da Silva Rocha, Élisson, Sadok, Sara, Pessoa da Costa Carrarine, Ana Sofia, Santana, Marília, Pinheiro Rodrigues, Cristina, de Lima Oliveira, Ana Maria, Vieira Gadelha, Keduly, de Morais, Cleber Matos, Kelner, Judith, Endo, Patricia Takako

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Resource allocation for distributed cloud: concepts and research challenges von Endo, P. T., de Almeida Palhares, A. V., Pereira, N. N., Goncalves, G. E., Sadok, D., Kelner, J., Melander, B., Mangs, J.

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Analyzing the availability and performance of an e-health system integrated with edge, fog and cloud infrastructures von Santos, Guto Leoni, Takako Endo, Patricia, Ferreira da Silva Lisboa Tigre, Matheus Felipe, Ferreira da Silva, Leylane Graziele, Sadok, Djamel, Kelner, Judith, Lynn, Theo

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When 5G Meets Deep Learning: A Systematic Review von Santos, Guto Leoni, Endo, Patricia Takako, Sadok, Djamel, Kelner, Judith

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High availability in clouds: systematic review and research challenges von Endo, Patricia T., Rodrigues, Moisés, Gonçalves, Glauco E., Kelner, Judith, Sadok, Djamel H., Curescu, Calin

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Availability analysis of design configurations to compose virtual performance‐optimized data center systems in next‐generation cloud data centers von Rosendo, Daniel, Gomes, Demis, Leoni Santos, Guto, Silva, Leylane, Moreira, Andre, Kelner, Judith, Sadok, Djamel, Gonçalves, Glauco, Mehta, Amardeep, Wildeman, Mattias, Takako Endo, Patricia

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Short- and Very Short-Term Firm-Level Load Forecasting for Warehouses: A Comparison of Machine Learning and Deep Learning Models von Ribeiro, Andrea Maria N. C., do Carmo, Pedro Rafael X., Endo, Patricia Takako, Rosati, Pierangelo, Lynn, Theo

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Gamification applied to an elderly monitoring system during the COVID-19 pandemic von Leite Araujo, Rogerio, Da Silva Sena, Thiago, Takako Endo, Patricia

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DCAV: A software system to evaluate next‐generation cloud data center availability through a friendly graphical interface von Moreira, Andre, Rosendo, Daniel, Gomes, Demis, Leoni Santos, Guto, Silva, Leylane, Cani, Carolina, Kelner, Judith, Sadok, Djamel, Gonçalves, Glauco, Mehta, Amardeep, Wildeman, Mattias, Takako Endo, Patricia

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Aggregating data center measurements for availability analysis von da Silva Rocha, Élisson, G. F. da Silva, Leylane, Santos, Guto L., Bezerra, Diego, Moreira, André, Gonçalves, Glauco, Marquezini, Maria Valéria, Mehta, Amardeep, Wildeman, Mattias, Kelner, Judith, Sadok, Djamel, Endo, Patricia T.

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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 von de Morais, Cleber Matos, Teixeira, Igor Vitor, Sadok, Sara, Endo, Patricia Takako, Kelner, Judith

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Latin America in the clutches of an old foe: Dengue von Alied, Marcel, Endo, Patricia Takako, Aquino, Victor Hugo, Vadduri, Venkata Vasavi, Huy, Nguyen Tien

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A Comparative Study of Deep Learning Models for Dental Segmentation in Panoramic Radiograph von da Silva Rocha, Élisson, Endo, Patricia Takako

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On usage of artificial intelligence for predicting mortality during and post-pregnancy: a systematic review of literature von Silva Rocha, Elisson da, de Morais Melo, Flavio Leandro, de Mello, Maria Eduarda Ferro, Figueiroa, Barbara, Sampaio, Vanderson, Endo, Patricia Takako

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