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Academic Units

Faculty of Business and Law

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Book Section

Publication year

Between 2000 and 2024

Results 41 resources

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Abstracts

Fong, S. J., Marques, J. A. L., Li, G., Dey, N., Crespo, R. G., Herrera-Viedma, E., Gois, F. N. B., & Neto, J. X. (2022). The Comparison of Different Linear and Nonlinear Models Using Preliminary Data to Efficiently Analyze the COVID-19 Outbreak. In J. A. L. Marques & S. J. Fong (Eds.), Epidemic Analytics for Decision Supports in COVID19 Crisis (pp. 65–81). Springer International Publishing. https://doi.org/10.1007/978-3-030-95281-5_3
Fong, S. J., Marques, J. A. L., Li, G., Dey, N., Crespo, R. G., Herrera-Viedma, E., Gois, F. N. B., & Neto, J. X. (2022). Probabilistic Forecasting Model for the COVID-19 Pandemic Based on the Composite Monte Carlo Model Integrated with Deep Learning and Fuzzy System. In J. A. L. Marques & S. J. Fong (Eds.), Epidemic Analytics for Decision Supports in COVID19 Crisis (pp. 83–102). Springer International Publishing. https://doi.org/10.1007/978-3-030-95281-5_4
Fong, S. J., Marques, J. A. L., Li, G., Dey, N., Crespo, R. G., Herrera-Viedma, E., Gois, F. N. B., & Neto, J. X. (2022). The Application of Supervised and Unsupervised Computational Predictive Models to Simulate the COVID19 Pandemic. In J. A. L. Marques & S. J. Fong (Eds.), Epidemic Analytics for Decision Supports in COVID19 Crisis (pp. 103–139). Springer International Publishing. https://doi.org/10.1007/978-3-030-95281-5_5
Marques, J. A. L., Fong, S. J., Li, G., Arraut, I., Gois, F. N. B., & Neto, J. X. (2022). Research and Technology Development Achievements During the COVID-19 Pandemic—An Overview. In J. A. L. Marques & S. J. Fong (Eds.), Epidemic Analytics for Decision Supports in COVID19 Crisis (pp. 1–15). Springer International Publishing. https://doi.org/10.1007/978-3-030-95281-5_1
Bernardo Gois, F. N., Lima, A., Santos, K., Oliveira, R., Santiago, V., Melo, S., Costa, R., Oliveira, M., Henrique, F. das C. D. M., Neto, J. X., Martins Rodrigues Sobrinho, C. R., & Lôbo Marques, J. A. (2021). Predictive models to the COVID-19. In U. Kose, D. Gupta, V. H. C. de Albuquerque, & A. Khanna (Eds.), Data Science for COVID-19 (pp. 1–24). Academic Press. https://doi.org/10.1016/B978-0-12-824536-1.00023-X
Phillips, J. O. L. (2021). Ritual and the Sacred in Peter Shaffer’s Theatre. In Sacred and the Everyday: Comparative approaches to literature, religious and secular (pp. 137–150). University of Saint Joseph.
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2020). Artificial Intelligence Prediction for the COVID-19 Data Based on LSTM Neural Networks and H2O AutoML. In Predictive Models for Decision Support in the COVID-19 Crisis (pp. 69–87). Springer International Publishing. https://doi.org/10.1007%2F978-3-030-61913-8_5
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2020). Epidemiology Compartmental Models—SIR, SEIR, and SEIR with Intervention. In Predictive Models for Decision Support in the COVID-19 Crisis (pp. 15–39). Springer International Publishing. https://doi.org/10.1007%2F978-3-030-61913-8_2
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2020). Forecasting COVID-19 Time Series Based on an Autoregressive Model. In Predictive Models for Decision Support in the COVID-19 Crisis (pp. 41–54). Springer International Publishing. https://doi.org/10.1007%2F978-3-030-61913-8_3
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2020). Nonlinear Prediction for the COVID-19 Data Based on Quadratic Kalman Filtering. In Predictive Models for Decision Support in the COVID-19 Crisis (pp. 55–68). Springer International Publishing. https://doi.org/10.1007%2F978-3-030-61913-8_4
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2020). Predicting the Geographic Spread of the COVID-19 Pandemic: A Case Study from Brazil. In Predictive Models for Decision Support in the COVID-19 Crisis (pp. 89–98). Springer International Publishing. https://doi.org/10.1007%2F978-3-030-61913-8_6
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2020). Prediction for Decision Support During the COVID-19 Pandemic. In Predictive Models for Decision Support in the COVID-19 Crisis (pp. 1–13). Springer International Publishing. https://doi.org/10.1007%2F978-3-030-61913-8_1
Lei, W. C. (2020). The Road to Service Export Diversification: Gambling and Convention in Macao. In E. Lau, B. Simonetti, I. Trinugroho, & L. M. Tan (Eds.), Economics and Finance Readings: Selected Papers from Asia-Pacific Conference on Economics & Finance, 2019. Springer Singapore. https://doi.org/10.1007/978-981-15-2906-1
Carreiras, H., & Leandro, F. J. (2018). Obediência militar, liberdade e consciência, Ética Aplicada: Política, Edições 70, (pp. 339–364).
Leandro, F. J. (2018). The OBOR Global Geopolitical Drive: The Chinese Access Security Strategy -. In Julien Chaisse and Jędrzej Górski (Ed.), Law, Economics, and Politics (pp. 83–106). Brill. https://brill.com/view/ti-tle/38740
Leandro, F. J. B. S. (2018). The OBOR geopolitical drive: the Chinese access security Strategy. In J. C. and L. Nottage (Ed.), The Belt and Road Initiative Law, Economics, and Politics. Brill.
Lobo-Marques, J. Al. (2018). Artificial intelligence and forensic computing. In Forensic Computing.
Davey, G., & Rato, R. (2014). Macau, Quality of Life. In A. C. Michalos (Ed.), Encyclopedia of Quality of Life and Well-Being Research (pp. 3737–3740). Springer Netherlands. https://doi.org/10.1007/978-94-007-0753-5_3953
Porschitz, E. T., Guo, C., & Alves, J. (2012). “Going through the mist”: early career transitions of Chinese Millennial returnees. In E. Ng, S. Lyons, & L. Schweitzer, Managing the New Workforce (pp. 86–106). Edward Elgar Publishing. https://doi.org/10.4337/9780857933010.00010
Rato, R., & Davey, G. (2012). Quality of Work Life in Macau. In H. Selin & G. Davey (Eds.), Happiness Across Cultures: Views of Happiness and Quality of Life in Non-Western Cultures (pp. 95–106). Springer Netherlands. https://doi.org/10.1007/978-94-007-2700-7_7

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