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Combining K-Means and XGBoost Models for Anomaly Detection Using Log Datasets

Henriques, J., Caldeira, F., Cruz, T., Simões, P. (2023).
Combining K-Means and XGBoost Models for Anomaly Detection Using Log Datasets.
In Víctor A. V. (Ed.), Advanced Cybersecurity Services Design (pp. 57-72).
Switzerland: MDPI.
doi:10.3390/electronics9071164

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Underage citizens monitoring applications – A review of the state of the art and guidelines for future implementations

Chappara, M., Ribeiro, F., & Metrôlho, J. (2023).
Underage citizens monitoring applications – A review of the state of the art and guidelines for future implementations.
International Journal of Engineering Science Technologies, 7(4), 1–18.
https://doi.org/10.29121/ijoest.v7.i4.2023.524

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Algorithms and Models for Automatic Detection and Classification of Diseases and Pests in Agricultural Crops: A Systematic Review

Francisco, M., Ribeiro, F., Metrôlho, J., Dionísio, R. (2023).
Algorithms and Models for Automatic Detection and Classification of Diseases and Pests in Agricultural Crops: A Systematic Review.
Applied Sciences, 13(8), 4720.
https://doi.org/10.3390/app13084720

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A Novel Elastic Sensor Sheet for Pressure Injury Monitoring: Design, Integration, and Performance Analysis

Amini, M. M., Devin, M. G. F., Alves, P., Sheikholeslami, D. F., Hariri, F., Dionísio, R., Faghihi, M., et al. (2023).
A Novel Elastic Sensor Sheet for Pressure Injury Monitoring: Design, Integration, and Performance Analysis.
Electronics, 12(17), 3655.
https://doi.org/10.3390/electronics12173655

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PoPu-Data: A Multilayered, Simultaneously Collected Lying Position Dataset

Fonseca, L., Ribeiro, F., Metrôlho, J., Santos, A., Dionisio, R., Amini, M. M., Silva, A. F., et al. (2023).
PoPu-Data: A Multilayered, Simultaneously Collected Lying Position Dataset.
Data, 8(7), 120.
https://doi.org/10.3390/data8070120

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