Moisés Felipe Mello da Silva
Orcid: 0000-0001-7897-3978
According to our database1,
Moisés Felipe Mello da Silva
authored at least 18 papers
between 2013 and 2024.
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Bibliography
2024
PCA-Assisted Fuzzy Clustering Approach for Soft-Failure Detection in Optical Networks.
Proceedings of the International Conference on Optical Network Design and Modeling, 2024
Disaggregated Confidentiality-Preserving Scheme for Fault Detection in Optical Networks.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024
Effectiveness of Confidentiality-Preserving Clustering Algorithms for Soft Failure Detection in Optical Networks.
Proceedings of the 25th IEEE International Conference on High Performance Switching and Routing, 2024
2023
Confidential Detection of Multiple Failures in Optical Networks: an Experimental Evaluation.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023
2022
Learning Long- and Short-Term Temporal Patterns for ML-Driven Fault Management in Optical Communication Networks.
IEEE Trans. Netw. Serv. Manag., 2022
Confidentiality-preserving machine learning algorithms for soft-failure detection in optical communication networks.
JOCN, 2022
Peer-to-peer disaggregated telemetry for autonomic machine-learning-driven transceiver operation.
JOCN, 2022
Bringing Disaggregated Telemetry and ML to the Transceiver for Autonomic Signal Adaptation.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022
2021
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021
2020
A rotationally invariant semi-autonomous particle swarm optimizer with directional diversity.
Swarm Evol. Comput., 2020
Sparse and Random Sampling Techniques for High-Resolution, Full-Field, BSS-Based Structural Dynamics Identification from Video.
Sensors, 2020
2019
Swarm Evol. Comput., 2019
2018
A semi-autonomous particle swarm optimizer based on gradient information and diversity control for global optimization.
Appl. Soft Comput., 2018
2017
A Global Expectation-Maximization Approach Based on Memetic Algorithm for Vibration-Based Structural Damage Detection.
IEEE Trans. Instrum. Meas., 2017
2016
A novel unsupervised approach based on a genetic algorithm for structural damage detection in bridges.
Eng. Appl. Artif. Intell., 2016
2015
Applicability of linear and nonlinear principal component analysis for damage detection.
Proceedings of the 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015
2014
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2014
2013
Proceedings of the XXVIII Simpósio Brasileiro de Banco de Dados - Short Papers, Recife, Pernambuco, Brasil, September 30, 2013