Analyzing the impact of power infrastructure failures on cloud application availability. - Élisson Rocha; Patricia Takako Endo; Guto Leoni Santos; Juliao Braga; Theo Lynn (SMC, 2017)

Developing an e-Health System Based on IoT, Fog and Cloud Computing. - Kayo Monteiro; Élisson Rocha; Emerson Remigio da Silva; Guto Leoni Santos; Wylliams Santos; Patricia Takako Endo (UCC Companion, 2018)

Detecting Epileptic Seizures Using Deep Learning with Cloud and Fog Computing. - Élisson Rocha; Kayo Monteiro; Emerson Remigio da Silva; Guto Leoni Santos; Wylliams Santos; Patricia Takako Endo (UCC Companion, 2018)

Optimizing Resource Availability in Composable Data Center Infrastructures. - Leylane Ferreira; Theo Lynn; Patricia Takako Endo; Élisson da Silva Rocha; Kayo Monteiro; Guto Leoni Santos; Francisco Airton Silva; Judith Kelner; Djamel Sadok; Carmelo J. A. Bastos Filho; Pierangelo Rosati (LADC, 2019)

Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks. - Guto Leoni Santos; Patricia Takako Endo; Kayo Monteiro; Élisson da Silva Rocha; Ivanovitch Silva; Theo Lynn (Sensors, 2019)

Analyzing the Impact of Micro Data Centers Failures in Cellular Networks: a Road Race Study. - Guto Leoni Santos; Diego de Freitas Bezerra; Élisson Rocha; Leylane Ferreira; Glauco Estácio Gonçalves; André L. C. Moreira; Judith Kelner; Djamel Sadok; Mattias Wildeman; Amardeep Mehta; Patricia Takako Endo (SMC, 2020)

How do checkpoint mechanisms and power infrastructure failures impact on cloud applications? - Guto Leoni Santos; Demis Gomes; Djamel Sadok; Judith Kelner; Élisson Rocha; Patricia Takako Endo (Int. J. Grid Util. Comput., 2020)

Benchmarking Machine Learning Models to Assist in the Prognosis of Tuberculosis. - Maicon Herverton Lino Ferreira da Silva Barros; Geovanne Oliveira Alves; Lubnnia Morais Florêncio Souza; Élisson da Silva Rocha; João Fausto Lorenzato de Oliveira; Theo Lynn; Vanderson de Souza Sampaio; Patricia Takako Endo (Informatics, 2021)

Aggregating data center measurements for availability analysis. - Élisson da Silva Rocha; Leylane Silva; Guto Leoni Santos; Diego de Freitas Bezerra; André L. C. Moreira; Glauco Estácio Gonçalves; Maria Valéria Marquezini; Amardeep Mehta; Mattias Wildeman; Judith Kelner; Djamel Sadok; Patricia Takako Endo (Softw. Pract. Exp., 2021)

Optimizing NFV placement for distributing micro-data centers in cellular networks. - Diego de Freitas Bezerra; Guto Leoni Santos; Glauco Estácio Gonçalves; André L. C. Moreira; Leylane Graziele Ferreira da Silva; Élisson da Silva Rocha; Maria Valéria Marquezini; Judith Kelner; Djamel Sadok; Amardeep Mehta; Mattias Wildeman; Patricia Takako Endo (J. Supercomput., 2021)

Service Function Chain Placement in Distributed Scenarios: A Systematic Review. - Guto Leoni Santos; Diego de Freitas Bezerra; Élisson da Silva Rocha; Leylane Ferreira; André Luis Cavalcanti Moreira; Glauco Estácio Gonçalves; Maria Valéria Marquezini; Ákos Recse; Amardeep Mehta; Judith Kelner; Djamel Sadok; Patricia Takako Endo (J. Netw. Syst. Manag., 2022)

On usage of artificial intelligence for predicting mortality during and post-pregnancy: a systematic review of literature. - Élisson da Silva Rocha; Flávio Leandro de Morais Melo; Maria Eduarda Ferro de Mello; Barbara Figueiroa; Vanderson de Souza Sampaio; Patricia Takako Endo (BMC Medical Informatics Decis. Mak., 2022)

Optimized Pallet Localization Using RGB-D Camera and Deep Learning Models. - Élisson da Silva Rocha; Sérgio F. Chevtchenko; Lucas F. S. Cambuim; Rafael M. Macieira (ICCP, 2023)

Anomaly Detection in Industrial Machinery Using IoT Devices and Machine Learning: A Systematic Mapping. - Sérgio F. Chevtchenko; Élisson da Silva Rocha; Monalisa Cristina Moura dos Santos; Ricardo Lins Mota; Diego Moura Vieira; Ermeson Carneiro de Andrade; Danilo Ricardo Barbosa de Araújo (IEEE Access, 2023)

A Mapping Study of Machine Learning Methods for Remaining Useful Life Estimation of Lead-Acid Batteries. - Sérgio F. Chevtchenko; Élisson da Silva Rocha; Bruna V. Cruz; Ermeson Carneiro de Andrade; Danilo Ricardo Barbosa de Araújo (CoRR, 2023)

Predictive Maintenance Model Based on Anomaly Detection in Induction Motors: A Machine Learning Approach Using Real-Time IoT Data. - Sérgio F. Chevtchenko; Monalisa Cristina Moura dos Santos; Diego Moura Vieira; Ricardo Lins Mota; Élisson Rocha; Bruna V. Cruz; Danilo Araújo; Ermeson Carneiro de Andrade (CoRR, 2023)

Multi-objective Service Function Chain placement in 5G cellular networks based on meta-heuristic approach. - Diego de Freitas Bezerra; Guto Leoni Santos; Élisson da Silva Rocha; André L. C. Moreira; Djamel Fawzi Hadj Sadok; Judith Kelner; Glauco Estácio Gonçalves; Amardeep Mehta; Maria Valéria Marquezini; Patricia Takako Endo (Simul. Model. Pract. Theory, 2024)

A cluster-based solution for service function chain allocation in large-scale infrastructure. - Diego de Freitas Bezerra; Élisson da Silva Rocha; Guto Leoni Santos; André Luis Cavalcanti Moreira; Judith Kelner; Djamel Fawzi Hadj Sadok; Glauco Estácio Gonçalves; Maria Valéria Marquezini; Patricia Takako Endo (J. Supercomput., 2025)