Saulo Neves Matos

According to our database, Saulo Neves Matos authored at least 11 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Secure safety inspection in the mining industry: A blockchain-based multi-robot approach.

Rodrigo Dutra Garcia, Miguel Bragante Henriques, Saulo Neves Matos, Caetano Mazzoni Ranieri, André Luiz Maciel Cid, Gowri Sankar Ramachandran, Gustavo Pessin, Jó Ueyama

Peer Peer Netw. Appl., May, 2026

Ensuring reliable water level measurement for flooding: A redundancy-based approach with pressure transducer and computer vision.

Saulo Neves Matos, Arthur Lima Marques Rocha, Gabriel Montagni Domingues Filho, Caetano Mazzoni Ranieri, Rodrigo Dutra Garcia, Ana Clara de Oliveira Faria, Maria M. G. Medina, Jó Ueyama

Trans. Inst. Meas. Control, 2026

Data-driven soft sensor development for ore type estimation in mineral crushing processes.

Saulo Neves Matos, Thomás V. B. Pinto, Robson Aparecdo Duarte, Kaike S. Albuquerque, Alexandre G. Fonseca, Caetano Mazzoni Ranieri, Leandro Soriano Marcolino, Gustavo Pessin, Jó Ueyama

Eng. Appl. Artif. Intell., 2026

2025

Uncertainty Quantification in Measuring Ore Mass Flow Rate with Data-Driven Soft Sensors.

Francisco José Dos Santos Diniz, Saulo Neves Matos, Jó Ueyama, Leandro Soriano Marcolino, Eduardo José da Silva Luz, Gustavo Pessin

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

Segmentation-Augmented Flood Risk Classification for Nighttime River Monitoring.

Arthur Rocha, João Perino, Vinícius João de Barros Vanzin, Pedro Teodoro, Saulo Neves Matos, Dilvan A. Moreira, Caetano Mazzoni Ranieri, Jó Ueyama

Proceedings of the Intelligent Systems - 35th Brazilian Conference, 2025

2024

Cascade Proportional-Integral Control Design and Affordable Instrumentation System for Enhanced Performance of Electrolytic Dry Cells.

Saulo Neves Matos, Gemírson de Paula dos Reis, Elisângela M. Leal, Robson L. Figueiredo, Thiago Antonio M. Euzébio, Alan Kardek Rêgo Segundo

Sensors, August, 2024

Water level identification with laser sensors, inertial units, and machine learning.

Caetano Mazzoni Ranieri, Angelo V. K. Foletto, Rodrigo Dutra Garcia, Saulo Neves Matos, Maria M. G. Medina, Leandro Soriano Marcolino, Jó Ueyama

Eng. Appl. Artif. Intell., January, 2024

An Evaluation of Iron Ore Characteristics Through Machine Learning and 2-D LiDAR Technology.

Saulo Neves Matos, Thomás V. B. Pinto, Jacó Domingues, Caetano Mazzoni Ranieri, Kaike S. Albuquerque, Vinicius da Silva Moreira, Ernandes S. Souza, Jó Ueyama, Thiago Antonio M. Euzébio, Gustavo Pessin

IEEE Trans. Instrum. Meas., 2024

Closing the Loop: Enhancing Industrial Productivity Through Soft Sensor.

Paulo Pereira, Thomás V. B. Pinto, Saulo Neves Matos, Higor Barbosa, José Perez, Gustavo Pessin

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

Machine Learning Techniques for Improving Multiclass Anomaly Detection on Conveyor Belts.

Saulo Neves Matos, Otávio Ferracioli Coletti, Rafael Zimmer, Fernando Ugucioni Filho, Ricardo C. C. L. de Carvalho, Victor R. da Silva, Jorge Luiz Franco, Thomás V. B. Pinto, Luiz Guilherme Dias de Barros, Caetano Mazzoni Ranieri, Bruno Eduardo Lopes, Diego F. Silva, Jó Ueyama, Gustavo Pessin

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023

Evaluating Conveyor Belt Health With Signal Processing Applied to Inertial Sensing.

Saulo Neves Matos, Otávio Ferracioli Coletti, Fernando Ugucioni Filho, Ricardo C. C. L. de Carvalho, Thomás V. B. Pinto, Luiz Guilherme Dias de Barros, Caetano Mazzoni Ranieri, Bruno Eduardo Lopes, Jó Ueyama, Gustavo Pessin

Proceedings of the Symposium on Internet of Things, 2023