Bruno Mota

12 papers Journal 5Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Machine overstrain prediction for early detection and effective maintenance: A machine learning algorithm comparison.
Log. J. IGPL
Bruno Mota, Pedro Faria, Carlos Ramos
2025 J jnl
Review of manufacturing integration between production, maintenance and quality artificial intelligence systems.
J. Ind. Inf. Integr.
Bruno Mota, Pedro Faria, Carlos Ramos, Zita Vale
2024 — conf
Automated Machine Learning and Explainable Artificial Intelligence in Predictive Maintenance: An MLJAR Framework Review.
DCAI (1)
Bruno Mota, Pedro Faria, Carlos Ramos
2024 — conf
Explainable Artificial Intelligence Applied to Predictive Maintenance: Comparison of Post-Hoc Explainability Techniques.
xAI (4)
Bruno Mota, Pedro Faria, Juan M. Corchado, Carlos Ramos
2024 — conf
Learning-Based Models for Intelligent Control Over Air Conditioning Units in a Smart Building.
SOCO (1)
Bruno Ribeiro, Rafael Silva, Bruno Mota, Luis Gomes, Zita Vale
2024 — conf
Production Scheduling for Energy Cost Optimization with Constraints: Comparison of Genetic Algorithm and PSO Techniques.
SOCO (1)
Bruno Mota, Pedro Faria, Carlos Ramos
2023 J jnl
Joint Production and Maintenance Scheduling for Total Cost and Machine Overload Reduction in Manufacturing: A Genetic Algorithm Approach.
IEEE Access
Bruno Mota, Pedro Faria, Carlos Ramos
2023 — conf
Machine Learning Applied to Industrial Machines for an Efficient Maintenance Strategy: A Predictive Maintenance Approach.
EI.A
Bruno Mota, Pedro Faria, Carlos Ramos
2023 — conf
Production Scheduling for Total Energy Cost and Machine Longevity Optimization Through a Genetic Algorithm.
EPIA (2)
Bruno Mota, Daniel Ramos, Pedro Faria, Carlos Ramos
2022 J jnl
Demand Response Driven by Distribution Network Voltage Limit Violation: A Genetic Algorithm Approach for Load Shifting.
IEEE Access
Bruno Canizes, Bruno Mota, Pedro Ribeiro, Zita A. Vale
2022 — conf
Predictive Maintenance for Maintenance-Effective Manufacturing Using Machine Learning Approaches.
SOCO
Bruno Mota, Pedro Faria, Carlos Ramos
2021 J jnl
Climatization and luminosity optimization of buildings using genetic algorithm, random forest, and regression models.
Energy Inform.
Bruno Mota, Miguel Albergaria, Helder Pereira, José Silva, Luis Gomes, Zita A. Vale, Carlos Ramos