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Bruno Mota

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Researcher

Polytechnic Institute of Porto

Portugal

Research Interests

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Professors in Portugal Professors in Artificial Intelligence Artificial Intelligence professors in Portugal

Recent Grants

Grant: Close

Towards Efficient and Fast-paced Manufacturing Production Lines by applying Automated Machine Learning Models with Explainable Artificial Intelligence for Knowledge Transfer

Open Date: 2024-03-01

Close Date:

Grant: Close

PRODUTECH R3 - Recuperação-Resiliência-Reindustrialização

Open Date: 2023-07-12

Close Date: 2024-02-29

Grant: Close

Muwo - Multi-method workspace for highly scalable production lines

Open Date: 2021-08-02

Close Date:

Grant: Close

GECAD-PES_2020-01

Open Date: 2020-12-15

Close Date: 2021-07-31

Grant: Close

SPEAR - Smart Prognosis of Energy with Allocation of Resources

Open Date: 2020-02-03

Close Date: 2020-08-30

Articles (13)

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2026

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

Year:

2023

Collaborators (5)

Fernando Lezama

Senior Researcher

Polytechnic Institute of Porto

PORTUGAL

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Zita Vale

Prof. Dr

Polytechnic Institute of Porto

PORTUGAL

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Luis Gomes

Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvol

PORTUGAL

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João Soares

Instituto Politécnico de Leiria

PORTUGAL

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Carlos Ramos

Full Professor

Instituto Politécnico de Leiria

PORTUGAL

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Bruno Mota

Research Interests

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Recent Grants

Articles (13)

Automatic Configuration of Genetic Algorithm Parameters for Load Shifting of Household Appliances Through Iterated Racing

Review of manufacturing integration between production, maintenance and quality artificial intelligence systems

Automated Machine Learning and Explainable Artificial Intelligence in Predictive Maintenance: An MLJAR Framework Review

Energy cost optimization through load shifting in a photovoltaic energy-sharing household community

Explainable Artificial Intelligence Applied to Predictive Maintenance: Comparison of Post-Hoc Explainability Techniques

Learning-Based Models for Intelligent Control Over Air Conditioning Units in a Smart Building

Production Scheduling for Energy Cost Optimization with Constraints: Comparison of Genetic Algorithm and PSO Techniques

Machine Learning Applied to Industrial Machines for an Efficient Maintenance Strategy: A Predictive Maintenance Approach

Joint Production and Maintenance Scheduling for Total Cost and Machine Overload Reduction in Manufacturing: A Genetic Algorithm Approach

Production Line Energy Cost Optimization with Renewable Energy Resource Usage in a Flexible Job Shop Configuration

Production and Maintenance Scheduling for Total Cost and Machine Longevity Optimization

Joint Optimization of Production and Maintenance for Effective Manufacturing Using a Genetic Algorithm

Production Scheduling for Total Energy Cost and Machine Longevity Optimization Through a Genetic Algorithm

Collaborators (5)

Fernando Lezama

Zita Vale

Luis Gomes

João Soares

Carlos Ramos

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