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TÍTULO: Deep learning networks for olive cultivar identification: A comprehensive analysis of convolutional neural networks
AUTORES: Mendes, Joao; Lima, Jose ; Costa, Lino ; Rodrigues, Nuno; Pereira, Ana I. ;
PUBLICAÇÃO: 2024, FONTE: SMART AGRICULTURAL TECHNOLOGY, VOLUME: 8
INDEXADO EM: Scopus WOS CrossRef: 1
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TÍTULO: Inspection Planning Improvement Framework Based on the PDCA Cycle
AUTORES: Reis, Angelica Muffato; Costa, Lino ; Sousa, Sergio ;
PUBLICAÇÃO: 2024, FONTE: 43rd IFIP WG 5.7 International Conference on Advances in Production Management Systems (APMS) in ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS-PRODUCTION MANAGEMENT SYSTEMS FOR VOLATILE, UNCERTAIN, COMPLEX, AND AMBIGUOUS ENVIRONMENTS, APMS 2024, PT III, VOLUME: 730
INDEXADO EM: Scopus WOS CrossRef
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TÍTULO: Multi-objective Scheduling Optimization in Job Shop with Unrelated Parallel Machines Using NSGA-III
AUTORES: dos Santos, Francisco ; Costa, Lino ; Varela, Leonilde ;
PUBLICAÇÃO: 2024, FONTE: 24th International Conference on Computational Science and Its Applications (ICCSA) in COMPUTATIONAL SCIENCE AND ITS APPLICATIONS-ICCSA 2024 WORKSHOPS, PT II, VOLUME: 14816
INDEXADO EM: Scopus WOS CrossRef
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TÍTULO: Optimizing Olive Disease Classification Through Hybrid Machine Learning and Deep Learning Techniques
AUTORES: Mendes, Joao; Moso, Juliet; Berger, Guido S.; Lima, Jose ; Costa, Lino ; Guessoum, Zahia; Pereira, Ana I. ;
PUBLICAÇÃO: 2024, FONTE: 4th International Conference on Optimization Learning Algorithms and Applications in OPTIMIZATION, LEARNING ALGORITHMS AND APPLICATIONS, OL2A 2024, PT I, VOLUME: 2280
INDEXADO EM: Scopus WOS CrossRef
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TÍTULO: Performance Comparison of NSGA-II and NSGA-III on Bi-objective Job Shop Scheduling Problems
AUTORES: dos Santos, Francisco; Costa, Lino A. ; Varela, Leonilde ;
PUBLICAÇÃO: 2024, FONTE: 3rd International Conference on Optimization, Learning Algorithms and Applications (OL2A) in OPTIMIZATION, LEARNING ALGORITHMS AND APPLICATIONS, PT I, OL2A 2023, VOLUME: 1981
INDEXADO EM: Scopus WOS CrossRef: 1
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TÍTULO: Pest Management in Olive Cultivation Through Computer Vision: A Comparative Study of Detection Methods for Yellow Sticky Traps
AUTORES: Mendes, Joao; Berger, Guido S.; Lima, Jose ; Costa, Lino ; Pereira, Ana I.;
PUBLICAÇÃO: 2024, FONTE: 6th Iberian Robotics Conference (Robot) in ROBOT 2023: SIXTH IBERIAN ROBOTICS CONFERENCE, VOL 2, VOLUME: 978
INDEXADO EM: Scopus WOS CrossRef
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TÍTULO: Quality costs and Industry 4.0: inspection strategy modelling and reviewing
AUTORES: Reis, Angelica Muffato; Dall Orsoletta, Alaize; Nunes, Eusebio; Costa, Lino ; Sousa, Sergio ;
PUBLICAÇÃO: 2024, FONTE: INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
INDEXADO EM: Scopus WOS CrossRef
19
TÍTULO: Resource Dispatch Optimization for Firefighting Using a Differential Evolution Algorithm
AUTORES: Matos, Marina A.; Goncalves, Rui; Rocha, Ana Maria A. C. ; Costa, Lino A. ; Alvelos, Filipe;
PUBLICAÇÃO: 2024, FONTE: 3rd International Conference on Optimization, Learning Algorithms and Applications (OL2A) in OPTIMIZATION, LEARNING ALGORITHMS AND APPLICATIONS, PT I, OL2A 2023, VOLUME: 1981
INDEXADO EM: Scopus WOS CrossRef: 1
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TÍTULO: Transferable Skills Development through Project-Based Learning in an Industrial Engineering and Management Degree
AUTORES: Violeta Carvalho; Cristina S Rodrigues; S F C F Teixeira ; Ângela Silva ; Rui M Sousa; Lino Costa ; Anabela Alves; Carina Pimentel;
PUBLICAÇÃO: 2024, FONTE: International Symposium on Project Approaches in Engineering Education, VOLUME: 14
INDEXADO EM: Scopus
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