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ORCIDOL2A 2024: Tenerife, Spain
- Ana I. Pereira
, Florbela P. Fernandes, João Paulo Coelho, João Paulo Teixeira, José Lima, Maria F. Pacheco, Rui Pedro Lopes, Santiago Torres Álvarez:
Optimization, Learning Algorithms and Applications - 4th International Conference, OL2A 2024, Tenerife, Spain, July 24-26, 2024, Proceedings, Part I. Communications in Computer and Information Science 2280, Springer 2024, ISBN 978-3-031-77425-6
Learning Algorithms in Engineering Education
- Chaima Messaoudi, Rebeca B. Kalbermatter, José Lima, Ana I. Pereira, Zahia Guessoum:
XAI Framework for Fall Detection in an AAL System. 3-18 - Guillermo Cabrera-Guerrero, Pablo A. Maya Duque, Isaac Fernandez, Maximiliano Beltran, Carolina Lagos:
A Clustering Algorithm to Improve Local Search's Performance for a Public Bicycle Sharing System. 19-32 - Ana Sofia Figueiredo Rodrigues, Júlio Castro Lopes, Rui Pedro Lopes:
Facial Expression Recognition in Virtual Reality Simulations. 33-48 - Pedro Leite Barros, Gil Gonçalves, Vítor H. Pinto:
Augmented Reality in Industrial Training: A Comparative Analysis of Teaching Methods. 49-64 - Beatriz Flamia Azevedo, Ana Maria A. C. Rocha, Florbela P. Fernandes, Maria F. Pacheco, Ana I. Pereira:
Comparison Between Single and Multi-objective Clustering Algorithms: MathE Case Study. 65-80
Machine Learning
- Ana Beatriz Miranda Valentin, Glaucia Maria Bressan, Elisângela Aparecida da Silva Lizzi, Fabrício Martins Lopes:
Learning Algorithms for Breast Cancer Classification and Diagnosis. 83-96 - Gabriel A. Leite, Beatriz Flamia Azevedo, Sofia Ribeiro Ferreira, Maria F. Pacheco, Florbela P. Fernandes, Ana I. Pereira:
Fuzzy c-Means as a Decision Support Tool for Liver Disease Diagnosis Based on Data Analysis. 97-111 - Luan C. Klein, João Mendes, João Braun, Felipe N. Martins, João Alberto Fabro, Paulo Gomes Costa, Ana I. Pereira, José Lima:
Optimization of Machine Learning Models Applied to Robot Localization in the RobotAtFactory 4.0 Competition. 112-125 - Elenice Weber Stiegelmeier, Glaucia Maria Bressan:
P-Fuzzy System Applied to Population Dynamics: A Case Study. 126-138 - Umair F. Siddiqi, Ka Chuen Cheng, Gary Gréwal, Shawki Areibi:
Enhancing K-Way Circuit Partitioning: A Deep Reinforcement Learning Methodology. 139-154
Deep Learning
- João Mendes, Juliet Moso, Guido S. Berger, José Lima, Lino A. Costa, Zahia Guessoum, Ana I. Pereira:
Optimizing Olive Disease Classification Through Hybrid Machine Learning and Deep Learning Techniques. 157-172 - Guilherme de M. Tonello, Maria João Varanda Pereira, Paulo Alves, André Roberto Ortoncelli:
A Neural Network-Based Approach to Identifying Wrinkles and Recommending Cosmetic Products. 173-188 - Sandro Luis de Araujo, Michel Hanzen Scheeren, Rubens Miguel Gomes Aguiar, Eduardo Mendes, Ricardo Augusto Pereira Franco, Pedro João Rodrigues, Pedro Luiz de Paula Filho:
Colorectal Polyp Segmentation: Impact of Combining Different Datasets on Deep Learning Model Performance. 189-204 - Gabriel Oliveira Pimentel, Augusto Luvisa Dessanti, João Paulo Teixeira:
A Comparative Analysis of MATLAB and Python Neural Networks for Diabetes Prediction. 205-220 - Wiam Salhi, Karim El Fakhouri, Mustapha El Bouhssini, Rafiq El Alami, Hafid Griguer:
Cochineal Colony Detection in Cactus Pear: A Deep Learning Approach. 221-232 - Gustavo Cohen, José Lima, Paulo Costa:
Enhancing Quadruped Robot Performance Through Gait Optimization. 233-247
Optimization in the SDG Context
- Bruna Barros, Helena Sofia Rodrigues, Ângela Silva:
Assessment of Logistics Performance Indicators in Southern European Countries Optimizing the Decision Making. 251-267 - Clara B. Vaz, Inês Sena, Ana Cristina Braga, Paulo Novais, Florbela P. Fernandes, José Lima, Ana I. Pereira:
Predicting Retail Store Transaction Patterns: A Comparison of ARIMA and Machine Learning Models. 268-283 - A. S. Silva, Guido S. Berger, João Mendes, Thadeu Brito, José Lima, Helder T. Gomes, Ana I. Pereira:
Route Optimization for Urban Last-Mile Delivery: Truck vs. Drone Performance. 284-299 - Koba Gelashvili:
Speeding up Line Search for Composite Objective Function with a Linear Inside Part. 300-312 - Daniel Botelho, M. Teresa Monteiro, Senhorinha Teixeira:
The Infodemic Issue: Numerical Modelling. 313-325 - Francisco dos Santos, Lino A. Costa, Leonilde Varela:
A Multi-objective Approach for Solving Distributed Job Shop Scheduling Problems. 326-339
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