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ORCIDDCAI 2024: Salamanca, Spain
- Ravikumar Chinthaginjala, Pawel Sitek, Nasro Min-Allah, Kenji Matsui, Sascha Ossowski, Sara Rodríguez:
Distributed Computing and Artificial Intelligence, 21st International Conference, DCAI 2024, Salamanca, Spain, 25-27 June 2024. Lecture Notes in Networks and Systems 1259, Springer 2025, ISBN 978-3-031-82072-4 - Pedro Uribe-Chavert
, Luis López-Cuerva, Juan-Luis Posadas-Yagüe, Jose-Luis Poza-Luján:
Adaptive Traffic Light Control Through Reinforcement Learning Based on Sensor Integration. 1-10 - Hiroyoshi Nagahama, Michifumi Yoshioka, Katsufumi Inoue, Masayoshi Todorokihara, Keishi Omori:
Improvement of Anomaly Detection Through Enhanced Feature Extraction in TimesNet. 11-20 - Ghazaleh Emadi, Ana Belén Gil-González:
An Explainable AI Framework for Comparative Analysis of the Model Explanations in Breast Cancer Prediction. 21-30 - Brigida Teixeira, Tiago Pinto, Zita Vale:
Enhancing Power Forecasting Through Contextual Awareness with C-Means and K-Means Approaches. 31-42 - Masashi Koizumi, Mieko Ohsuga, Juan Manuel Corchado:
Development and Assessment of a System to Help Students Improve Self-compassion. 43-52 - Safae Belamfedel Alaoui, Abdelatif Hafid, Mhamed Sayyouri, Mohamed Rahouti:
Leveraging Machine Learning and Deep Learning Models for Enhanced Stock Price Prediction: A State-of-the-Art Analysis. 53-64 - Roussanka Loukanova:
Type-Theory of Algorithms with Chain-Free Memory. 65-76 - Chandreyee Bhowmick, Xenofon D. Koutsoukos:
Resilient Peer-to-Peer Learning Based on Adaptive Aggregation. 77-87 - Muhammad Ibrar, Hayla Nahom Abishu, Abegaz Mohammed Seid, Sergio Márquez Sánchez, Javier Hernandez Fernandez, Juan Manuel Corchado, Aiman Erbad:
An Explainable AI-Based Demand Response Optimization Framework for Smart Buildings. 88-98 - Rafael Marin Machado de Souza, Andrew Holm, Marcio Biczyk, Leandro Nunes de Castro:
Healthchain - Bidimensional Blockchain for Collaborative and Secure Deep Learning in Healthcare. 99-108 - Bruno C. S. Lima, Ismar S. Frango, Leandro N. de Castro:
An Ant Colony Optimization Approach to Optimize Biblical Sermons. 109-118 - Andrei Olaru, Alexandru Sorici, Mihai Nan, David-Traian Iancu:
AI Folk: Sharing Machine Learning Models in a Multi-Agent Community. 119-128 - Heba Alawneh, Hamza Alkofahi, David A. Umphress:
Android Malware Detection: Leveraging Deep Learning with Process Control Block Information. 129-138 - Pablo Negre, Ricardo S. Alonso, Javier Prieto, Paulo Novais:
Integrating Pretrained VGG19 and Bi-LSTM for Violence Detection in Video. 139-149 - Bruno Mota, Pedro Faria, Carlos Ramos:
Automated Machine Learning and Explainable Artificial Intelligence in Predictive Maintenance: An MLJAR Framework Review. 150-159 - Tiago Dias, Eva Maia, Isabel Praça:
FuzzTheREST: An Intelligent Automated Black-Box RESTful API Fuzzer. 160-169 - Rita Xavier, John Peller, Leandro Nunes de Castro:
TRUNC: A Transfer Learning Unsupervised Network for Data Clustering. 170-180 - Mariana Fernandes, Hugo Peixoto, José Machado:
An Architectural Proposal for Injury Assessment in Occupational Medicine. 181-190 - Julia García Cabello, S. Carbó-García:
Dynamic Programming for Training DNN in Distributed Computing. 191-200 - Carlos Alberto Peláez, Andrés Solano, Juan M. Núñez V., David Alejandro Castro Benavides, Juan J. Cardona, Juan S. Duque, Juan C. Espinosa, Ana S. Montaño, Fernando De la Prieta:
Designing User Experience in the Context of Human-Centered AI and Generative Artificial Intelligence: A Systematic Review. 201-209 - Lautaro Rossi Labianca, Jaime Álvarez Urueña, Javier Curto Hernández, Raúl García Serrada:
Bird Detection and Recognition Systems Through Machine Learning and Artificial Intelligent: Advancements and Future Opportunities. 210-219 - Lucia Arnau Muñoz, José Vicente Berná-Martínez, Carlos Calatayud Asensi, Iren Lorenzo-Fonseca:
Dynamic FOG Computing for the Efficient Management of IoT Infrastructures. 220-229 - Eduardo Puraivan, Connie Cofré-Morales, Miguel Rodríguez, Tamara Lasnibat-Godoy, Juan Tapia, Carlos Hervás-Gómez, María Dolores Díaz-Noguera:
ChatGPT and Semiotic Representation Theory: Innovating the Measurement of Cognitive Demand in Mathematical Tasks. 230-240 - Sergio Figueroa-Cardona, Carlos E. Robles-Rodríguez, Rim El-Jeni, Luc Fillaudeau, César Arturo Aceves-Lara:
Dynamic Hybrid Model for Biopesticides Production Using Bacillus Thuringiensis Strains. 241-249 - Matheus A. Ferraria, Pedro Paulo Balbi, Leandro Nunes de Castro:
An Analysis of Different Text Representation Schemes for an Immune Clustering Algorithm. 250-260 - Saifeldin Hassan, Zainab Khan, Abhilasha Singh, Jinane Mounsef, Omar Abdul Latif:
AI-Powered Crop Monitoring for Precision Agriculture. 261-270 - Juan C. Acosta-Pavas, David Camilo Corrales, Irene Martínez-Menéndez, Susana María Alonso Villela, Balkiss Bouhaouala-Zahar, Georgios K. Georgakilas, Konstantinos Mexis, Stefanos Xenios, Theodore Dalamagas, Antonis Kokosis, Michael O'donohue, Luc Fillaudeau, César Arturo Aceves-Lara:
A Soft Sensing Approach for Efficient Monitoring of Nanobody-Based Scorpion Antivenom Production. 271-281 - Carlos Calatayud Asensi, José Vicente Berná-Martínez, Lucia Arnau Muñoz, Iren Lorenzo-Fonseca:
System for the Efficient Management of Drinking Water Infrastructures Using Artificial Intelligence-Based Optimisation Algorithms. 282-291 - Hugo Gomes, João Ferreira, Manuel Rodrigues:
Insights into Quantitative Evaluation Techniques for AI Explainability. 292-306 - Irene Martínez-Menéndez, Juan C. Acosta-Pavas, David Camilo Corrales, Susana María Alonso Villela, Balkiss Bouhaouala-Zahar, Georgios K. Georgakilas, Konstantinos Mexis, Stefanos Xenios, Theodore Dalamagas, Antonis Kokosis, Michael O'donohue, Luc Fillaudeau, Nadia Boukhelifa, Alberto Tonda, César Arturo Aceves-Lara:
Comparison of Machine Learning-Enhanced Dynamic Hybrid Models for a Nanobody Scorpion Antivenom Production with Escherichia Coli. 307-316 - Mitsuhiko Yasukura, Michifumi Yoshioka, Katsufumi Inoue:
Computational Cost Reduction for MobileViT with Token Merging. 317-326 - Bárbara Teixeira, Orlando Belo:
Clues for Improving Database Systems Quality-of-Service - A Process Mining Approach. 327-336 - Jesús García-Martínez, Sara Carrasco-Martínez, Sofía Álvarez Arias, Guillermo A. Arrojo, José C. Castillo, Fernando Alonso-Martín, Álvaro Castro González:
A Gamified Multi Agent Robot System for Physical Stimulation. 337-345 - Daniel Ramos, Pedro Faria, Zita Vale:
Decision System in a Building to Coordinate the Energy Forecasting Tasks. 346-355 - Ander García, Javier Tardos, Juan Luis Ferrando, Daniel Aguinaga, David Perez, Leire Estanga:
Embedded AI and TinyML: A Practical Analysis of Workflows and Libraries. 356-365
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