Distributed Computing and Artificial Intelligence, Special Sessions III - Intelligent Systems Applications, 21st International Conference / / edited by Francisco Zayas-Gato, Antonio Díaz-Longueira, José-Luis Casteleiro-Roca, Esteban Jove
| Distributed Computing and Artificial Intelligence, Special Sessions III - Intelligent Systems Applications, 21st International Conference / / edited by Francisco Zayas-Gato, Antonio Díaz-Longueira, José-Luis Casteleiro-Roca, Esteban Jove |
| Autore | Zayas-Gato Francisco |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (105 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
Díaz-LongueiraAntonio
Casteleiro-RocaJosé-Luis JoveEsteban |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN |
9783031739101
9783031739095 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- 1 A machine learning - based system for determining water potability. -- 2 Energy forecasting using intelligent models. -- 3 A deep learning-based OCR system implementation for traceability ensurement in a metal manufacturing workshop. -- 4 Dimensional reduction techniques for the characterization of behavioral patterns in dairy cows. -- 5 Geothermal heat exchanger's temperature input sensor prediction based on deep learning modelling technique. -- 6 A hybrid intelligence model forecasts the temperature of a battery used in electric vehicles. -- 7 A comparative analysis of algorithms and metrics to perform clustering. -- 8 Wind speed virtual sensor for small wind turbine. -- 9 Reconstructing turbulence-distorted wavefronts through laser-beam profiles. |
| Record Nr. | UNINA-9910908374903321 |
Zayas-Gato Francisco
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Distributed Computing and Artificial Intelligence, Special Sessions III, 22nd International Conference / / edited by Esteban Jove Pérez, Francisco Zayas-Gato, Antonio Díaz-Longueira, José-Luis Casteleiro-Roca
| Distributed Computing and Artificial Intelligence, Special Sessions III, 22nd International Conference / / edited by Esteban Jove Pérez, Francisco Zayas-Gato, Antonio Díaz-Longueira, José-Luis Casteleiro-Roca |
| Autore | Jove Pérez Esteban |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (136 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
Zayas-GatoFrancisco
Díaz-LongueiraAntonio Casteleiro-RocaJosé-Luis |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-032-05504-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Application of AI Models for Predicting Level in Sewerage Networks: A Case Study of a Wastewater Pumping Station -- Detection of occupational diseases using a semi-supervised approach -- Comparative performance analysis for modelling photovoltaic solar panels including their temperature -- Friction Stir Welding of Aluminum Alloys Defect Detection based on Convolutional Autoencoders -- Security in Constrained Application Protocol Networks: Evaluating Supervised Classification Techniques for DoS Attack Detection -- Predicting hydrogen consumption in a fuel cell using intelligent techniques -- Prediction of Titanium Dioxide (TiO₂) Concentration Using Machine Learning and Spectral Analysis -- Monitoring the Dynamics of Water Consumption from Time Series Using Machine Learning Techniques. |
| Record Nr. | UNINA-9911049163703321 |
Jove Pérez Esteban
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||