Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Advances in Artificial Intelligence in Manufacturing : Proceedings of the 1st European Symposium on Artificial Intelligence in Manufacturing, September 19, 2023, Kaiserslautern, Germany / / edited by Achim Wagner, Kosmas Alexopoulos, Sotiris Makris
| Advances in Artificial Intelligence in Manufacturing : Proceedings of the 1st European Symposium on Artificial Intelligence in Manufacturing, September 19, 2023, Kaiserslautern, Germany / / edited by Achim Wagner, Kosmas Alexopoulos, Sotiris Makris |
| Autore | Wagner Achim |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (207 pages) |
| Disciplina | 629.8 |
| Altri autori (Persone) |
AlexopoulosKosmas
MakrisSotiris |
| Collana | Lecture Notes in Mechanical Engineering |
| Soggetto topico |
Automation
Industrial engineering Production engineering Human-machine systems Industrial and Production Engineering Human-Machine Interfaces Process Engineering |
| ISBN |
9783031574962
3031574966 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Organization -- Contents -- Artificial Intelligence at Manufacturing System Level -- An Integrated Active Learning Framework for the Deployment of Machine Learning Models for Defect Detection in Manufacturing Environments -- 1 Introduction -- 2 The Problem -- 2.1 Active Learning -- 2.2 Deployment -- 2.3 Monitoring -- 2.4 Explainability -- 3 Use Cases -- 3.1 Binary Classification -- 3.2 Multiclass Classification -- 3.3 Object Detection -- 4 Results -- 4.1 Binary Classification -- 4.2 Multiclass Classification -- 4.3 Object Detection -- 4.4 MLOps -- 5 Conclusions -- 6 Aknowlegments -- References -- Complex and Big Data Handling and Monitoring Through Machine Learning Towards Digital-Twin in High Precision Manufacturing -- 1 Introduction -- 2 Brief Overview of the State-of-the-Art -- 3 Real Case Studies -- 4 Proposed Methods -- 4.1 Low-Dimensional Learning for Machine Health Condition Monitoring -- 4.2 Recurrent NNs for Multi-stream Process Pattern Prediction |
| Record Nr. | UNINA-9910869168203321 |
Wagner Achim
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Artificial Intelligence in Manufacturing II : Proceedings of the 2nd European Symposium on Artificial Intelligence in Manufacturing, October 16, 2024, Athens, Greece / / edited by Kosmas Alexopoulos, Sotiris Makris, Panagiotis Stavropoulos
| Advances in Artificial Intelligence in Manufacturing II : Proceedings of the 2nd European Symposium on Artificial Intelligence in Manufacturing, October 16, 2024, Athens, Greece / / edited by Kosmas Alexopoulos, Sotiris Makris, Panagiotis Stavropoulos |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XVI, 288 p. 105 illus., 89 illus. in color.) |
| Disciplina | 629.8 |
| Collana | Lecture Notes in Mechanical Engineering |
| Soggetto topico |
Automatic control
Robotics Automation Industrial engineering Production engineering User interfaces (Computer systems) Human-computer interaction Control, Robotics, Automation Industrial and Production Engineering User Interfaces and Human Computer Interaction |
| ISBN | 3-031-86489-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Part I AI in Process Level -- 1 Digital Twins of manufacturing processes under Industry 5.0 -- 2 Recurrent Convolutional Neural Network based defect detection in Submerged Arc Welding processes -- 3 On the use of Generative AI to support in-line process monitoring in Zero-Defect Manufacturing -- 4 Laser Metal Deposition (LMD) process monitoring: from 3D visualization of sensor data towards anomaly detection -- 5 An explainable active learning approach for enhanced defect detection in manufacturing, etc. |
| Record Nr. | UNINA-9910988083803321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||