Application of optimized convolutional neural network to fixture layout in automotive parts
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource, 1 online resource.
- Language
-
Englisch
- Bibliographic citation
-
Application of optimized convolutional neural network to fixture layout in automotive parts ; volume:126 ; number:1-2 ; day:25 ; month:2 ; year:2023 ; pages:339-353 ; date:5.2023
The international journal of advanced manufacturing technology ; 126, Heft 1-2 (25.2.2023), 339-353, 5.2023
- Creator
-
Villena Toro, Javier
Wiberg, Anton
Tarkian, Mehdi
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s00170-023-10995-0
- URN
-
urn:nbn:de:101:1-2023082809342363723040
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:52 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Villena Toro, Javier
- Wiberg, Anton
- Tarkian, Mehdi
- SpringerLink (Online service)
Other Objects (12)
Optimized Safety Layouts for Fenceless Robots
Optimized Buffering of Time-Triggered Automotive Software
Do Semantic Parts Emerge in Convolutional Neural Networks?
Development of Thermoplastic Composites for Visible Parts in Automotive
Optimized Convolutional Forest by Particle Swarm Optimizer for Pothole Detection
Reinforcement learning based agents for improving layouts of automotive crash structures
Optimization of fixture locating layout design using comprehensive optimized machine learning
Quality monitoring in production of the parts in automotive industry
Classification of Iran Automotive and Parts Manufacturing stocks by DEA
Combine Dimensional Management and Manufacturing Process Simulation for Automotive Parts
Development of Fixture Layout Optimization for Thin-Walled Parts: A Review
Optimized Layouts of Borehole Thermal Energy Storage Systems in 4th Generation Grids
Optimized Safety Layouts for Fenceless Robots
Optimized Buffering of Time-Triggered Automotive Software
Do Semantic Parts Emerge in Convolutional Neural Networks?
Development of Thermoplastic Composites for Visible Parts in Automotive
Optimized Convolutional Forest by Particle Swarm Optimizer for Pothole Detection
Reinforcement learning based agents for improving layouts of automotive crash structures
Optimization of fixture locating layout design using comprehensive optimized machine learning
Quality monitoring in production of the parts in automotive industry
Classification of Iran Automotive and Parts Manufacturing stocks by DEA
Combine Dimensional Management and Manufacturing Process Simulation for Automotive Parts
Development of Fixture Layout Optimization for Thin-Walled Parts: A Review
Optimized Layouts of Borehole Thermal Energy Storage Systems in 4th Generation Grids
Optimized Safety Layouts for Fenceless Robots
Optimized Buffering of Time-Triggered Automotive Software
Do Semantic Parts Emerge in Convolutional Neural Networks?
Development of Thermoplastic Composites for Visible Parts in Automotive
Optimized Convolutional Forest by Particle Swarm Optimizer for Pothole Detection
Reinforcement learning based agents for improving layouts of automotive crash structures
Optimization of fixture locating layout design using comprehensive optimized machine learning
Quality monitoring in production of the parts in automotive industry
Classification of Iran Automotive and Parts Manufacturing stocks by DEA
Combine Dimensional Management and Manufacturing Process Simulation for Automotive Parts
Development of Fixture Layout Optimization for Thin-Walled Parts: A Review