Industry 4.0, a term invented by Wolfgang Wahlster in Germany, is celebrating its 10th anniversary in 2021. Still, the digitalization of the production environment is one of the hottest topics in the computer science departments at universities and companies. Optimization of production processes or redefinition of the production concepts is meaningful in light of the current industrial and research agendas. Both the mentioned optimization and redefinition are considered in numerous subtopics and technologies. One of the most significant topics in these areas is the newest findings and applications of artificial intelligence (AI)—machine learning (ML) and deep convolutional neural networks (DCNNs). The authors invented a method and device th...
Increased customization and shortening product life cycles pose a challenge for automation, especial...
This extensive experimental research provides strong empirical proof of the revolutionary power of d...
The objective of this paper is to utilize deep learning technology to develop an intelligent digital...
The core of this thesis is the use of Artificial Intelligence for quality inspection purposes. The ...
Industry 4.0 is the new industrial revolution. By connecting every machine and activity through netw...
Theoretical models of manufacturing processes provide a valuable insight into physical phenomena but...
reservedSteel wire rods are a key product of the steel industry with multiple applications such as s...
The cost of a fabrication line such as one in a semiconductor house has increased dramatically over ...
Ensuring the highest quality standards at competitive prices is one of the greatest challenges in th...
Over the past few decades, intelligentization, supported by artificial intelligence (AI) technologie...
The rise and adaptation of the transformer architecture from natural language processing to visual t...
To compete in the current data-driven economy, it is essential that industrial manufacturers leverag...
The introduction of robots and automation in industrial processes brought many benefits to manufactu...
This paper presents a Convolutional Neural Network-based image classification approach for industry ...
Rapid and accurate industrial inspection to ensure the highest quality standards at a competitive pr...
Increased customization and shortening product life cycles pose a challenge for automation, especial...
This extensive experimental research provides strong empirical proof of the revolutionary power of d...
The objective of this paper is to utilize deep learning technology to develop an intelligent digital...
The core of this thesis is the use of Artificial Intelligence for quality inspection purposes. The ...
Industry 4.0 is the new industrial revolution. By connecting every machine and activity through netw...
Theoretical models of manufacturing processes provide a valuable insight into physical phenomena but...
reservedSteel wire rods are a key product of the steel industry with multiple applications such as s...
The cost of a fabrication line such as one in a semiconductor house has increased dramatically over ...
Ensuring the highest quality standards at competitive prices is one of the greatest challenges in th...
Over the past few decades, intelligentization, supported by artificial intelligence (AI) technologie...
The rise and adaptation of the transformer architecture from natural language processing to visual t...
To compete in the current data-driven economy, it is essential that industrial manufacturers leverag...
The introduction of robots and automation in industrial processes brought many benefits to manufactu...
This paper presents a Convolutional Neural Network-based image classification approach for industry ...
Rapid and accurate industrial inspection to ensure the highest quality standards at a competitive pr...
Increased customization and shortening product life cycles pose a challenge for automation, especial...
This extensive experimental research provides strong empirical proof of the revolutionary power of d...
The objective of this paper is to utilize deep learning technology to develop an intelligent digital...