DOIAbstract
published_or_final_versionIndustrial and Manufacturing Systems EngineeringDoctoralDoctor of Philosoph
published_or_final_versionIndustrial and Manufacturing Systems EngineeringDoctoralDoctor of Philosoph
The paper presents an automated method for the assessment and classification of puckering defects de...
The use of neural networks began to be applied because the traditional control charts used for monit...
Bu çalışmada buruşmazlık apresi uygulanmış pamuklu kumaşlarda kullanılan kimyasal maddenin ve işlem ...
An objective method of evaluating seam pucker in woven fabrics during garment manufacturing is studi...
Artificial neural networks may probably be the single most successful technology in the last two dec...
Bahlmann C, Heidemann G, Ritter H. Artificial Neural Networks for Automated Quality Control of Texti...
published_or_final_versionIndustrial and Manufacturing Systems EngineeringDoctoralDoctor of Philosop...
The purpose of the present study was to estimate dimensional measure properties of T-shirts made up ...
The competitiveness in the yarn production sector has led companies to search for solutions to attai...
In this paper, a novel classification rule extraction algorithm which has been recently proposed by ...
A new quantitative method to evaluate seam pucker with five shape parameters is proposed using three...
Article is devoted working out of the artificial neural network, capable to improve control and meas...
published_or_final_versionIndustrial and Manufacturing Systems EngineeringMasterMaster of Philosoph
SCOPUS eid=2-s2.0-20144384127 - Neural networks have recently received a great deal of attention in ...
Only a few quality control systems for moulded plastics products are based on the automatic online m...
The paper presents an automated method for the assessment and classification of puckering defects de...
The use of neural networks began to be applied because the traditional control charts used for monit...
Bu çalışmada buruşmazlık apresi uygulanmış pamuklu kumaşlarda kullanılan kimyasal maddenin ve işlem ...
An objective method of evaluating seam pucker in woven fabrics during garment manufacturing is studi...
Artificial neural networks may probably be the single most successful technology in the last two dec...
Bahlmann C, Heidemann G, Ritter H. Artificial Neural Networks for Automated Quality Control of Texti...
published_or_final_versionIndustrial and Manufacturing Systems EngineeringDoctoralDoctor of Philosop...
The purpose of the present study was to estimate dimensional measure properties of T-shirts made up ...
The competitiveness in the yarn production sector has led companies to search for solutions to attai...
In this paper, a novel classification rule extraction algorithm which has been recently proposed by ...
A new quantitative method to evaluate seam pucker with five shape parameters is proposed using three...
Article is devoted working out of the artificial neural network, capable to improve control and meas...
published_or_final_versionIndustrial and Manufacturing Systems EngineeringMasterMaster of Philosoph
SCOPUS eid=2-s2.0-20144384127 - Neural networks have recently received a great deal of attention in ...
Only a few quality control systems for moulded plastics products are based on the automatic online m...
The paper presents an automated method for the assessment and classification of puckering defects de...
The use of neural networks began to be applied because the traditional control charts used for monit...
Bu çalışmada buruşmazlık apresi uygulanmış pamuklu kumaşlarda kullanılan kimyasal maddenin ve işlem ...
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