International Journal of Media and Networks(IJMN)

Department of artificial intelligence, Ireland

Publications

• Research Article   
  A Systematic Review of Enhancing CNN Performance in Automated Fabric Defect Detection Through Sampling Techniques for Imbalanced Datasets with the Developed CNN Model
  Author(s): Saima Saleem*, David Williams* and Satya Prakash
  
  In the textile industry, manual fabric inspection poses significant challenges. Incomplete and faulty inspections can compromise both product cost and quality. With the advancements in deep learning, various machine learning algorithms have emerged as successful tools for image classification and analysis tasks. Nevertheless, there are several persistent issues, including the complexity and time-consuming nature of training methods, the requirement for large datasets, and difficulties in achieving generalization. What's needed is an accurate and swift automatic machine learning algorithm suitable for real-time detection in industrial setups. To tackle these challenges, this research successfully developed a straightforward Convolutional Neural Network (CNN) machine learning algorithm. The algorithm's performance was evaluated on two different image sizes: 150 x 700, .. Read More»
  

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