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Paper Abstract and Keywords
Presentation 2026-06-22 14:50
An Experiment in Image Classification of Electronic Components Using Pre-training and Transfer Learning
Haruki Ideguchi, Qi Li, Tomonori Izumi (Ritsumeikan Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the increase in electronic waste has become a serious issue due to the widespread use of electronic devices, and efficient recycling technologies are strongly required. In particular, automatic identification and classification of electronic components are important for improving the efficiency of resource recovery. In this study, an image classification method for waste electronic components using deep learning was investigated. EfficientNet-B0 was adopted as the classification model, and both transfer learning and fine-tuning were applied. In addition, data augmentation and weighted sampling were introduced to address the class imbalance problem. Experimental results showed that fine-tuning achieved higher classification performance than transfer learning and enabled stable classification even under class-imbalanced conditions. These results indicate that the proposed method is effective for automatic classification of electronic waste and improving the efficiency of recycling processes.
Keyword (in Japanese) (See Japanese page) 
(in English) Electronic Waste / Deep Learning / Transfer Learning / Fine-Tuning / Data Augmentation / / /  
Reference Info. ITE Tech. Rep., vol. 50, pp. 6-9, June 2026.
Paper #  
Date of Issue 2026-06-15 (AIT) 
ISSN Online edition: ISSN 2424-1970
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Conference Information
Committee IIEEJ AIT  
Conference Date 2026-06-22 - 2026-06-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Waseda Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IIEEJ 
Conference Code 2026-06-IIEEJ-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Experiment in Image Classification of Electronic Components Using Pre-training and Transfer Learning 
Sub Title (in English)  
Keyword(1) Electronic Waste  
Keyword(2) Deep Learning  
Keyword(3) Transfer Learning  
Keyword(4) Fine-Tuning  
Keyword(5) Data Augmentation  
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Keyword(7)  
Keyword(8)  
1st Author's Name Haruki Ideguchi  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Qi Li  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
3rd Author's Name Tomonori Izumi  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
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Speaker Author-1 
Date Time 2026-06-22 14:50:00 
Presentation Time 20 minutes 
Registration for IIEEJ 
Paper # AIT2026-177 
Volume (vol) vol.50 
Number (no) no.18 
Page pp.6-9 
#Pages
Date of Issue 2026-06-15 (AIT) 


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