织物投稿期刊调研--20220103

1.期刊调研

老师推荐：7 8 11 13

1. IEEE Transactions on Instrumentation and Measurement
2. Neurocomputing
3. IEEE Transactions on Automation Science and Engineering

4. Textile Research Journal
1-3个月 1.820 录用比例50% 工程技术纺织4区

5. The Journal of The Textile Institute
   3-7个月
6. JOURNAL OF ELECTRONIC IMAGING
   4个月

7. JOURNAL OF ENGINEERED FIBERS AND FABRICS（重视）
工程技术3区
影响因子：1.573
平均1个月

小木虫（平均4个月）

3. 织物故障检测论文
[1] Jing J, Zhuo D, Zhang H, et al. Fabric defect detection using the improved YOLOv3 model[J]. Journal of Engineered Fibers and Fabrics, 2020, 15: 1558925020908268.
[2] Xiang Z, Zhou D, Qian M, et al. Repeat pattern segmentation of print fabric based on adaptive template matching[J]. Journal of Engineered Fibers and Fabrics, 2020, 15: 1558925020973285.
[3] Seçkin M, Seçkin A Ç, Coşkun A. Production fault simulation and forecasting from time series data with machine learning in glove textile industry[J]. Journal of Engineered Fibers and Fabrics, 2019, 14: 1558925019883462.

8. JOURNAL OF NATURAL FIBERS
   工程技术3区，纺织2区
   大于3个月
   影响因子：5.323

9. IEEE INTERNET OF THINGS JOURNAL

10. IET IMAGE PROCESSING
    11. COLORATION TECHNOLOGY
    工程技术纺织3区
    1.614
    3个月

11. information sciences

12. JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH
    4-8周 0.387

13. NEURAL COMPUTING & APPLICATIONS
    9个月 50%录用比例

14. KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
    4.3个月

16. INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY
0.969
12个月

17. FIBRES & TEXTILES IN EASTERN EUROPE
24个月

18. INDIAN JOURNAL OF FIBRE & TEXTILE RESEARCH
0.655
6-12周

2.论文的目录

2.1

Introduction
Materials and methods

• 生产模拟和数据集属性
• ML 概念和时间序列
• 回归算法

Results and discussion

• Simulation results
• 故障预测量

Conclusion
Acknowledgements
Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with
respect to the research, authorship, and/or publication of this
article.

Funding(基金)
ORCID iDs
Supplemental material

Supplemental material for this article is available online.

2.2

Introduction
Pattern segmentation

• Adaptive dynamic template image selection
• Template matching
• Pattern primitive size detection
• Pattern primitive segmentation based on minimum information loss

Experiments and discussion

• Tilted pattern segmentation
• Rotation invariance
• Scaling invariance
• Influence of foreground or background color
• Comparison experiments

Conclusion
Acknowledgements
Declaration of conflicting interests
Funding
ORCID iDs
References

2.3

Introduction
YOLOv3 network

• Feature extraction

Proposed network model

• Prior frame determined
• Network optimization

Results and analysis

• Experimental environment and data
• Network training
• Network testing

Conclusion

• Declaration of conflicting interests
• Funding
• ORCID iD
• References