Article Retracted: Research on Visualization of Large-scale User Association Feature Data Based on Nonlinear Dimension Reduction Method

Authors

  • Yuchen Xie Department of Information Engineering, Jiangxi University of Technology, Nanchang Jiangxi, 330098, China
  • Shehab Mohamed Beram Sunway University, School of Engineering and Technology, Kuala Lumpur, Malaysia
  • Baljinder Kaur School of Computer Science and Engineering, Lovely Professional University. Phagwara, Punjab, India
  • Rahul Neware Department of Computing, Mathematics and Physics, Høgskulen på Vestlandet, Bergen Norway
  • Manik Rakhra School of Computer Science and Engineering, Lovely Professional University. Phagwara, Punjab, India
  • Deepika Koundal UPES-University of Petroleum and Energy Studies, Dehradun, India

DOI:

https://doi.org/10.13052/jmm1550-4646.19211

Keywords:

Dimension reduction method, characteristic data, Visualization, T-SNE algorithm, MNIST data set

Abstract

The Editor-in-Chief and the publisher have retracted this article. The article was submitted to be part of a guest-edited issue on Neural Networks for Intelligent Multimedia Signal Processing and Analysis. An investigation by the publisher found a number of concerns, including but not limited to incorrect affiliations being used, compromised editorial handling and peer review process and inappropriate or irrelevant references. Based on the investigation's findings the Editor-in-Chief therefore no longer has confidence in the results and conclusions of this article.

 

Author Yuchen Xie has not explicitly stated whether they agree or disagree with this retraction notice. Author Yuchen Xie has not responded to correspondence regarding this retraction.

Downloads

Download data is not yet available.

Author Biographies

Yuchen Xie, Department of Information Engineering, Jiangxi University of Technology, Nanchang Jiangxi, 330098, China

Yuchen Xie, born in August 1983, female, master student, senior engineer, university lecturer. She is now working at Jiangxi University of Science and Technology. Her research interests include communication system and higher education.

Shehab Mohamed Beram, Sunway University, School of Engineering and Technology, Kuala Lumpur, Malaysia

Shehab Mohamed Beram is a fresh software engineering graduate who has spent the last two years building digital products and researching topics related to Machine Learning, Human-centered design, and Human-AI interaction. Shehab was involved in different machine learning projects and he was mainly interested in studying the industrial aspects of the projects. He has worked with different Malaysian companies as a software engineering intern and with different labs as a machine learning researcher. He is currently a digital product manager at Taker implementing their AI-driven marketing automation tool and a part-time machine learning researcher at HUMAC lab. He has published three research papers as an undergraduate and he is an active member of ACM, IEEE, and IEEE computer society.

Baljinder Kaur, School of Computer Science and Engineering, Lovely Professional University. Phagwara, Punjab, India

Baljinder Kaur has completed here M.tech from Thapar University, Patiala. She is working as Assistant Professor in the Department of Computer Science and Engineering in Lovely Professional University. She is pursuing Ph.D Under the supervision of Dr. Manik Rakhra. Her area of interest is Machine Learning, Database Management, Software Engineering. She has also published a paper in the Scopus conference.

Rahul Neware, Department of Computing, Mathematics and Physics, Høgskulen på Vestlandet, Bergen Norway

Rahul Neware received the B.E. degree in Information Technology from the RTM Nagpur University India, in 2015, and the M.Tech. degree in Computer Science and Engineering from G. H. Raisoni College of Engineering Nagpur India, in 2018. He is currently pursuing a Ph.D. degree in Computing from Western Norway University of Applied Sciences, Bergen campus, Norway. His area of interest includes Cybersecurity, Systems of Systems, Cloud and Fog Computing, Advanced Image Processing, Remote Sensing. He is a member of various professional bodies like IEEE, ASR, CSI, IAENG, Internet Society.

Manik Rakhra, School of Computer Science and Engineering, Lovely Professional University. Phagwara, Punjab, India

Manik Rakhra has completed his Ph.D. from Lovely Professional University. He is also working as an Assistant Professor in the Department of Computer Science and Engineering. His area of interest is Machine Learning, Agriculture, Software Engineering, and Deep Learning. He is an active researcher in his field. He is invited to different international countries to present his research. He has 30 publications in the international and national reputed Journals and conferences. He has also guided 3 Postgraduate students in the M.tech dissertation. He is also supervising 5 students for his doctorate degree. He is also invited to the USA for an invited talk on smart agriculture. He was also appointed as a reviver in many international journals and conferences. He is performing so many academic tasks for different colleges.

Deepika Koundal, UPES-University of Petroleum and Energy Studies, Dehradun, India

Deepika Koundal is currently associated with University of Petroleum and Energy Studies, Dehradun. She received the recognition and honorary membership from Neutrosophic Science Association from University of Mexico, USA. She is also selected as a Young scientist in 6th BRICS Conclave in 2021. She received the Master and Ph.D. degrees in computer science & engineering from the Panjab University, Chandigarh in 2015. She received the B. Tech. degree in computer science & engineering from Kurkushetra University, India. She is the awardee of research excellence award given by Chitkara University in 2019. She has published more than 40 research articles in reputed SCI and Scopus indexed journals, conferences and two books. She is currently a guest editor in Computers & Electrical Engineering, Internet of Things Journals and IEEE Transaction of Industrial Informatics, Computational and Mathematical Methods in Medicine. She is also serving as Associate Editor in IET Image Processing and International Journal of Computer Applications. She also has served on many technical program committees as well as organizing committees and invited to give guest lectures and tutorials in Faculty development programs, international conferences and summer schools. Her Areas of Interest are Artificial Intelligence, Biomedical Imaging and Signals, Image Processing, Soft Computing, Machine Learning/Deep Learning. She has also served as reviewer in many repudiated journals of IEEE, Springer, Elsevier, IET, Hindawi, Wiley and Sage.

References

Zhang, D., Tang, R., Tang, B.-H., Wu, H., & Li, Z.-L. (2015). A Simple Method for Soil Moisture Determination From LST–VI Feature Space Using Nonlinear Interpolation Based on Thermal Infrared Remotely Sensed Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(2), 638–648. https://doi.org/10.1109/jstars.2014.2371135.

Li, J., Ying, Y., & Ji, C. (2019). Study on Gas Turbine Gas-Path Fault Diagnosis Method Based on Quadratic Entropy Feature Extraction. IEEE Access, 7, 89118–89127. https://doi.org/10.1109/access.2019.2927306.

Jairath, K., Singh, N., Jagota, V., & Shabaz, M. (2021). Compact Ultrawide Band Metamaterial-Inspired Split Ring Resonator Structure Loaded Band Notched Antenna. Mathematical Problems in Engineering, 2021, 1–12. https://doi.org/10.1155/2021/5174455.

Zagayevskiy, Y., & Deutsch, C. V. (2014). A Methodology for Sensitivity Analysis Based on Regression: Applications to Handle Uncertainty in Natural Resources Characterization. Natural Resources Research, 24(3), 239–274. https://doi.org/10.1007/s11053-014-9241-0.

Chen, L., Jagota, V., & Kumar, A. (2021). Research on optimization of scientific research performance management based on BP neural network. International Journal of System Assurance Engineering and Management. https://doi.org/10.1007/s13198-021-01263-z.

Gisbrecht, A., & Hammer, B. (2015). Data visualization by nonlinear dimensionality reduction. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 5(2), 51–73.

Chechetkin, V. R., & Lobzin, V. V. (2020). Detection of Large-Scale Noisy Multi-Periodic Patterns with Discrete Double Fourier Transform. II. Study of Correlations Between Patterns. Fluctuation and Noise Letters, 20(01), 2150003. https://doi.org/10.1142/s0219477521500036.

Yao Q., Shabaz M., Lohani T.K., Wasim Bhatt M., Panesar G.S. and Singh R.K., “3D modelling and visualization for Vision-based Vibration Signal Processing and Measurement”, Journal of Intelligent Systems, vol. 30, no. 1, 2021, pp. 541–553.

Lee, A. B., & Izbicki, R. (2016). A spectral series approach to high-dimensional nonparametric regression. Electronic Journal of Statistics, 10(1), 423–463.

Dou C., Zheng L., Wang W., Shabaz M., “Evaluation of Urban Environmental and Economic Coordination Based on Discrete Mathematical Model”, Mathematical Problems in Engineering, vol. 2021, Article ID 1566538, 11 pages, 2021. https://doi.org/10.1155/2021/1566538.

Akusok, A., Baek, S., Miche, Y., Björk, K. M., Nian, R., Lauren, P., & Lendasse, A. (2016). ELMVIS+

: Fast nonlinear visualization technique based on cosine distance and extreme learning machines. Neurocomputing, 205, 247–263.

Jagota V., Sethi A.P.S., Kumar K., Finite Element Method: An Overview, Walailak Journal of Science & Technology, Vol. 10, Issue 1, pp. 1–8, 2013.

Mahajan K., Garg U., Shabaz M., “CPIDM: A Clustering-Based Profound Iterating Deep Learning Model for HSI Segmentation”, Wireless Communications and Mobile Computing, vol. 2021, Article ID 7279260, 12 pages, 2021. https://doi.org/10.1155/2021/7279260.

Wang, R., Rho, S., Chen, B.-W., & Cai, W. (2017). Modeling of large-scale social network services based on mechanisms of information diffusion: Sina Weibo as a case study. Future Generation Computer Systems, 74, 291–301. https://doi.org/10.1016/j.future.2016.03.018.

Lim, H. J., Kim, Y., Sohn, H., Jeon, I., & Liu, P. (2017). Reliability improvement of nonlinear ultrasonic modulation based fatigue crack detection using feature-level data fusion. Smart Structures and Systems, 20(6), 683–696.

Thakur, D., Singh, J., Dhiman, G., Shabaz, M., & Gera, T. (2021). Identifying Major Research Areas and Minor Research Themes of Android Malware Analysis and Detection Field Using LSA. Complexity, 2021, 1–28. https://doi.org/10.1155/2021/4551067.

Bravi, L., Piccialli, V., & Sciandrone, M. (2017). An Optimization-Based Method for Feature Ranking in Nonlinear Regression Problems. IEEE Transactions on Neural Networks and Learning Systems, 28(4), 1005–1010. https://doi.org/10.1109/tnnls.2015.2504957.

Sharma C., Bagga A., Singh B.K., Shabaz M., “A Novel Optimized Graph-Based Transform Watermarking Technique to Address Security Issues in Real-Time Application”, Mathematical Problems in Engineering, vol. 2021, Article ID 5580098, 27 pages, 2021. https://doi.org/10.1155/2021/5580098.

Ma, K., Zhang, P., & Mao, Z. (2020). Study on large-scale crowd evacuation method in cultural museum using mutation prediction RFID. Personal and Ubiquitous Computing, 24(2), 177–191.

Published

2022-11-15

How to Cite

Xie, Y. ., Beram, S. M. ., Kaur, B. ., Neware, R. ., Rakhra, M. ., & Koundal, D. . (2022). Article Retracted: Research on Visualization of Large-scale User Association Feature Data Based on Nonlinear Dimension Reduction Method. Journal of Mobile Multimedia, 19(02), 587–602. https://doi.org/10.13052/jmm1550-4646.19211

Issue

2023: Vol 19 Iss 2

Section

Neural Networks for Intelligent Multimedia Signal Processing and Analysis

Most read articles by the same author(s)