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ORCID

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  1. M. Chopra, P. C. Chhipa, G. Mengi, V. Gupta and M. Liwicki, Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery, 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, 2023, pp. 1-8, doi: 10.1109/IJCNN54540.2023.10191249.
  2. P. C. Chhipa, M. Chopra, G. Mengi, V. Gupta, R. Upadhyay, M.S. Chippa, Kanjar De, R. Saini, S. Uchida, M. Liwicki, Functional Knowledge Transfer with Self-supervised Representation Learning, 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023, pp. 3339-3343, doi: 10.1109/ICIP49359.2023.10222142.
  3. E. Gupta, V. Gupta, M. Chopra, P. C. Chhipa and M. Liwicki, Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images, 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, 2023, pp. 1-7, doi: 10.1109/IJCNN54540.2023.10191796
  4. M. Chopra, Dr. S. K. Singh, A. Gupta, K. Aggarwal, B.B. Gupta, F. Colace, Analysis & prognosis of sustainable development goals using big data-based approach during COVID-19 pandemic, Sustainable Technology and Entrepreneurship, Volume 1, Issue 2, 2022, 100012, ISSN 2773-0328, https://doi.org/10.1016/j.stae.2022.100012
  5. Chopra, M., Singh, S. K., Aggarwal, K., & Gupta, A. (2022). Predicting catastrophic events using machine learning models for natural language processing. In Data mining approaches for big data and sentiment analysis in social media (pp. 223–243). IGI Global.

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Patent Granted: METHOD AND SYSTEM FOR REAL-TIME DETECTION AND REPAIR PRIORITIZATION OF POTHOLES. (2023). Indian Patent Office. Retrieved from https://shorturl.at/Dgkd4

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