Skip to main navigation menu Skip to main content Skip to site footer
Logo

Articles

Vol. 4 No. 1 (2024): Blockchain Technology and Distributed Systems

Asset Digitization and Trading: Analyzing Tokenization Platforms for Digitizing Assets and Facilitating Trading on Blockchain Networks

Published
31-01-2024

Abstract

Tokenization platforms have emerged as a disruptive force in the financial and asset management industries, offering innovative solutions for asset digitization and trading. These platforms leverage blockchain technology to tokenize assets such as real estate, artwork, and other traditionally illiquid assets, enabling fractional ownership and facilitating trading on decentralized exchanges. This paper provides a comprehensive analysis of tokenization platforms, focusing on their technological architecture, regulatory considerations, and potential impact on the financial ecosystem. We examine key players in the tokenization space, highlight successful use cases, and discuss challenges and future trends in asset tokenization and trading.

References

  1. Pargaonkar, Shravan. "A Review of Software Quality Models: A Comprehensive Analysis." Journal of Science & Technology 1.1 (2020): 40-53.
  2. Nalluri, Mounika, et al. "MACHINE LEARNING AND IMMERSIVE TECHNOLOGIES FOR USER-CENTERED DIGITAL HEALTHCARE INNOVATION." Pakistan Heart Journal 57.1 (2024): 61-68.
  3. Kolay, Srikanta, Kumar Sankar Ray, and Abhoy Chand Mondal. "K+ means: An enhancement over k-means clustering algorithm." arXiv preprint arXiv:1706.02949 (2017).
  4. Ravi, Kiran Chand, et al. "AI-Powered Pancreas Navigator: Delving into the Depths of Early Pancreatic Cancer Diagnosis using Advanced Deep Learning Techniques." 2023 9th International Conference on Smart Structures and Systems (ICSSS). IEEE, 2023.
  5. Palle, Ranadeep Reddy. "Evolutionary Optimization Techniques in AI: Investigating Evolutionary Optimization Techniques and Their Application in Solving Optimization Problems in AI." Journal of Artificial Intelligence Research 3.1 (2023): 1-13.
  6. Ding, Liang, et al. "Understanding and improving lexical choice in non-autoregressive translation." arXiv preprint arXiv:2012.14583 (2020).
  7. Ray, Kumar S., and Srikanta Kolay. "Application of Approximate Equality for Reduction of Feature Vector Dimension." Journal of Pattern Recognition Research 1 (2016): 26-40.
  8. Ding, Liang, Di Wu, and Dacheng Tao. "Improving neural machine translation by bidirectional training." arXiv preprint arXiv:2109.07780 (2021).
  9. Khan, Mohammad Shahbaz, et al. "Improving Multi-Organ Cancer Diagnosis through a Machine Learning Ensemble Approach." 2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2023.
  10. Nalluri, Mounika, et al. "AUTONOMOUS HEALTH MONITORING AND ASSISTANCE SYSTEMS USING IOT." Pakistan Heart Journal 57.1 (2024): 52-60.
  11. Pargaonkar, Shravan. "Bridging the Gap: Methodological Insights from Cognitive Science for Enhanced Requirement Gathering." Journal of Science & Technology 1.1 (2020): 61-66.
  12. Nalluri, Mounika, et al. "INTEGRATION OF AI, ML, AND IOT IN HEALTHCARE DATA FUSION: INTEGRATING DATA FROM VARIOUS SOURCES, INCLUDING IOT DEVICES AND ELECTRONIC HEALTH RECORDS, PROVIDES A MORE COMPREHENSIVE VIEW OF PATIENT HEALTH." Pakistan Heart Journal 57.1 (2024): 34-42.
  13. Kumar, Bonda Kiran, et al. "Predictive Classification of Covid-19: Assessing the Impact of Digital Technologies." 2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2023.
  14. Ding, Liang, Longyue Wang, and Dacheng Tao. "Self-attention with cross-lingual position representation." arXiv preprint arXiv:2004.13310 (2020).
  15. Pargaonkar, Shravan. "Future Directions and Concluding Remarks Navigating the Horizon of Software Quality Engineering." Journal of Science & Technology 1.1 (2020): 67-81.
  16. Pargaonkar, Shravan. "Quality and Metrics in Software Quality Engineering." Journal of Science & Technology 2.1 (2021): 62-69.
  17. Dixit, Rohit R. "Predicting Fetal Health using Cardiotocograms: A Machine Learning Approach." Journal of Advanced Analytics in Healthcare Management 6.1 (2022): 43-57.
  18. Pulimamidi, R., and P. Ravichandran. "Enhancing Healthcare Delivery: AI Applications In Remote Patient Monitoring." Tuijin Jishu/Journal of Propulsion Technology 44.3: 3948-3954.
  19. Ding, Liang, et al. "Rejuvenating low-frequency words: Making the most of parallel data in non-autoregressive translation." arXiv preprint arXiv:2106.00903 (2021).
  20. Schumaker, Robert P., Michael A. Veronin, and Rohit R. Dixit. "Determining Mortality Likelihood of Opioid Drug Combinations using Decision Tree Analysis." (2022).
  21. Pargaonkar, Shravan. "The Crucial Role of Inspection in Software Quality Assurance." Journal of Science & Technology 2.1 (2021): 70-77.
  22. Ding, Liang, et al. "Context-aware cross-attention for non-autoregressive translation." arXiv preprint arXiv:2011.00770 (2020).
  23. Veronin, Michael A., et al. "Opioids and frequency counts in the US Food and Drug Administration Adverse Event Reporting System (FAERS) database: A quantitative view of the epidemic." Drug, Healthcare and Patient Safety (2019): 65-70.
  24. Pargaonkar, Shravan. "Unveiling the Future: Cybernetic Dynamics in Quality Assurance and Testing for Software Development." Journal of Science & Technology 2.1 (2021): 78-84.
  25. Ding, Liang, et al. "Redistributing low-frequency words: Making the most of monolingual data in non-autoregressive translation." Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2022.
  26. Pargaonkar, Shravan. "Unveiling the Challenges, A Comprehensive Review of Common Hurdles in Maintaining Software Quality." Journal of Science & Technology 2.1 (2021): 85-94.
  27. Dixit, Rohit R. "Risk Assessment for Hospital Readmissions: Insights from Machine Learning Algorithms." Sage Science Review of Applied Machine Learning 4.2 (2021): 1-15.
  28. Pargaonkar, S. (2020). A Review of Software Quality Models: A Comprehensive Analysis. Journal of Science & Technology, 1(1), 40-53.
  29. Veronin, Michael A., et al. "Opioids and frequency counts in the US Food and Drug Administration Adverse Event Reporting System (FAERS) database: A quantitative view of the epidemic." Drug, Healthcare and Patient Safety (2019): 65-70.
  30. Pargaonkar, S. (2020). Bridging the Gap: Methodological Insights from Cognitive Science for Enhanced Requirement Gathering. Journal of Science & Technology, 1(1), 61-66.
  31. Dixit, Rohit R. "Factors Influencing Healthtech Literacy: An Empirical Analysis of Socioeconomic, Demographic, Technological, and Health-Related Variables." Applied Research in Artificial Intelligence and Cloud Computing 1.1 (2018): 23-37.
  32. Pargaonkar, S. (2020). Future Directions and Concluding Remarks Navigating the Horizon of Software Quality Engineering. Journal of Science & Technology, 1(1), 67-81.
  33. Dixit, Rohit R., Robert P. Schumaker, and Michael A. Veronin. "A Decision Tree Analysis of Opioid and Prescription Drug Interactions Leading to Death Using the FAERS Database." IIMA/ICITED Joint Conference 2018. INTERNATIONAL INFORMATION MANAGEMENT ASSOCIATION, 2018.
  34. Schumaker, Robert, et al. "An Analysis of Covid-19 Vaccine Allergic Reactions." Journal of International Technology and Information Management 30.4 (2021): 24-40.
  35. Pargaonkar, S. (2021). Quality and Metrics in Software Quality Engineering. Journal of Science & Technology, 2(1), 62-69.
  36. Veronin, Michael A., et al. "Irony of the FAERS Database: An Analysis of Data Input Errors and Potential Consequences." IIMA/ICITED Joint Conference 2018. INTERNATIONAL INFORMATION MANAGEMENT ASSOCIATION, 2018.
  37. Pargaonkar, S. (2021). The Crucial Role of Inspection in Software Quality Assurance. Journal of Science & Technology, 2(1), 70-77.
  38. Schumaker, Robert P., et al. "A data driven approach to profile potential SARS-CoV-2 drug interactions using TylerADE." Journal of International Technology and Information Management 30.3 (2021): 108-142.
  39. Pargaonkar, S. (2021). Unveiling the Future: Cybernetic Dynamics in Quality Assurance and Testing for Software Development. Journal of Science & Technology, 2(1), 78-84.
  40. Veronin, Michael A., Robert P. Schumaker, and Rohit Dixit. "The irony of MedWatch and the FAERS database: an assessment of data input errors and potential consequences." Journal of Pharmacy Technology 36.4 (2020): 164-167.
  41. Veronin, Michael A., et al. "A systematic approach to'cleaning'of drug name records data in the FAERS database: a case report." International Journal of Big Data Management1.2 (2020): 105-118.
  42. Pargaonkar, S. (2021). Unveiling the Challenges, A Comprehensive Review of Common Hurdles in Maintaining Software Quality. Journal of Science & Technology, 2(1), 85-94.
  43. Dey, Sudipto, et al. "METHODS AND SYSTEMS FOR SELECTING A MACHINE LEARNING ALGORITHM." U.S. Patent Application No. 18/514,181.