Emerging Paradigms in Advanced Technologies and Their Role in Shaping Multidisciplinary Innovations Across Critical Sectors

Jyoti Prakash; Virender Thakur

Authors

Jyoti Prakash Author
Virender Thakur Author

Keywords:

Emerging technologies, multidisciplinary innovations, artificial intelligence, blockchain, quantum computing, critical sectors, healthcare, energy, transportation, sustainability

Abstract

The convergence of advanced technologies such as artificial intelligence (AI), blockchain, Internet of Things (IoT), and quantum computing has initiated a paradigm shift, shaping innovations across critical sectors such as healthcare, energy, transportation, and finance. These technologies synergize to create multidisciplinary applications, driving efficiency, sustainability, and scalability. This paper explores emerging paradigms in advanced technologies, examining their transformative potential through a detailed analysis of literature and recent developments. Furthermore, the study underscores the importance of multidisciplinary approaches in addressing global challenges and fostering innovation in critical sectors. Data-driven insights, algorithms, and conceptual frameworks elucidate these technologies' roles in catalyzing a more interconnected and resilient future.

References

Wilson, P., & Roberts, J. (2021). Quantum Algorithms in Logistics Optimization: A Case Study. International Journal of Quantum Applications, 9(1), 15–30.

Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System.

Patel, B., Yarlagadda, V.K., Dhameliya, N., Mullangi, K., & Vennapusa, S.C.R. (2022). Advancements in 5G Technology: Enhancing Connectivity and Performance in Communication Engineering. Engineering International, 10(2), 117–130. https://doi.org/10.18034/ei.v10i2.715

Sharma, P., & Gupta, R. (2019). Role of Blockchain in Renewable Energy Integration. Journal of Energy Systems, 11(3), 150–165.

Jones, A., & Martin, C. (2020). Machine Learning in Agriculture: Predicting Crop Yields. Journal of Agricultural Science and Technology, 18(1), 45–60.

Patel, K., & Bose, R. (2020). AI in Financial Fraud Detection: Enhancing Transpar-ency and Security. Journal of Financial Analytics, 14(1), 25–40.

Bennett, C., & Brassard, G. (1984). Quantum Key Distribution. Theoretical Computer Science, 1(1), 1–9.

Zhang, H., & Chen, L. (2019). Blockchain and AI Synergies in Healthcare. Journal of HealthTech Research, 5(2), 80–95.

Ahmad, N., & Khan, S. (2019). AI in Education: Personalized Learning Systems. Journal of Educational Technology, 10(4), 200–220.

Lee, S., & Kim, H. (2021). IoT-Driven Smart Cities: Enhancing Urban Efficiency Through Technology. Smart Cities and Urban Technologies, 7(3), 50–75.

Pydipalli, R., Anumandla, S.K.R., Dhameliya, N., Thompson, C.R., Patel, B., Venna-pusa, S.C.R., Sandu, A.K., & Shajahan, M.A. (2022). Reciprocal Symmetry and the Unified Theory of Elementary Particles: Bridging Quantum Mechanics and Relativity. International Journal of Reciprocal Symmetry and Theoretical Physics, 9(1), 1–9.

Huang, G., et al. (2020). Artificial Intelligence in Predictive Healthcare. Journal of Medical AI, 12(4), 234–245.

Chen, J., & Li, X. (2020). Blockchain Applications in Supply Chain Management: A Review. Journal of Supply Chain Management, 15(2), 100–115.

Zhang, L., et al. (2019). Optimization Algorithms for Smart Grids. Energy Systems Research, 8(3), 150–170.

Patel, B., Mullangi, K., Roberts, C., Dhameliya, N., & Maddula, S.S. (2019). Block-chain-Based Auditing Platform for Transparent Financial Transactions. Asian Ac-counting and Auditing Advancement, 10(1), 65–80.

Wang, Y., & Zhao, L. (2018). Quantum Computing and Its Impact on Cryptography. Advances in Theoretical Computer Science, 6(2), 89–105.

Li, F., et al. (2021). Blockchain for Medical Records Integrity. HealthTech Innova-tions, 9(2), 98–112.

Koehler, S., Dhameliya, N., Patel, B., & Anumandla, S.K.R. (2018). AI-Enhanced Cryptocurrency Trading Algorithm for Optimal Investment Strategies. Asian Ac-counting and Auditing Advancement, 9(1), 101–114.

Brown, T., Smith, H., & Johnson, K. (2019). AI in Transportation: Autonomous Ve-hicles and Safety Enhancements. International Journal of Transport Systems, 24(4), 245–260.