Vol. 2 No. 2 (2022): African Journal of Artificial Intelligence and Sustainable Development
Articles

Professor of Artificial Intelligence, Lomonosov Moscow State University, Russia

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  • Dr. Seungjin Oh
Dr. Seungjin Oh
Professor of Electrical Engineering, Pohang University of Science and Technology (POSTECH), South Korea
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Published 10-07-2022

Keywords

  • FORCES
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How to Cite

[1]
Dr. Seungjin Oh, “ Professor of Artificial Intelligence, Lomonosov Moscow State University, Russia”, African J. of Artificial Int. and Sust. Dev., vol. 2, no. 2, pp. 75–98, Jul. 2022, Accessed: Nov. 21, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/109

Abstract

Additionally, FORCES captures strengths possessed by current state-of-the-art learning/AI techniques along with traditional control-efforts driven design. The first core contribution of this work is in presenting an approach for code generation-time fusion of both the learning- and control-based techniques into a combined loop, for the computation. This occurs in the context of a verified hybrid controller over the haPN model and the approach remains generally applicable. Consequently, the application of these advances results in production of much more flexible and robust implementations.

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References

  1. Prabhod, Kummaragunta Joel. "ANALYZING THE ROLE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNIQUES IN IMPROVING PRODUCTION SYSTEMS." Science, Technology and Development 10.7 (2021): 698-707.
  2. Sadhu, Amith Kumar Reddy, and Ashok Kumar Reddy Sadhu. "Fortifying the Frontier: A Critical Examination of Best Practices, Emerging Trends, and Access Management Paradigms in Securing the Expanding Internet of Things (IoT) Network." Journal of Science & Technology 1.1 (2020): 171-195.
  3. Tatineni, Sumanth, and Karthik Allam. "Implementing AI-Enhanced Continuous Testing in DevOps Pipelines: Strategies for Automated Test Generation, Execution, and Analysis." Blockchain Technology and Distributed Systems 2.1 (2022): 46-81.
  4. Pulimamidi, Rahul. "Emerging Technological Trends for Enhancing Healthcare Access in Remote Areas." Journal of Science & Technology 2.4 (2021): 53-62.
  5. Perumalsamy, Jegatheeswari, Chandrashekar Althati, and Lavanya Shanmugam. "Advanced AI and Machine Learning Techniques for Predictive Analytics in Annuity Products: Enhancing Risk Assessment and Pricing Accuracy." Journal of Artificial Intelligence Research 2.2 (2022): 51-82.
  6. Devan, Munivel, Lavanya Shanmugam, and Chandrashekar Althati. "Overcoming Data Migration Challenges to Cloud Using AI and Machine Learning: Techniques, Tools, and Best Practices." Australian Journal of Machine Learning Research & Applications 1.2 (2021): 1-39.
  7. Pelluru, Karthik. "Unveiling the Power of IT DataOps: Transforming Businesses across Industries." Innovative Computer Sciences Journal 8.1 (2022): 1-10.
  8. Machireddy, Jeshwanth Reddy. "Data-Driven Insights: Analyzing the Effects of Underutilized HRAs and HSAs on Healthcare Spending and Insurance Efficiency." Journal of Bioinformatics and Artificial Intelligence 1.1 (2021): 450-470.
  9. Althati, Chandrashekar, Bhavani Krothapalli, and Bhargav Kumar Konidena. "Machine Learning Solutions for Data Migration to Cloud: Addressing Complexity, Security, and Performance." Australian Journal of Machine Learning Research & Applications 1.2 (2021): 38-79.
  10. Sadhu, Ashok Kumar Reddy, and Amith Kumar Reddy. "A Comparative Analysis of Lightweight Cryptographic Protocols for Enhanced Communication Security in Resource-Constrained Internet of Things (IoT) Environments." African Journal of Artificial Intelligence and Sustainable Development 2.2 (2022): 121-142.
  11. Tatineni, Sumanth, and Venkat Raviteja Boppana. "AI-Powered DevOps and MLOps Frameworks: Enhancing Collaboration, Automation, and Scalability in Machine Learning Pipelines." Journal of Artificial Intelligence Research and Applications 1.2 (2021): 58-88.