Semiconductor Process Innovation: Leveraging Big Data for Real-Time  Decision-Making

Botlagunta Preethish Nandan

Semiconductor Process Innovation: Leveraging Big Data for Real-Time Decision-Making

Authors

Botlagunta Preethish Nandan

Keywords:

emiconductor Manufacturing,Process Innovation,Big Data Analytics,Real-Time Decision Making,Smart Manufacturing,Predictive Maintenance,Yield Optimization,Machine Learning,Data-Driven Engineering,Process Control,Industry 4.0,AI in Semiconductors,Advanced Process Control (APC),Data Integration,Digital Twin Technology

Abstract

Semiconductor manufacturing is evolving rapidly, driven by rising demand across the economy and the arrival of new production
technologies. Over the past 30 years, the industry has steadily ramped up production capacity, and today is aggressively investing

References

Challa, S. R., Malempati, M., Sriram, H. K., & Dodda, A. (2024). Leveraging Artificial Intelligence for Secure and Efficient Payment Systems: Transforming Financial Transactions, Regulatory Compliance, and Wealth Optimization. Leveraging Artificial Intelligence for Secure and Efficient Payment Systems: Transforming Financial Transactions, Regulatory Compliance, and Wealth Optimization (December 22, 2024).

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Published

2024-12-10

How to Cite

Botlagunta Preethish Nandan. (2024). Semiconductor Process Innovation: Leveraging Big Data for Real-Time Decision-Making. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 4038–4053. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2737