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Artificial Intelligence-based Network Modeling for enabling Zero Touch Automation in Next Generation Cellular Networks
(2023-08-04)
The crux of contemporary network design involves mathematical models to describe the quantitative impact of system components on overall performance. However, these models often grapple with trade-offs between accuracy and ...
Machine learning for classifying biological radar echoes with S-band polarimetric radar
(2023-12-15)
The S-band WSR-88D weather radar is sensitive enough to observe biological
scatterers like birds and insects. However, their non-spherical shapes and frequent
collocation in the radar resolution volume create challenges ...
Addressing mobility challenges in AI-enabled emerging cellular networks
(2023-05-12)
The ability to support seamless user mobility has been the Raison D’etre of mobile networks. In recent years, the cellular network industry has evolved significantly, and mobility management is becoming a major challenge. ...
Three Essays Conceptually Exploring Implications for Artificial Intelligence in Marketing
(2023-05-12)
This dissertation comprises three essays that conceptually explore the implications of artificial intelligence (AI) in marketing. AI is increasingly becoming integrated into every facet of marketing. As AI reshapes marketing ...
Improving Outcomes in Machine Learning and Data-Driven Learning Systems using Structural Causal Models
(2023-12-15)
The field of causal inference has experienced rapid growth and development in recent years. Its significance in addressing a diverse array of problems and its relevance across various research and application domains are ...
Artificial Intelligence Aversion in Public Policy
(2024-05-11)
This dissertation advances our understanding of how individuals relate to the utilization of artificial intelligence within the public policy domain. This is done through theoretical development about the aversion individuals ...