Browsing by Subject "Artificial Intelligence"
Now showing items 1-13 of 13
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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. ... -
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 ... -
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 ... -
The Context-Aware Learning Model
(2017-12)The ultimate goal of this research is to build a novel, generalized, arbitrary-depth, neural controller that performs reward- and experience-based neuromodulatory learning, which is online, bootstrapping, interactive, ... -
Fast Adaptive Digital Beamforming With Machine Learning
(2022-12-16)Digital polarimetric Phased Array Radar (PAR) has the potential to achieve high temporal and spatial resolution needed for next-generation weather observations. It offers flexibility in scanning strategies, including the ... -
Graph Attention and Persistence for Traveling Salesman Problem
(2023-05-12)Combinatorial optimization problems have long been a computationally-challenging family of problems with high importance within science. Although algorithms to solve such problems exist, these classical/exact algorithms ... -
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 ... -
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 ... -
A New Paradigm for Proactive Self-Healing in Future Self-Organizing Mobile Cellular Networks
(2019)Mobile cellular network operators spend nearly a quarter of their revenue on network management and maintenance. Remarkably, a significant proportion of that budget is spent on resolving outages that degrade or disrupt ... -
NURTURING PROMOTES THE EVOLUTION OF LEARNING IN CHANGING ENVIRONMENTS
(2015-08-14)An agent may interact with its environment and learn complex tasks based on evaluative feedback through a process known as reinforcement learning. Reinforcement learning requires exploration of unfamiliar situations, ... -
Promoting Speciation Through Variable Dominance in Genetic Algorithms
(2020-05)Genetic algorithms are a class of search algorithms that have been around since the 1970s. Despite their age, genetic algorithms still see a great deal of use in various applications and so many efforts have gone into ... -
A study on diffusion probabilistic models for image generation
(2023-12-15)Diffusion probabilistic models have emerged as powerful tools for image generation and synthesis tasks. This research delves into the intricate relationship between the hyperparameters of these models and the underlying ... -
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 ...