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Exploring Welfare Maximization and Fairness in Participatory Budgeting
Participatory budgeting (PB) is a voting paradigm for distributing a divisible resource, usually called a budget, among a set of projects by aggregating the preferences of individuals over these projects. It is implemented ...
Deep Learning Based Channel Estimation in Wireless Communications
Deep learning techniques which employ trained neural networks to solve problems have
witnessed widespread adoption in diverse fields like medicine, architecture, robotics,
autonomous vehicles, wireless communications, ...
WiROS: A QoS Software Solution for ROS2 in a WiFi Network
Robot Operating System (ROS) has played a pivotal role as a communication middleware
among different peripherals, including sensors and actuators of robotics and other systems, with the advancement of connected systems ...
Privacy in Information Retrieval, Delivery and Distributed Computing
The aim of our work is to address the challenges of privacy in information retrieval, information
delivery, and in distributed computing systems. We focus on reducing the download and upload
costs and decreasing the ...
Decentralized information flow control for the robot operating system
The Robot Operating System (ROS) is a popular open-source middleware widely used in the
robotics community. While ROS provides extensive support for robotic application develop-
ment, it lacks certain fundamental security ...
Performance Analysis of Orthogonal Time Frequency Space Modulation in High-Doppler Channels
Next generation wireless systems are envisioned to offer dependable and consistent user experience across a wide range of environments, including high-mobility scenarios involving high-speed trains, aircrafts, and ...
An Explainable Hierarchical Class Attention Model for Legal Appeal Automation
Judicial systems worldwide are overburdened due to the limited number of legal professionals.
The digitization of legal processes has resulted in abundant legal data, paving the way for the
development of legal automation ...
Topological Structures and Operators for Bivariate Data Visualization
Understanding complex phenomena in diverse scientific and engineering disciplines often relies on decoding the interplay among real-valued or scalar fields that are measured or computed over a spatial domain. This thesis ...
Event-Related Potential Interpretation Approaches for Neonatal Hearing Screening
Biopotentials are the electrical discharges generated from the human body. They reflect the status underlying the phenomenon and are frequently used to assess the real-time physiological status of the human body. ...
Bandit Algorithms: Fairness, Welfare, and Applications in Causal Inference
We study regret in online learning from a welfarist perspective and explore an application of
bandit algorithms in causal inference. We introduce Nash regret, which measures the difference
between the optimal action ...