Background Positive unlabeled (PU) learning is a semi-supervised machine learning approach to a binary classification problem in which most of the data is unlabeled. PU learning algorithms reduce the computational cost of training machine learning classifiers, because the labeling of data is time-intensive for supervised machine learning algorithms....

Background Private transportation is currently the most common form of transportation in the United States. Cars are an essential commodity, with each household in America typically having at least one car. However, finding an open parking space can be a daunting task, especially with the surge in the number of city vehicles. Navigating through a...

Background A field-programmable gate array (FPGA) is a reprogrammable integrated circuit (IC) that can be configured for many different uses. FPGAs are essentially chips that can configured to perform specific tasks after they are manufactured. A multi-tenant FPGA is one that is designed to be shared by multiple, potentially independent, users or “tenants”....

Background Commercial drone delivery systems are increasingly used, particularly in the US and in China, with over 2000 deliveries occurring in 2022. Drone delivery systems have many advantages over conventional delivery systems, including lower costs, faster deliveries, and increased energy efficiency. However, drone delivery systems can lead to increased...

Background Generative pre-trained transformers (GPT) have grown in recent years in a number of natural language processing applications, largely due to the powerful openly available software and easy-to-use natural language interfaces. Transformers can provide a flexible and powerful model that generalizes the earlier forms of neural networks by using...

Background Recent studies have showed the ability of Quantum Computers to produce atypical patterns which are hard to produce classically, which gives them a distinct advantage in the domain of machine learning. However, most devices today are considered Noisy Intermediate Scale Quantum (NISQ) devices, which are limited in the circuit breadth and suffer...

Background Trajectory sensitivity (TS) is a powerful approach to aid in dynamic security assessment (DSA). However, its practical usage has been limited so far due to concerns associated with its scalability. With a focus on increasing penetration of inverter-based resources and a long queue of pending generation interconnection requests, large-scale...

Background Radio frequency (RF) systems are used in a wide variety of applications including telecommunications, remote sensing, and navigation. Typical RF systems are configured with various architectures on the front-ends and other receivers. Reconfigurable RF systems have been recently studied for their potential to support a variety of applications...

Background Intense competition in the stock market results in a very efficient marketplace, where finding such repeatable predictive patterns is increasingly difficult. The field of technical analysis seeks to find repeatable patterns in price movements for a given asset to gain a predictive advantage in assessing its future price in the short term. As...

Background The service life of asphalt pavement could be significantly enhanced by an increase in the density of asphalt pavement, even as small as 1%. The importance of achieving consistent and target density has long been recognized by many transportation agencies, and density is widely acknowledged as one of the key indicators of the quality of...