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 With the rapid development of network communication technologies and remote applications, the volume of data traffic generated by users and various IoT systems has significantly increased, especially during the recent pandemic. Cloud-based file storage services have been widely used for storing large amounts of user data as they provide...

Background Air traffic control is a crucial part of aviation safety, ensuring that aircraft are safely guided through the airspace and landed or taken off from airports. Effective workload management of air traffic controllers (ATCos) is an important component of maintaining safety within the aviation domain. One component of effective workload management...

Background Multi-agent reinforcement learning (MARL) involves a number of agents interacting within a common environment to jointly maximize a long-term reward. However, the key challenge with MARL is the combinatorial nature, which results in high computational complexity. The behavior of each individual agent relies on what has been learned by the...

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 Smart device-based human-robot systems provide a wide range of possibilities to enhance the flexibility and robustness of human-robot interactions. These include navigating mobile robots using a single smartwatch, automated monitoring of vital body functions through smartwatches, and the coordination of multi-robot systems. The utilization...

Background There has been a recent rise in the number of people impersonating delivery workers, and is partially due to home alarms only being sold to secure closed doors. By analyzing the interaction between homeowners and burglars, it was apparent burglars can exploit this flaw by assuming a fake identity to persuade homeowners to disable their alarm...

Background Unmanned vehicles such as unmanned aerial vehicles (UAVs) can be used for performing surveillance, reconnaissance, and exploration tasks in a wide variety of environments for military and civilian applications. A UAV may be manually controlled by a remote user, or may operate in a semi-autonomous or fully autonomous manner. Such UAVs can...

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...