Deep neural networks are black box models that are hard to interpret by humans. However, organizations developing AI models must ensure transparency and accountability by providing the public with a comprehensive understanding of model functionality. We suggest integrating explainability information as feedback during the development, verification,...
As lithium-ion battery (LIB) cells degrade over time and usage, it is crucial to understand the remainingcapacity, also known as State of Health (SoH), and inconsistencies between cells in a pack, also known as cell-to-cell variation (CtCV), to appropriately operate and maintain LIB packs. This study outlines efforts to model pack SoH and SoH CtCV ...
The objective of this work is to leverage the unique insulator to metal transition of Lanthanum Cobaltite (LaCoO3, LCO) towards the next generation of power limiters for high temperature, wide bandwidth, and high-power operation. LaCoO3 is a semiconducting perovskite that demonstrates a spin-state transition to metallic behavior about 500 K. In thi...
Epidural electrical stimulation (EES) has garnered interest as a treatment option for spinal cord injury and has promoted the recovery of autonomic and voluntary motor function in patients with paraplegia. While spatiotemporal EES has been optimized to facilitate functional movement, there remains an unmet need for targeted, spatially selective sti...
Universities worldwide face challenges both with students dropping out of educational programmes and repetitive questions directed toward teaching staff which both consume resources and result in delays. Recent progress in natural language processing (NLP) introduces the possibility of more sophisticated dialogue systems that could help alleviate t...
Appropriate support in the home may not be readily available for people living in the community with mental illness and physical comorbidities. This mixed-method study evaluated a smart home technology intervention for individuals within this population as well as providing health care providers with health monitoring capabilities. The study recrui...
Next generation of wireless systems and internet of things (IoT), together with smart energy networks and artificial intelligence (AI) will create a new paradigm to enable novel application scenarios and services to be deployed in future smart cities and intelligent transportation by effectively sharing information among different entities in a fas...
This article provides a comprehensive analysis of the impact of the increasing number of measurements and the possible increase in the number of faults in multi-constellation Global Navigation Satellite System (GNSS) Receiver Autonomous Integrity Monitoring (RAIM). Residual-based fault detection and integrity monitoring techniques are ubiquitous in...
This dissertation addresses the challenges associated with electrophysiological research in small animal models, such as rodents, amphibians, and zebrafish, by developing and implementing miniaturized, wearable, and non-invasive biosensors. Existing methods are limited by factors like invasiveness, interference with normal activities, and potential...
The rapid expansion of digital technologies and interconnected systems has brought about an unprecedented need for safeguarding sensitive information against an array of hardware security threats. Among these threats are Hardware Trojan insertion, Reverse Engineering Side-Channel Attacks, and SAT attacks, which pose substantial risks to the confide...
