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Now showing items 41-48 of 48
Design of dust-filtering algorithms for LiDAR sensors in off-road vehicles using the AI and non-AI methods
(2022-08-01)
The performance of Lidar sensors degrades in the presence of dust. These particles can impact sensor measurements and cause robot perception algorithms to misinterpret data. This thesis proposes two distinct dust filtering ...
Energy management of nuclear-renewable hybrid energy system for fast charging station
(2022-07-01)
The transportation sector is one of the largest contributors to greenhouse gas (GHG) emissions. Due to this, electric vehicles (EVs) have become popular as it reduces emissions significantly. Despite this significance, EVs ...
Design optimization of articulated vehicles with autonomous steering control
(2022-08-01)
Human driver errors cause about 94% of traffic collisions. To increase the safety of road vehicles, extensive studies have been conducted on developing autonomous driving technologies. However, little attention has been ...
A supervised machine learning-based framework to detect low-level fault injections in software systems
(2022-08-01)
Fault injection attacks inject faults into system components, inducing abnormal software behavior. Software vulnerability analysis cannot prevent new attack vectors without software modifications. Attack detection methods ...
Rapid remaining-useful-life prediction of Li-ion batteries using image-based machine learning
(2022-08-01)
With the increased integration of lithium-ion batteries in our everyday lives, accurate and reliable battery management systems have become an imperative aspect of the well-being of our everyday electronics. This thesis ...
Deep transfer-learning based lithium-ion battery fault diagnosis
(2022-08-01)
Fault detection in lithium-ion batteries (LiB) is paramount to ensuring the long life and proper functioning of the batteries. To that end, this thesis proposes a combined fault diagnosis framework that leverages voltage ...
A real-time 12-lead electrocardiogram remote patient monitoring and analytics framework
(2022-10-01)
This work presents XBeats: A machine learning-based framework for real-time electrocardiogram monitoring and analysis that uses edge computing and data analytics for early anomaly detection. The framework encompasses a ...
Design and development of an autonomous flying excavator platform using a drone
(2022-09-01)
In this research, a drone-based excavation platform prototype is presented with the primary goals of balancing stability during excavation, sensing, and excavating the soil pile autonomously without human intervention. ...