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Now showing items 21-30 of 32
Proposing an ensemble-based model using data clustering and machine learning algorithms for effective predictions
(2019-08-01)
One of the most important tasks in machine learning is prediction. Data scientists use various regression methods to find the most appropriate and accurate model applicable for each type of datasets. This study proposes a ...
Design and development of advanced machine learning algorithms for lithium-ion battery state-of-charge estimation
(2019-11-01)
Batteries have been becoming more and more popular because of their long life and lightweight. Accurate estimation of the SOC help in making plans in an application to conserve and further enhance battery life. State of ...
Investigation of electrochemical and material properties of TiO2 nanostructures generated by pulsed laser ablation
(2022-04-01)
The most challenging feature of the supercapacitor is low energy density. The supercapacitor's low energy density can be improved by proposing new materials for electrodes, electrolytes, etc. This thesis presents a new ...
Design and development of a machine learning-based framework for phishing website detection
(2022-04-01)
Phishing is a social engineering cyber attack to steal personal information from users. Attackers solicit individuals to click phishing links by sending them emails or social media text messages with deceptive content. ...
Design and development of a novel anthropomorphic finger with pneumatic tactile sensing
(2020-04-01)
The human hand is a tool that we rely on to conduct a vast variety of tasks, from cracking eggs to lifting boxes. Meanwhile, in an industrial setting, different tools are needed to complete specific tasks. Picking up a box ...
Design and development of an interactive autonomous monitoring and surveillance drone
(2020-04-01)
This thesis describes the design and development of the novel autonomous UAV that has powerful GPU unit and potential sensing capability. It can run ROS (Robot Operating System) and compatible with packages developed under ...
An anomaly detection model utilizing attributes of low powered networks, IEEE 802.15.4e/TSCH and machine learning methods
(2019-12-01)
The rapid growth in sensors, low-power integrated circuits, and wireless communication standards has enabled a new generation of applications based on ultra-low powered wireless sensor networks. These are employed in many ...
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 ...
Magic Pen: automatic pen-mode switching for document annotation
(2022-08-01)
Traditional digital pen interfaces use menu buttons to change pen modes, resulting in time and cognitive load spent on round-trips and potential errors from tapping small mode selection buttons. This thesis presents Magic ...
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 ...