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Application-specific transfer learning over edge networks
(2021-11-01)
Transfer learning uses a profound labeled set of data from the source domain to deal with a similar problem for the target domain. Transfer learning provides accurate decision- making when insufficient data samples are ...
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 ...
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. ...
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 ...
Addressing electrode-specific degradation in the production and performance of electrochemical energy storage systems
(2023-08-01)
This thesis addresses the pressing issue of sustainable development and climate change by examining the life cycle (degradation) of electrochemical energy storage devices. Specifically, it investigates a green synthesis ...
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 ...
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 ...