Browsing by Subject "Machine learning"
Now showing items 1-20 of 31
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Achieving real-time video summarization on commodity hardware
(2018-04-01)We present a system for automatic video summarization which is able to operate in real-time on commodity hardware. This is achieved by performing segmentation to divide a video into a series of small video clips, which are ... -
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 ... -
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 ... -
Automatic fall risk detection based on imbalanced data
(2021-08-01)In recent years, the declining birthrate and ageing population have gradually brought countries into an ageing society. In regards to the accidents that occur amongst the elderly, falls are an important problem that quickly ... -
Characterizing the potential energy surface of two dimensional and bulk materials using high dimensional neural network potentials
(2018-08-01)Computing material properties at the ab-initio level of detail is computationally prohibitive for large systems or long timescales. As a result, such methods cannot be used to efficiently sample configuration space. Force ... -
Characterizing water-metal interfaces and machine learning potential energy surfaces
(2017-08-01)In this thesis, we first discuss the fundamentals of ab initio electronic structure theory and density functional theory (DFT). We also discuss statistics related to computing thermodynamic averages of molecular dynamics ... -
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 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 ... -
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 ... -
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 ... -
Machine learning classification techniques for non-intrusive load monitoring
(2016-10-01)Non-intrusive load monitoring is the concept of determining the operational loads using single-point sensing. The features contained within the electrical load’s signal are used to identify a unique signature which is ... -
Machine learning classifiers for critical cardiac conditions
(2016-04-01)Cardiac diseases are one of the leading causes of death in Canada. Current methods of diagnosing cardiac conditions require a manual and visual analysis of ECG and heart rate (RR interval) data. In this thesis, novel ... -
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 ... -
MAVIDS: an intelligent intrusion detection system for autonomous unmanned aerial vehicles
(2021-07-01)Unmanned Aerial Vehicles (UAVs) face a large threat landscape, being used in numerous industries in hostile environments while relying on wireless communication. As attacks against UAVs increase, an intelligent Intrusion ... -
A modular interface framework for multimodal annotations and visualizations in Human-AI collaboration
(2021-07-01)Modular is a web-based annotation, visualization, and inference software plat-form for computational language and vision research. The platform enables researchers to set up an interface for efficiently annotating language ... -
On deep learning in physics
(2021-04-01)Machine learning, and most notably deep neural networks, have seen unprecedented success in recent years due to their ability to learn complex nonlinear mappings by ingesting large amounts of data through the process of ... -
Perpetually playing physics
(2019-08-01)Here we discuss ideas of reinforcement learning and the importance of various aspects of it. We show how reinforcement learning methods based on genetic algorithms can be used to reproduce thermodynamic cycles without prior ... -
Polymorphic Adversarial DDoS attack on IDS using GAN
(2020-12-01)IDS are essential components in preventing malicious traffic from penetrating networks. IDS have been rapidly enhancing their detection ability using ML algorithms. As a result, attackers look for new methods to evade the ... -
Predicting Bitcoin: a robust model for predicting Bitcoin price directions based on network influencers
(2016-10-01)The ability to predict financial markets has tremendous potential to limit exposure to risk and provide better assurances of annualized gains. In this thesis, a model for predicting the future daily price of Bitcoin is ...