Browsing Engineering (Faculty of) by Subject "Machine Learning"
Now showing items 21-34 of 34
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In Search of Lost Time
(University of Waterloo, 2012-05-16)In Marcel Proust's most famous novel, In Search of Lost Time, a Madeleine cake elicited in him a nostalgic memory of Combray. Here we present a computational hypothesis of how such an episodic memory is represented in a ... -
Investigating Scene Understanding for Robotic Grasping: From Pose Estimation to Explainable AI
(University of Waterloo, 2023-09-22)In the rapidly evolving field of robotics, the ability to accurately grasp and manipulate objects—known as robotic grasping—is a cornerstone of autonomous operation. This capability is pivotal across a multitude of ... -
Large-Scale Traffic Flow Prediction Using Deep Learning in the Context of Smart Mobility
(University of Waterloo, 2018-04-24)Designing and developing a new generation of cities around the world (termed as smart cities) is fast becoming one of the ultimate solutions to overcome cities' problems such as population growth, pollution, energy crisis, ... -
A Methodology for Data-Informed Process Control in Progressive Die Sheet Metal Forming
(University of Waterloo, 2022-10-25)This thesis investigates the coupled relationship between the strip transfer and forming operations in progressive die sheet metal forming, including the effects of the strip layout geometry, and its effect on the process ... -
Multimodal Artificial Intelligence for Histopathology & Genomics Fusion
(University of Waterloo, 2024-01-29)The field of medical diagnostics has witnessed a transformative convergence of artificial intelligence (AI) and healthcare data, offering promising avenues for enhancing patient care and disease comprehension. However, ... -
Municipal Road Infrastructure Assessment Using Street View Images
(University of Waterloo, 2016-09-23)Road quality assessment is a crucial part in Municipalities' work to maintain their infrastructure, plan upgrades, and manage their budgets. Properly maintaining this infrastructure relies heavily on consistently monitoring ... -
New Convolutional Neural Network Topology with Compressed Information to Enhance Accuracy for Image Classification Task
(University of Waterloo, 2019-09-23)Source coding and deep learning are two major branches in the field of information processing. Source coding encodes information that can be summarised with patterns into certain representation without semantic consideration. ... -
Radon Projections as Image Descriptors for Content-Based Retrieval of Medical Images
(University of Waterloo, 2018-04-23)Clinical analysis and medical diagnosis of diverse diseases adopt medical imaging techniques to empower specialists to perform their tasks by visualizing internal body organs and tissues for classifying and treating diseases ... -
Reinforcement Learning for Determining Spread Dynamics of Spatially Spreading Processes with Emphasis on Forest Fires
(University of Waterloo, 2018-04-20)Machine learning algorithms have increased tremendously in power in recent years but have yet to be fully utilized in many ecology and sustainable resource management domains such as wildlife reserve design, forest fire ... -
Semantic Assisted, Multiresolution Image Retrieval in 3D Brain MR Volumes
(University of Waterloo, 2010-11-03)Content Based Image Retrieval (CBIR) is an important research area in the field of multimedia information retrieval. The application of CBIR in the medical domain has been attempted before, however the use of CBIR in medical ... -
Temporal Segmentation of Human Motion for Rehabilitation
(University of Waterloo, 2017-04-27)Current physiotherapy practice relies on visual observation of patient movement for assessment and diagnosis. Automation of motion monitoring has the potential to improve accuracy and reliability, and provide additional ... -
Training Gaussian Process Regression Models Using Optimized Trajectories
(University of Waterloo, 2014-10-02)Quadrotor helicopters and robot manipulators are used widely for both research and industrial applications. Both quadrotors and manipulators are difficult to model. Quadrotors have complex dynamic models, especially at ... -
An Unsupervised Approach to Relatedness Analysis of Legal Language
(University of Waterloo, 2018-09-20)Learning distributed representations of sentences and analyzing semantic similarity between sentences is one of the essential works in the field of Natural Language Processing. In the domain of legal language, the future ... -
Weakly Supervised Learning Algorithms and an Application to Electromyography
(University of Waterloo, 2014-06-23)In the standard machine learning framework, training data is assumed to be fully supervised. However, collecting fully labelled data is not always easy. Due to cost, time, effort or other types of constraints, requiring ...