Browsing Electrical and Computer Engineering by Subject "Deep Learning"
Now showing items 1-10 of 10
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Bayesian Deep Learning and Uncertainty in Computer Vision
(University of Waterloo, 2019-09-17)Visual data contains rich information about the operating environment of an intelligent robotic system. Extracting this information allows intelligent systems to reason and decide their future actions. Erroneous visual ... -
Computer-Aided Diagnosis for Early Identification of Multi-Type Dementia using Deep Neural Networks
(University of Waterloo, 2017-10-24)With millions of people suffering from dementia worldwide, the global prevalence of this condition has a significant impact on the global economy. As well, its prevalence has a negative impact on patients’ lives and their ... -
Data Balancing and Hyper-parameter Optimization for Machine Learning Algorithms for Secure IoT Networks
(University of Waterloo, 2022-12-19)Nowadays, many industries rely on Machine Learning (ML) algorithms and their ability to learn from existing data to make inferences about new unlabeled data. Applying ML algorithms to the network security domain is not ... -
Deep Learning and Spatial Statistics for Determining Road Surface Condition
(University of Waterloo, 2019-08-28)Machine Learning (ML), and especially Deep Learning (DL) methods, have evolved rapidly over the last years and showed remarkable advances in research areas such as computer vision and natural language processing; however, ... -
Deep Learning Tools for Yield and Price Forecasting Using Satellite Images
(University of Waterloo, 2021-07-26)The ability to forecast crop yields and prices is vital to secure global food availability and provide farmers, retailers, and consumers with valuable information to maximize effectiveness. Conventional approaches used to ... -
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, ... -
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. ... -
Receiver Channel Recovery in High-Frame-Rate Ultrasound Imaging using Branched Convolutional Neural Networks
(University of Waterloo, 2022-08-22)High frame rate ultrasound (HiFRUS) is an imaging paradigm that utilizes unfocused transmissions to perform acquisitions at kilohertz frame rates, and its high temporal resolution enables its use in tracking dynamic ... -
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 ... -
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 ...