Browsing Electrical and Computer Engineering by Subject "deep learning"
Now showing items 1-20 of 20
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Abstraction Mechanism on Neural Machine Translation Models for Automated Program Repair
(University of Waterloo, 2019-09-23)Bug fixing is a time-consuming task in software development. Automated bug repair tools are created to fix programs with little or no human effort. There are many existing tools based on the generate-and-validate (G&V) ... -
AI Aided Tools for Fresh Produce Yield and Price Forecasting: Deep Learning Approaches
(University of Waterloo, 2021-07-22)It is important to have an accurate estimate of the yields and prices of fresh produce (FP) for maintaining an effective Fresh Produce Supply Chain Management (FSCM). Since, the FP comprises of the perishable goods, it is ... -
Autonomous Driving: A Multi-Objective Deep Reinforcement Learning Approach
(University of Waterloo, 2019-05-23)Autonomous driving is a challenging domain that entails multiple aspects: a vehicle should be able to drive to its destination as fast as possible while avoiding collision, obeying traffic rules and ensuring the comfort ... -
Continual Learning and Forgetting in Deep Learning Models
(University of Waterloo, 2020-12-14)Continual learning is a framework of learning in which we aim to move beyond the limitations of standard isolated optimization of deep learning models toward a more intelligent setting, where models or agents are able to ... -
Deep Learning Based Approaches for Imputation of Time Series Models
(University of Waterloo, 2020-12-16)Market price forecasting models for Fresh Produce (FP) are crucial to protect retailers and consumers from highly priced FP. However, utilizing the data for forecasting is obstructed by the occurrence of missing values. ... -
Deep Learning-based Driver Behavior Modeling and Analysis
(University of Waterloo, 2019-12-17)Driving safety continues receiving widespread attention from car designers, safety regulators, and automotive research community as driving accidents due to driver distraction or fatigue have increased drastically over the ... -
Deep Representation Learning and Prediction for Forest Wildfires
(University of Waterloo, 2019-05-17)An average of 8000 forest wildfires occurs each year in Canada burning an average of 2.5M ha/year as reported by the Government of Canada. Given the current rate of climate change, this number is expected to increase each ... -
Deep SELECTOR-JPEG: ADAPTIVE JPEG IMAGE COMPRESSION FOR COMPUTER VISION IN IMAGE CLASSIFICATION AND HUMAN VISION
(University of Waterloo, 2021-01-18)Deep Neural Networks (DNNs) demonstrate excellent performance in many Computer Vision (CV) applications such as image classification. To meet storage/bandwidth requirements, the input images to these CV applications are ... -
End-to-End Multiview Gesture Recognition for Autonomous Car Parking System
(University of Waterloo, 2019-05-21)The use of hand gestures can be the most intuitive human-machine interaction medium. The early approaches for hand gesture recognition used device-based methods. These methods use mechanical or optical sensors attached ... -
Global-connected network with generalized ReLU activation
(Elsevier, 2019-12)Recent Progress has shown that exploitation of hidden layer neurons in convolutional neural networks (CNN) incorporating with a carefully designed activation function can yield better classification results in the field ... -
High-Frame-Rate Ultrasound Imaging Innovations for Complex Flow Quantification
(University of Waterloo, 2021-09-07)Vascular pathology such as atherosclerosis or arterial stiffening involves significant disruption in the blood flow dynamics found in the vasculature, with complex behavior such as jets and swirling typically seen in ... -
Histopathology Image Analysis and NLP for Digital Pathology
(University of Waterloo, 2021-08-27)Information technologies based on ML with quantitative imaging and texts are playing an essential role, particularly in general medicine and oncology. DL in particular has demonstrated significant breakthroughs in Computer ... -
Image/Video Compression: Human and Computer Vision Perspectives
(University of Waterloo, 2020-05-15)As we start a new decade, image and video compression should further improve to satisfy each of the human and computer visions. Human and computer visions have different perspectives on the perceived images and videos, ... -
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection
(University of Waterloo, 2022-02-09)The estimation of uncertainty in robotic vision, such as 3D object detection, is an essential component in developing safe autonomous systems aware of their own performance. However, the deployment of current uncertainty ... -
Multi-Agent Reinforcement Learning in Large Complex Environments
(University of Waterloo, 2022-07-15)Multi-agent reinforcement learning (MARL) has seen much success in the past decade. However, these methods are yet to find wide application in large-scale real world problems due to two important reasons. First, MARL ... -
Planning of Multi-Microgrids Considering Uncertainties and Spatial Characteristics
(University of Waterloo, 2023-03-13)Global warming is a serious issue that is being tackled from various fronts, one of them is the decarbonization of electrical energy systems, which may be addressed by introducing clean Distributed Energy Sources (DERs) ... -
Towards Explainable Generative Adversarial Networks
(University of Waterloo, 2022-05-09)As Generative Adversarial Networks become more and more popular for sample generation, the demand for human interpretable explanations have also skyrocketed. With the rising popularity of Generative Adversarial Networks ... -
Versatile Deep Learning Forecasting Application with Metamorphic Quality Assurance
(University of Waterloo, 2023-08-23)Accurate estimates of fresh produce (FP) yields and prices are crucial for having fair bidding prices by retailers along with informed asking prices by farmers, leading to the best prices for customers. To have accurate ... -
Virtual Assistant Design for Water Systems Operation
(University of Waterloo, 2020-01-23)Water management systems such as wastewater treatment plants and water distributions systems are big systems which include a multitude of variables and performance indicators that drive the decision making process for ... -
XC: Exploring Quantitative Use Cases for Explanations in 3D Object Detection
(University of Waterloo, 2022-01-18)Explainable AI (XAI) methods are frequently applied to obtain qualitative insights about deep models' predictions. However, such insights need to be interpreted by a human observer to be useful. In this thesis, we aim to ...