Browsing Theses by Supervisor "Karray, Fakhri"
Now showing items 1-20 of 21
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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 ... -
Auto-Encoder based Deep Representation Model for Image Anomaly Detection
(University of Waterloo, 2020-08-31)Image anomaly detection is to distinguish a small portion of images that are different from the user-defined normal ones. In this work, we focus on auto-encoders based anomaly detection models, which assess the probability ... -
A Class of Augmented Convolutional Networks Architectures for Efficient Visual Anomaly Detection
(University of Waterloo, 2021-07-23)Visual anomaly detection, the task of isolating visual data that do not conform to the defined notion of normality, is very crucial for the autonomous functioning of entities with exceptional potential in a spectrum of ... -
Compression and Analysis of Pre-trained Language Model using Neural Slimming
(University of Waterloo, 2022-08-19)Neural networks are powerful solutions to help with decision making and solve complex problems in recent years. In the domain of natural language processing, BERT and its variants significantly outperform other network ... -
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 ... -
Data Reduction Algorithms in Machine Learning and Data Science
(University of Waterloo, 2021-02-19)Raw data are usually required to be pre-processed for better representation or discrimination of classes. This pre-processing can be done by data reduction, i.e., either reduction in dimensionality or numerosity (cardinality). ... -
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 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 ... -
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 ... -
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 ... -
Exemplar-based Kernel Preserving Embedding
(University of Waterloo, 2016-05-02)With the rapid increase of available data, it becomes computationally harder to extract useful information, specially in the case of high-dimensional data. Choosing a representative subset of the data can be useful to ... -
Grid-able Plug-in Electric Vehicles in Smart Grids: Incorporation into Demand Response
(University of Waterloo, 2016-01-22)Electric transportation has attracted a great deal of interest within the transport sector because of its notable potential to become a low-carbon substitute for conventional combustion engine vehicles. However, widespread ... -
Information Fusion Methodology for Enhancing Situation Awareness in Connected Cars Environment
(University of Waterloo, 2016-01-19)This dissertation introduces novel approaches to develop a comprehensive model to address situation awareness in the Internet of Cars, called Attention Assist Framework (AAF). The proposed framework utilizes both Low-Level ... -
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, ... -
Machine Learning based Models for Fresh Produce Yield and Price Forecasting for Strawberry Fruit
(University of Waterloo, 2020-06-02)Building market price forecasting models of Fresh Produce (FP) is crucial to protect retailers and consumers from highly priced FP. However, the task of forecasting FP prices is highly complex due to the very short shelf ... -
Noise Robust Keyword Spotting Using Deep Neural Networks For Embedded Platforms
(University of Waterloo, 2016-01-21)The recent development of embedded platforms along with spectacular growth in communication networking technologies is driving the Internet of things to thrive. More complex tasks are now possible to operate in small devices ... -
On the Design of Efficient Deep Learning Methods for Human Activity Recognition in Resource Constrained Devices
(University of Waterloo, 2023-04-05)Human Activity Recognition (HAR) is the process of automatic recognition of Activities of Daily Life (ADL) from human motion data captured in various data modalities by wearable and ambient sensors. Advances in deep ... -
Scalable Topic Detection Approaches fromTwitter Streams
(University of Waterloo, 2016-04-29)Real time topic detection in Twitter streams is an important task that helps discovering natural disasters in a real time from users’ posts and helps political parties and companies understand users’ opinions and needs. ... -
Scene Representations for Generalizable Novel View Synthesis
(University of Waterloo, 2023-04-04)Novel view synthesis involves generating novel views of a scene when seen from different viewpoints. It offers numerous applications in computer vision domains such as telepresence, virtual reality, re-cinematography, etc. ... -
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 ...