Browsing Engineering (Faculty of) by Subject "time series"
Now showing items 1-9 of 9
-
Affine and Regional Dynamic Time Warping
(University of Waterloo, 2014-11-11)Time series are a ubiquitous form of data prevalent in everyday life, and their analysis has gathered immense interest in many domains. Pointwise matches between two time series are of great importance in time series ... -
A Comparative Study of Univariate Time-series Methods for Sales Forecasting
(University of Waterloo, 2020-01-16)Sales time-series forecasters, data scientists and managers often use timeseries forecasting methods to predict sales. Nonetheless, it is still a question which time-series method a forecaster is best off using, if they ... -
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. ... -
Distance Measures for Probabilistic Patterns
(University of Waterloo, 2020-01-07)Numerical measures of pattern dissimilarity are at the heart of pattern recognition and classification. Applications of pattern recognition grow more sophisticated every year, and consequently we require distance measures ... -
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 ... -
Modeling Continuous Emotional Appraisals of Music Using System Identification
(University of Waterloo, 2004)The goal of this project is to apply system identification techniques to model people's perception of emotion in music as a function of time. Emotional appraisals of six selections of classical music are measured from ... -
Multivariate Time Series Data Causal Discovery
(University of Waterloo, 2021-10-05)One of the goals for Artificial Intelligence is to achieve human-like intelligence. To that end, several solutions were proposed over the decades, where causal structure discovery was proposed as a viable tool for enabling ... -
Using Machine Learning to Understand the Hydrologic Impacts of Permafrost Thaw-Driven Land Cover Change
(University of Waterloo, 2023-04-25)Discontinuous permafrost regions are experiencing a change in land cover distribution as a result of permafrost thaw. In wetlands interspersed with discontinuous permafrost, climate change is particularly problematic because ... -
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 ...