Browsing Engineering (Faculty of) by Subject "artificial neural network"
Now showing items 1-10 of 10
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Cuffless Blood Pressure Monitoring: Estimation of the Waveform and its Prediction Interval
(University of Waterloo, 2021-12-21)Cuffless blood pressure (BP) estimation devices are receiving considerable attention as tools for improving the management of hypertension, a condition that affects 1.13 billion people worldwide. It is an approach that can ... -
Machine Learning Methods for Annual Influenza Vaccine Update
(University of Waterloo, 2013-04-30)Influenza is a public health problem that causes serious illness and deaths all over the world. Vaccination has been shown to be the most effective mean to prevent infection. The primary component of influenza vaccine is ... -
Machine Learning-Based Time Series Modelling with Applications for Forecasting Regional Wind Power and Air Quality Index
(University of Waterloo, 2021-08-27)Recently, time series forecasting has acquired a considerable academic and industrial interest in various areas for different applications. Machine learning (ML) algorithms are known for their ability to capture the chaotic ... -
A Mixed Signal 65nm CMOS Implementation of a Spiking Neural Network
(University of Waterloo, 2022-08-26)Spiking neural networks (SNNs) are an emerging class of biologically inspired Artificial Neural Networks implemented in machine learning and artificial intelligence. Current state-of-the-art small- and large-scale SNNs ... -
Modelling and Optimization of a Pilot-Scale Entrained Flow gasifier using Artificial Neural Networks
(University of Waterloo, 2020-03-04)In this research, the construction and validation of both ANN and RNN models was presented to accurately and efficiently predict both steady state and dynamic performance of a pilot-scale gasifier unit. The corresponding ... -
Modelling and optimization of a pilot-scale entrained-flow gasifier using artificial neural networks
(Elsevier, 2019-12-01)This paper explores the construction and validation of an artificial neural network (ANN) in order to accurately and efficiently predict the performance of a pilot-scale gasifier unit. This ANN model consists of multiple ... -
Nonlinear model predictive control of a multiscale thin film deposition process using artificial neural networks
(Elsevier, 2019-11-02)The purpose of this study was to employ Artificial Neural Networks (ANNs) to develop data-driven models that would enable the shrinking horizon nonlinear model predictive control of a computationally intensive stochastic ... -
Predictive models and detection methods applicable in water detection framework for industrial electric arc furnaces
(Elsevier, 2019-09-02)This paper introduces the development of empirical predictive models and detection methods that are incorporated into a water detection framework for an industrial steelmaking electric arc furnace (EAF). The predictive ... -
RRAM in High-speed TCAM Design and Its Applications with New Switching Materials
(University of Waterloo, 2022-05-17)With the continuous scaling of transistor devices reaching their physical limits, emerging non-volatile memory (eNVM) devices such as resistive random-access memory (RRAM) is considered one of the alternatives to maintain ... -
Water Detection Framework for Industrial Electric Arc Furnaces
(University of Waterloo, 2016-12-23)This thesis develops a framework for water detection in an industrial electric arc furnace. The objective of the framework is to prevent water leak furnace explosions. This framework consists of a hybrid algorithm and a ...