Browsing Electrical and Computer Engineering by Subject "Machine learning"
Now showing items 1-8 of 8
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Adaptive Streaming: From Bitrate Maximization to Rate-Distortion Optimization
(University of Waterloo, 2021-09-30)The fundamental conflict between the increasing consumer demand for better Quality-of-Experience (QoE) and the limited supply of network resources has become significant challenges to modern video delivery systems. Stat ... -
Comprehensive study of physical unclonable functions on FPGAs: correlation driven Implementation, deep learning modeling attacks, and countermeasures
(University of Waterloo, 2020-06-09)For more than a decade and a half, Physical Unclonable Functions (PUFs) have been presented as a promising hardware security primitive. The idea of exploiting variabilities in hardware fabrication to generate a unique ... -
Cyber-Physical Security of Power Distribution Systems
(University of Waterloo, 2019-02-07)Smart grids have been witnessing continuous and rapid radical developments in the recent years. With the aim towards a more sustainable energy system, the share of distributed generation resources is ever-increasing and ... -
Detection of Anomalous Behavior of Wireless Devices using Power Signal and Changepoint Detection Theory.
(University of Waterloo, 2020-01-10)Anomaly detection has been applied in different fields of science and engineering over many years to recognize inconsistent behavior, which can affect the regular operation of devices, machines, and even organisms. The ... -
Intelligent Microwaves-Based Modalities for Breast Cancer Detection
(University of Waterloo, 2020-03-13)Breast cancer is considered to be one of the major causes of mortality in women worldwide. Detection of breast tumors in their early stage is the key factor for possible successful treatment and can significantly reduce ... -
Machine Learning Based Data Driven Modelling of Time Series of Power Plant Data
(University of Waterloo, 2020-04-28)Accurate modeling and simulation of data collected from a power plant system are important factors in the strategic planning and maintenance of the unit. Several non-linearities and multivariable couplings are associated ... -
Machine Learning for SAT Solvers
(University of Waterloo, 2018-12-07)Boolean SAT solvers are indispensable tools in a variety of domains in computer science and engineering where efficient search is required. Not only does this relieve the burden on the users of implementing their own search ... -
A New Design of Multiple Classifier System and its Application to Classification of Time Series Data
(University of Waterloo, 2007-09-24)To solve the challenging pattern classification problem, machine learning researchers have extensively studied Multiple Classifier Systems (MCSs). The motivations for combining classifiers are found in the literature from ...