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Browsing Theses by Supervisor "Naik, Kshirasagar"
Now showing items 1-14 of 14
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Categorization and Detection of Energy Bugs and Application Tail Energy Bugs in Smartphones
(University of Waterloo, 2016-09-16)Smartphones are the most ubiquitous and popular hand-held devices because of their rich set of features and wide variety of services. However, their daily use is hampered by their high energy consumption, which forces ... -
Dataset Creation and Imbalance Mitigation in Big Data: Enhancing Machine Learning Models for Forest Fire Prediction
(University of Waterloo, 2023-10-19)Historically, forest fire prediction methods have leaned on heuristics, local insights, and basic statistical models, often neglecting the complex interplay of variables such as temperature, humidity, wind speed, and ... -
Design and Modeling of a Soil-Based Energy Harvester for Underground Wireless Sensor Nodes
(University of Waterloo, 2020-04-28)Wireless Sensor Networks (WSN) have emerged as a reliable and viable solution for monitoring complex large-scale strategic assets that are placed in harsh and hostile environments. Some of the major application areas include ... -
Forest Fire Prediction Using Heterogeneous Data Sources and Machine Learning Methods
(University of Waterloo, 2023-08-18)Forest fires pose a significant and urgent threat to ecosystems and human lives, necessitating accurate prediction for effective mitigation strategies. Predicting forest fires has been a longstanding challenge due to the ... -
LSTM Based Remaining Useful Life Prediction for Lithium-Ion EV Batteries
(University of Waterloo, 2024-04-19)Lithium-ion batteries are commonly used in electric vehicles (EVs) because of their high energy density, ability to provide good efficiency, and being lightweight. Predicting the Remaining Useful Life (RUL) is critical in ... -
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 ... -
A Methodology for Reliable Detection of Anomalous Behavior in Smartphones
(University of Waterloo, 2018-01-22)Smartphones have become the most preferred computing device for both personal and business use. Different applications in smartphones result in different power consumption patterns. The fact that every application has ... -
Modeling Power Consumption of Applications Software Running on Servers
(University of Waterloo, 2015-12-18)Reducing power consumption in computational processes is important to software devel- opers. Ideally, a tremendous amount of software design efforts goes into considerations that are critical to power efficiencies of ... -
Multipurpose Image Quality Assessment for Both Human and Computer Vision Systems via Convolutional Neural Network
(University of Waterloo, 2017-09-07)Computer vision algorithms have been widely used for many applications, including traffic monitoring, autonomous driving, robot path planning and navigation, object detection and medical image analysis, etc. Images and ... -
A Novel Real Time Charging Approach for Electric Vehicles in Smart Grids
(University of Waterloo, 2017-12-19)Integration of renewable energy sources (RES) into electric grids comes with significant challenges. The produced energy from renewable sources such as wind and solar is intermittent, non-dispatchable, and uncertain. The ... -
Real Time Tracking System and Data Reduction
(University of Waterloo, 2017-08-29)Today, for various purposes, vehicle tracking systems are used for determining the geographic location of vehicles and transmitting this information to a data center. For detecting the location, a GPS is used, and for the ... -
Real Time Vehicle Tracking System and Energy Reduction
(University of Waterloo, 2017-08-29)Technology has been growing rapidly and various fields of technology can be combined to advance societies. The Internet of Things (IoT) is one of these technologies that combines and connects a variety of things to come ... -
Study of Implementation of CNN on Low-power Platform for Smart Traffic Optimization
(University of Waterloo, 2017-08-31)Accompanied with the rise of smart city and the development of IoT (Internet of Things), people are looking forward to monitoring and regulating the traffic in a smarter way. Since the deep neural network has shown its ... -
A Study of Ranking Routes for Electrical Transmission Lines using Weighted Sum Model and Fuzzy Inference System
(University of Waterloo, 2020-01-22)Selecting a route is the first step in building a new electrical transmission line. The most common practice in selecting a route involves ranking possible route options, which is a complex process demanding many decision ...