Browsing MS Theses - DO NOT EDIT by Title
Now showing items 76-95 of 355
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DAS page replacement algorithm
(2020-06-04)There are different page replacement algorithms and yet there seems to be some drawbacks in them, making no page replacement algorithm ideal. To be one step closer to achieving the ideal algorithm it is vital to have a ... -
Data Discovery Analysis on Complex Time Series Data
(2022-12-20)Complex time series are a ubiquitous form of data in the modern world. They have wide application across many different fields of scientific inquiry and business endeavor. Time series are used to understand and forecast ... -
Data-Driven Modeling of Heterogeneous Multilayer Networks For Computing Communities Using Bipartite Graphs
(2019-08-12)Today, more than ever, data modeling and analysis play a vital role for enterprises in terms of finding actionable business intelligence. Data is being collected on a large scale from multiple sources hoping they can be ... -
DECOUPLING-BASED APPROACH TO CENTRALITY DETECTION IN HETEROGENEOUS MULTILAYER NETWORKS
(2021-08-13)Graph analysis is one of the techniques widely used for data analysis. It is used extensively on single graphs. Its ability to capture entities and relationships makes it an attractive data model. Search on graphs, such ... -
DEDUPLICATION-AWARE PAGE CACHE IN LINUX KERNEL FOR IMPROVED READ PERFORMANCE
(2019-12-16)The amount of data being produced and consumed is increasing every day. As a result, there can be a large amount of redundant data in the storage system. Storing and accessing these duplicate data unnecessarily consumes ... -
Deep Learning Based Multi-Label Classification for Surgical Tool Presence Detection in Laparoscopic Videos
(2017-08-07)Laparoscopic surgery, Modern surgery, where the surgery is performed far away from the patient by inserting small incisions on the patient's body and the surgery is performed with a help of a video recorder and through ... -
Deep Reinforcement Learning-based Portfolio Management
(2019-05-16)Machine Learning is at the forefront of every field today. The subfields of Machine Learning called Reinforcement Learning and Deep Learning, when combined have given rise to advanced algorithms which have been successful ... -
Deep Representation Learning for Clustering and Domain Adaptation
(2019-12-05)Representation learning is a fundamental task in the area of machine learning which can significantly influence the performance of the algorithms used in various applications. The main goal of this task is to capture the ... -
DEEPSIGN: A DEEP-LEARNING ARCHITECTURE FOR SIGN LANGUAGE
(2018-11-13)Sign languages are used by deaf people for communication. In sign languages, humans use hand gestures, body, facial expressions and movements to convey meaning. Humans can easily learn and understand sign languages, but ... -
Delay Tolerant Lazy Release Consistency For Distributed Shared Memory In Opportunistic Networks
(Computer Science & Engineering, 2011-10-11)Opportunistic networking (ON), a concept which allows a mobile wireless device to dynamically interact with other wireless devices in its immediate vicinity, is a field with great potential to improve the utility of itinerant ... -
Design And Analysis Of A Mobile File Sharing System For Opportunistic Networks
(Computer Science & Engineering, 2009-09-16)In the past several years, wireless mobile devices with advanced computing, sensing, and storing capabilities have been increasingly developed by handset manufacturers, deployed by wireless carriers, and accepted by ... -
Design And Analysis Of Application Architecture For Opportunistic Networks Using Ad Hoc Wi-Fi
(Computer Science & Engineering, 2010-03-03)In recent years, the number of smartphone users has increased by many folds. In fact, it is estimated to reach 100 million by 2013. Current generation of smartphones has better storage, battery, computing capabilities and ... -
Design And Implementation Of An Open Beaconing Architecture For Internet Of Things
The power of the Internet is penetrating into the physical world with ever increasing speed and expanding reach under the general concept of Internet of Things. Extensive sets of efforts have been devoted toward establishing ... -
DESIGN OF HAPTICALLY ENABLED WHEELCHAIR FOR ASSISTIVE AUTONOMY
(2018-05-14)The first records of wheeled seats being used for transporting disabled people date to 8th century in China, however the wheelchair has evolved tremendously since its inception. An electric-powered wheelchair, commonly ... -
DETECT TRAFFIC SIGNS FROM LARGE STREET VIEW IMAGES WITH DEEP LEARNING
(2019-12-10)Autonomous driving is about to shaping the future of our life. Self-driving vehicles produced by Waymo or many other companies have demonstrated excellent driving capabilities on the road. However, accidents still happen. ... -
Detecting Medication Consumption Patterns In Assistive Environments
(Computer Science & Engineering, 2010-11-01)One of the issues in healthcare systems or medical information systems is the reduction of medical errors to ensure patient safety. Our approach is to develop a cyber physical system which applies different RFID tags to ... -
Detecting Real-time Check-worthy Factual Claims in Tweets Related to U.S. Politics
(2015-12-07)In increasing democracy and improving political discourse, political fact-checking has come to be a necessity. While politicians make claims about facts all the time, journalists and fact-checkers oftentimes reveal them ... -
Detection and classification of object presence and characteristics in a water container using high frequency ultrasound
(2022-05-17)Detection and characterization of soluble, diffuse, and solid objects and their characteristics in water has important implications in various applications, including water quality assessment and incontinence monitoring ... -
Detection Of Fingers With A Depth Based Hand-detector In Static Frames
(Computer Science & Engineering, 2013-10-23)This thesis presents a method for a finger detection system. It is assumed that the user taps their fingers on a table, and that the camera is placed on the same table in front of their fingers. This setup is motivated by ... -
Development And Simulation Of Focus Of Attention Using Reinforcement Learning And Function Approximation
(Computer Science & Engineering, 2013-10-22)Without short-term memory, people would have little hope to learn and accomplish tasks. The same can be said for artificially intelligent agents. Often referred as Miller's Law, the number of working objects that a human ...