Browsing Dissertations & Theses by Title
Now showing items 239-258 of 596
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Faster Sampling Over Theoritical And Online Social Networks
Online social networks have become very popular recently and are used bymillions of users. Researchers increasingly want to leverage the rich variety ofinformation available. However, social networks often feature a web ... -
FAULT DETECTION AND LOCALIZATION TECHNIQUES FOR CONCURRENT PROGRAMS
(2016-12-21)Concurrency faults are hard to detect and localize due to the nondeterministic behavior of concurrent programs. In this dissertation, we present three approaches to detecting and localizing faults in concurrent programs. ... -
FAULT LOCALIZATION BASED ON COMBINATORIAL TESTING
(2016-05-10)Combinatorial testing is a software testing strategy that has received a significant amount of attention from academia and industry. After executing a combinatorial test set, the execution status, i.e., pass or fail, of ... -
Feature Extraction In Noise-Diverse Environments For Human Activities Recognition Using Wi-Fi
(2019-12-04)With the rapid development of 802.11 standard and Internet of Things (IoT) applications, Wi-Fi (IEEE 802.11) has emerged as the most widely used wireless communication technology. Wi-Fi based sensing has found widespread ... -
FEATURE SELECTION AND DATA RECONSTRUCTION VIA ROBUST AND FLEXIBLE LEARNING MODELS
(2020-05-16)Feature selection and data reconstruction are very important topics in machine learning area. In today's big data environment, many data could have high dimensions and come with noise, corruption, etc. Thus, we develop ... -
Finding Blood In Capsule Endoscopy Video
(Computer Science & Engineering, 2007-08-23)Capsule Endoscopy (CE) is a new procedure where endoscopists can visualize and discriminate anomalies of the human gastrointestinal track by allowing the patient to swallow a camera pill. The digital video obtained from ... -
Finding Representative Entities From Entity Graph By Using Neighborhood Based Entity Similarity
(2018-09-17)Several applications deploy the use of large entity graphs. Given the entirety of its application scope, it is challenging to select a single entity graph for a particular need from numerous data sources. For a comprehensible ... -
Flash Crowd Mitigation System
(Computer Science & Engineering, 2007-09-17)Flash crowd means that a web server suffers a sudden surge of traffic since a large number of Internet users access the web server simultaneously. Once a flash crowd occurs in a web server, the response rate for the HTTP ... -
FrameAnnotator - A Web-Based Frame Semantic Annotation Tool
(2019-05-14)News headlines around the world are alarming. They aim to trigger emotional responses from the consumer. In an era where news and social media posts spread so quickly, it is often difficult to distinguish between what is ... -
A Framework For A Dynamic Invocation Interface And High-level Interoperability For Mobile Agent Platforms
(Computer Science & Engineering, 2007-08-23)The mobile agent paradigm for distributed systems is inherently suitable for many applications ranging from network management to e-commerce. One inherent problem to its wide spread use is communication between disparate ... -
A Framework For Improving The Performance Of Application Servers In Next Generation Networks (NGNs)
(Computer Science & Engineering, 2007-09-17)Next generation networks (NGNs) such as IP Multimedia Subsystem (IMS) are completely built on the Internet Protocol (IP) suite. This has made IP the de facto standard for data networking, voice over IP (VoIP), and media ... -
A Framework For Model Checking Object Oriented Security Protocol Implementations
(Computer Science & Engineering, 2007-08-23)With the rapid growth of the Internet, more and more vendors see the Internet as a viable marketplace. Since the Internet is public, providing security in the presence of malicious intruders has become paramount. Security ... -
A Framework For Real-time Fault Detection And Response In Multi-agent Teams
(Computer Science & Engineering, 2011-03-03)This thesis details the creation of a fault detection and response framework that can be applied to mobile multi-agent teams. This framework unites existing concepts of conditioned based maintenance and real-time machine ... -
A Framework For Robust Detection And Prevention Of Wide-spread Node Compromise In Wireless Sensor Networks
(Computer Science & Engineering, 2010-07-19)Wireless sensor networks are known to be vulnerable to a variety ofattacks that could undermine normal sensor network operations. Manyschemes have been developed to defend the wireless sensor networksagainst various attacks. ... -
A Framework For Supporting Quality Of Service Requirements In A Data Stream Management System
(Computer Science & Engineering, 2007-08-23)Currently, a large class of data-intensive applications, in which data are presented in the form of continuous data streams rather than static relations, has been widely recognized in the database community. Not only is ... -
FRAMEWORKS, ALGORITHMS, AND SYSTEMS FOR EFFICIENT DISCOVERY OF DATA-BACKED FACTS
(2017-12-07)This thesis studies the problem of finding facts from semi-structured and structured data. The amount of data in our world is exploding, and the proliferation of data is making them increasingly inaccessible. It is now ... -
FROM BODY TO BRAIN: USING ARTIFICIAL INTELLIGENCE TO IDENTIFY USER SKILLS & INTENTIONS IN INTERACTIVE SCENARIOS
(2019-04-23)Artificial Intelligence has probably been the most rapidly evolving field of science during the last decade. Its numerous real-life applications have radically altered the way we experience daily-living with great impact ... -
From Phenotype To Genotype: A Structured Sparse Learning Framework For Imaging Genetics Studies
(Computer Science & Engineering, 2013-03-20)Sparsity is one of the intrinsic properties of real-world data, thus sparse representation based learning models have been widely used to simplify data modeling and discover predictive patterns. By enforcing properly ... -
FROM TEXT CLASSIFICATION TO IMAGE CLUSTERING, PROBLEMS LESS OPTIMIZED
(2018-06-11)Machine Learning is thriving. Every industry is using its techniques in some way to improve their efficiency and revenue. However, the focus on research is not divided equally between all of the different areas and problems ... -
Fuzz Testing of Zigbee Protocol Implementations
(2023-07-12)In recent years, we have witnessed the increasing of the Internet of Things (IoT) devices deployed by many areas, such as home automation, healthcare, manufacture, and smart vehicle. Among the numerous IoT wireless standards ...