Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Artificial Intelligence and Robotics (42)
- Data Science (16)
- Engineering (11)
- Other Computer Sciences (8)
- Computer Engineering (7)
-
- Life Sciences (7)
- Graphics and Human Computer Interfaces (6)
- Software Engineering (6)
- Information Security (5)
- Social and Behavioral Sciences (5)
- Agriculture (4)
- Cybersecurity (4)
- Databases and Information Systems (4)
- Medicine and Health Sciences (4)
- Systems Architecture (4)
- Theory and Algorithms (4)
- Communication (3)
- Numerical Analysis and Scientific Computing (3)
- Social Media (3)
- Statistics and Probability (3)
- Art and Design (2)
- Arts and Humanities (2)
- Bioinformatics (2)
- Business (2)
- Electrical and Computer Engineering (2)
- Law (2)
- OS and Networks (2)
- Robotics (2)
- Keyword
-
- Machine learning (45)
- Deep learning (42)
- Computer vision (18)
- Neural networks (10)
- Reinforcement learning (9)
-
- Security (8)
- Artificial intelligence (6)
- Big data (6)
- Combinatorial testing (6)
- Data mining (6)
- Fact-checking (6)
- Graph neural networks (6)
- Privacy (6)
- Robotics (6)
- Classification (5)
- Clustering (5)
- Convolutional neural networks (5)
- Crowdsourcing (5)
- Drug discovery (5)
- MapReduce (5)
- Misinformation (5)
- Semi-supervised learning (5)
- Transfer learning (5)
- Twitter (5)
- Analysis (4)
- Android (4)
- Cloud computing (4)
- Deep Learning (4)
- Graph mining (4)
- Malware (4)
- Publication Year
- Publication
-
- Computer Science and Engineering Theses - Archive (365)
- Computer Science and Engineering Dissertations - Archive (271)
- Computer Science and Engineering Dissertations (7)
- 2025 Spring Honors Capstone Projects - Archive (6)
- Computer Science and Engineering Datasets - Archive (3)
-
- 2024 Fall Honors Capstone Projects - Archive (2)
- Computer Science and Engineering Student Research - Archive (2)
- 2024 Spring Honors Capstone Projects - Archive (1)
- 2025 Fall Honors Capstones Projects - Archive (1)
- Agriculture (1)
- Agriculture - Archive (1)
- Electrical Engineering Theses - Archive (1)
- Event-Based Vision - Archive (1)
- Information Systems & Operations Management Dissertations - Archive (1)
- Management Dissertations (1)
- Mavs Open Press Open Educational Resources (1)
- Physics Dissertations - Archive (1)
- Publication Type
- File Type
Articles 451 - 480 of 666
Full-Text Articles in Computer Sciences
Generalized Reinforcement Learning With An Application In Generic Workload Management Systems, Po-Hsiang Chiu
Generalized Reinforcement Learning With An Application In Generic Workload Management Systems, Po-Hsiang Chiu
Computer Science and Engineering Dissertations - Archive
Learning by trial and error and being able to form levels of abstraction from the past experience has been an important factor for sentient beings to develop intelligent behaviors and cope with an ever-changing environment. Complex control domains, in a similar way, often require the interacting agents to learn adaptive control strategies for time-varying or potentially evolving systems. This dissertation will begin by investigating an example of complex domains, Grid computing networks, through a collaborative effort in the design and implementation of a generic workload management system, PanDA-PF WMS used in the ATLAS experiment. With the incentive of boosting the …
Delay Tolerant Lazy Release Consistency For Distributed Shared Memory In Opportunistic Networks, Chance Ray Eary
Delay Tolerant Lazy Release Consistency For Distributed Shared Memory In Opportunistic Networks, Chance Ray Eary
Computer Science and Engineering Theses - Archive
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 computational platforms. While ONs increase a device's ability to interact with its peers, the fleeting and intermittent connections between devices make many traditional computer collaboration paradigms, such as distributed shared memory (DSM), virtually untenable. DSM systems, developed for traditional networks, rely on relatively stable, consistent connections among participating nodes. In an ON, connectivity among nodes is distributed in time and space making it useful for delay …
Sybil Defense For Online Social Networks Using Partial Graph Information, Vritant Naresh Jain
Sybil Defense For Online Social Networks Using Partial Graph Information, Vritant Naresh Jain
Computer Science and Engineering Theses - Archive
Online social networks (OSNs) today are proprietary, in the sense that communication between users requires the users to be part of the same OSN. This raises privacy issues and reliability concerns among users, and calls for an open, interoperable, and distributed OSN infrastructure that is similar to email and would link different OSNs together. Any decentralized system, however, is vulnerable to Sybil attacks, in which an attacker claims multiple identities, called Sybils, to overwhelm the OSNs and defeat standard techniques used to protect against attacks such as message spam. The state of the art defense against these attacks is SybilInfer, …
Performance Tuning Of An Embedded Template Analysis Tool, Ashwin Arikere
Performance Tuning Of An Embedded Template Analysis Tool, Ashwin Arikere
Computer Science and Engineering Theses - Archive
As multi core processors become ubiquitous, programs must be designed to utilize the additional power at their disposal. Extracting maximum performance out of these processors requires utilizing latest parallel programming techniques as well as using the latest tools available to increase performance. This thesis delves into enhancing performance of existing programs by applying parallel techniques, utilizing performance analyzers and various other tools developed specially for multi-core system programming. We discuss these techniques and tools and also demonstrate how a Template Analysis program was modified to take advantage of the additional power a multi-core machine has over single core machines to …
Automatic Discovery Of Significant Events From Databases, Avinash Shankar Bharadwaj
Automatic Discovery Of Significant Events From Databases, Avinash Shankar Bharadwaj
Computer Science and Engineering Theses - Archive
The advent of the internet has caused enormous amounts of data available online causing many significant facts to be hidden within this data. Searching for a significant fact within these large datasets is a query intensive process involving large amounts of queries which needs to be executed hence slowing the process of finding the significant facts from a large dataset. In this thesis, a novel approach has been designed exploiting the mathematical characteristics of the data present in the dataset to reduce the number of queries on the dataset. A two phased approach is considered for making fact finding more …
Scalable Parallel Processing Of Multi-Objective Optimized Dna Sequence Assembly, Munib Ahmed
Scalable Parallel Processing Of Multi-Objective Optimized Dna Sequence Assembly, Munib Ahmed
Computer Science and Engineering Dissertations - Archive
Bioinformatics is an emerging branch of science where issues pertaining to molecular biology are evaluated and resolved by leveraging the techniques and algorithms devised in the field of computer science. Most of these issues are due to the enormous amount of data and the computational complexity involved in generating expeditious and qualitatively viable solutions. This poses a challenge to the algorithm developers who must strive to achieve multiple conflicting objectives of processing very large dataset with the highest accuracy possible while keeping the execution time to a minimum. Genome assembly is one such problem in bioinformatics where a DNA sequence …
Accurate And Cost Efficient Object Localization Using Passive Uhf Rfid, Jae Sung Choi
Accurate And Cost Efficient Object Localization Using Passive Uhf Rfid, Jae Sung Choi
Computer Science and Engineering Dissertations - Archive
In a smart environment, accurate locations of objects are a fundamental and critical issue. To achieve this goal, we present several methods based on passive far-field UHF RFID technologies, which can satisfy accuracy, robustness and reliability, cost efficiency, simplicity, compatibility, and scalability. Our research overcomes several negative characteristics of the use of cost efficient passive UHF RFID. Our research has several important contributions.First, we study the causes of the problems of using passive UHF RFID in localization, with detailed empirical results, and then, present the impacts of the causes on existing localization techniques such as KNN. Second, we present a …
Adaptive High Level Context Reasoning In Pervasive Environments, Bridget B. Beamon
Adaptive High Level Context Reasoning In Pervasive Environments, Bridget B. Beamon
Computer Science and Engineering Dissertations - Archive
It is hard to believe that the Internet is now in its adolescent stage. This information age is replete with communication capable, intelligent, sensor equipped devices. Social networks, web services, and global information repositories make a wealth of information available instantly. There exist endless possibilities for creating useable knowledge. Much of what is considered useable knowledge is not directly observable from low level sensory devices. Abstract situations, relationships and activities must be inferred using a variety of techniques that fuse information from multivariate data sources. We refer to this useable knowledge as high level context. Social, physiological, environmental, computational, activity, …
Recommender Systems: An Algorithm To Predict "Who Rate What", Rahul Singhal
Recommender Systems: An Algorithm To Predict "Who Rate What", Rahul Singhal
Computer Science and Engineering Theses - Archive
Recommender systems are systems that recommend content for us by looking at certain factors including what other people are doing as well as what we are doing. Examples of such systems present today are Amazon.com recommending books, CDs, and other products; Netflix recommending movies etc. These systems basically recommend items or movies to customers based on the interests of the present customer and other similar customers who purchased or liked the same item or movie. Our paper goes beyond the concept of overall generic ranking and provides personalized recommendation to users. Despite all the advancements, recommender systems still face problems …
Typifying Wikipedia Articles, Quazi Mainul Hasan
Typifying Wikipedia Articles, Quazi Mainul Hasan
Computer Science and Engineering Theses - Archive
In Wikipedia, each article represents an entity. Entity can have different types like person, country, school, science etc. Although Wikipedia encapsulates category information for each page, sometimes it is not sufficient to deduce the type of a page just from its categories. But, incorporating the clear type information in a Wikipedia page is very important for the users, as it will help them to explore the pages in more organized way. Hence, in my thesis, we explore different standard classification techniques, mainly Naïve Bayes and Support Vector Machines and experiment how these techniques can be made more effective for typifying …
A Comparison And Evaluation Of Motion Indexing Techniques, Harnish Bhatia
A Comparison And Evaluation Of Motion Indexing Techniques, Harnish Bhatia
Computer Science and Engineering Theses - Archive
Motion capture (mocap) is a way to digitally represent the spatio-temporalstructure of human movement. Human motion is generally captured in long sequences to record the natural and complex aspects of human actions, its sequential transitions, and simultaneous combination. As the amount of mocap data increases, it becomes important to index the data in order to improve the performance of information access. The motion indexing problem involves several challenging issues due to the data being high dimensional, continuous, and time-variant. Indexing provides the means to search for similar motion in a mocap database, to recognize a query action as one among …
Data Analytics Over Hidden Databases, Arjun Dasgupta
Data Analytics Over Hidden Databases, Arjun Dasgupta
Computer Science and Engineering Dissertations - Archive
Web based access to databases have become a popular method of datadelivery. A multitude of websites provides access to their proprietary datathrough web forms. In order to view this data, customers use the web forminterface and pose queries on the underlying database. These queries areexecuted and a resulting set of tuples (usually the top-k ones) is served to thecustomer. Top-k along with strict limits on querying are constraints used by thedatabase providers to conserve the power of the underlying data distribution.Delivering limited access only to tuples that satisfy a query enables providers toexpose only a small snippet of the entire …
Enhancing Personalized Search And Improving Accuracy And Performance For Keyword-Based Xml Queries, Kamal Taha
Enhancing Personalized Search And Improving Accuracy And Performance For Keyword-Based Xml Queries, Kamal Taha
Computer Science and Engineering Dissertations - Archive
This dissertation research focuses on three aspects related to querying of XML data. The three focus areas are: (1) Improving accuracy of XML keyword queries by modeling the contexts of XML elements; (2) Enhancing XML-based personalized search by using group profiling to determine individual preferences; and (3) Improving performance of distributed XML querying by caching of frequently-used query results. For each of these three focus areas, we developed formal concepts and algorithms that lead to the improved accuracy and performance. Our contributions are as follows:1. Improving the accuracy of XML keyword queries:We improve search accuracy by utilizing nodes' contexts in …
A Framework For Robust Detection And Prevention Of Wide-Spread Node Compromise In Wireless Sensor Networks, Jun-Won Ho
A Framework For Robust Detection And Prevention Of Wide-Spread Node Compromise In Wireless Sensor Networks, Jun-Won Ho
Computer Science and Engineering Dissertations - Archive
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. Most of them focus on making the networkand service protocols be attack-resilient rather than rooting outthe source of attacks. Although the attack-resiliency approachmitigates the threats on sensor network protocols, it requiressubstantial time and effort for continuously enhancing therobustness of the protocols in line with the emergence of newtypes of attacks. Accordingly, if we are able to detect and removethe sources of attacks as soon as possible, we could save …
Distributed Services In Pervasive Systems, Sagar A. Tamhane
Distributed Services In Pervasive Systems, Sagar A. Tamhane
Computer Science and Engineering Dissertations - Archive
Devices in pervasive systems are generally resource constrained, heterogeneous, personal, and mobile. These constraints limit the services and quality of service offered by the devices. For example, execution of such tasks as video and audio processing might not be possible or successful on cell phones, PDAs and sensors. Hence interactions between devices are exploited to perform collaborative task execution. Devices with better resource levels perform tasks on behalf of other devices. This dissertation provides algorithms for cooperative service executions in pervasive environments. The major contributions of this dissertation are: (1) Cluster Based Scheduling (CBS) algorithm that performs service scheduling in …
Context Reasoning Under Uncertainty Based On Evidential Fusion Networks In Home-Based Care, Hyun Lee
Context Reasoning Under Uncertainty Based On Evidential Fusion Networks In Home-Based Care, Hyun Lee
Computer Science and Engineering Dissertations - Archive
Pervasive computing technologies use embedded intelligent systems to enable various real-time applications. Some of these applications are: continuous healthcare monitoring, autonomous diagnosis and treatment, and remote disease management without spatial-temporal limitations. Additional healthcare applications include home-based care, disaster relief management, medical facility management, and sports health management. Issues related to the pervasive healthcare are generally classified into five categories: Hardware, Software, Regulations, Standardization and Organization. Our focus in this dissertation is on software issues. We propose new methods to generate a reliable context in a pervasive information system that has high rates of new measurements over time using data aggregation …
Selective Cross Correlation In Passive Timing Analysis Attacks Against Low-Latency Mixes, Titus Abraham
Selective Cross Correlation In Passive Timing Analysis Attacks Against Low-Latency Mixes, Titus Abraham
Computer Science and Engineering Theses - Archive
A mix is a communication proxy that hides the relationship between incoming and outgoing messages. Routing traffic through a path of mixes is a powerful tool for providing privacy. When mixes are used for interactive communication, such as VoIP and web browsing, attackers can undermine user privacy by observing timing information along the path. Mixes can prevent these attacks by inserting dummy packets (cover traffic) to obfuscate timing information in each stream. Two recently proposed defenses, defensive dropping and adaptive padding, enhance cover traffic by ensuring that timing information seen at the sender is very different from that seen at …
Towards Modeling The Behavior Of Physical Intruders In A Region Monitored By A Wireless Sensor Network, Pranav Krishnamoorthy
Towards Modeling The Behavior Of Physical Intruders In A Region Monitored By A Wireless Sensor Network, Pranav Krishnamoorthy
Computer Science and Engineering Theses - Archive
A priority task for homeland security is the coverage of large spans of open border that cannot be continuously physically monitored for intrusion. Low-cost monitoring solutions based on wireless sensor networks have been identified as an effective means to perform perimeter monitoring. An ad-hoc wireless sensor network scattered near a border could be used to perform surveillance over a large area with relatively little human intervention. Determining the effectiveness of such an autonomous network in detecting and thwarting an intelligent intruder is a difficult task. We propose a model for an intelligent attacker that attempts to find a detection-free path …
Detecting Medication Consumption Patterns In Assistive Environments, Jyothi K. Vinjumur
Detecting Medication Consumption Patterns In Assistive Environments, Jyothi K. Vinjumur
Computer Science and Engineering Theses - Archive
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 monitor medicine consumption and its impact in an assistive environment. This approach talks about detecting the medication intake pattern in an assistive environment and implements an application oriented experimental research which tracks the drug consumption pattern using RFID readers and tags, motion sensors, a wireless sensor mote and a weight sensor. In this approach, an energy efficient technique by using multiple sensor devices which …
High Performance Real-Time Embedded Systems: Design And Implementation Of Road Surface Analyzer System, Jareer Hamzah Ali Abdel Qader
High Performance Real-Time Embedded Systems: Design And Implementation Of Road Surface Analyzer System, Jareer Hamzah Ali Abdel Qader
Computer Science and Engineering Dissertations - Archive
Multi-core processors are becoming main components for many embedded systems. Designing such embedded systems is a complex task, since developers must deal with a number of issues such as multi-threading and optimal use of parallel processing. Multi-core processors can provide benefits to embedded applications in terms of performance improvement and power utilization. Problems related to real-time embedded systems in terms of designing, modeling, simulating, and implementing both hardware and software parts of embedded systems will be researched and discussed in this work. This research investigates and establishes the necessary steps to design, analyze, and implement a real-time embedded multi-core application. …
Improving Privacy And Performance In Anonymous Communications, Nayantara Mallesh
Improving Privacy And Performance In Anonymous Communications, Nayantara Mallesh
Computer Science and Engineering Dissertations - Archive
Anonymous communications systems provide an important privacy service by keeping passive eavesdroppers from linking communicating parties. However, an attacker can use long-term statistical analysis of traffic sent to and from such a system to link senders with their receivers. While it is important to protect anonymous systems against such attacks, it is also important to ensure they provide good performance. In this thesis, we aim to make contributions to both these areas.In the statistical disclosure attack (SDA), an eavesdropper isolates his attack against a single user, whom we call Alice, with the aim of exposing her set of contacts. To …
Mathematical Modeling For Phagocyte Transmigration And Reverse Engineering, Min Gon Kang
Mathematical Modeling For Phagocyte Transmigration And Reverse Engineering, Min Gon Kang
Computer Science and Engineering Theses - Archive
Computational modeling and simulation have been used as an important tool to analyze the behavior of a complex biology system. Typically, the biology system is a complex non-linear system where a large number of components are involved. One of the major obstacles in computational modeling and simulation is to determine a large number of parameters in the mathematical equations representing biological properties of the system.To tackle this problem, we have developed a global optimization method, called Discrete Selection Levenberg-Marquardt (DSLM), for parameter estimation. The method uses a non-linear least square approach to approximate the solution of over-determined systems. For fast …
A Novel Architecture For Mobility Enabled Video Conferencing In Next Generation Wireless Networks, Avinash Narayan
A Novel Architecture For Mobility Enabled Video Conferencing In Next Generation Wireless Networks, Avinash Narayan
Computer Science and Engineering Theses - Archive
The Heterogeneous nature of next generation networks requires architecture and technologies that have an intrinsic support for diversity. The plethora of existing wireless access technologies will soon be connected to Internet in the wave of "Internet of Things". We have learnt from many endeavors that no single technology exists that is ubiquitous and connects everything. In Cellular service, aside from the geographic coverage limitation, the major deficiency is lack of complete coverage inside buildings (offices, healthcare facilities, malls, and the like). Once we are inside many public buildings, cellular coverage is blocked by RF opaque walls, but may have strong …
Measuring Named Entity Similarity Through Wikipedia Category Hierarchies, Jared M. Ashman
Measuring Named Entity Similarity Through Wikipedia Category Hierarchies, Jared M. Ashman
Computer Science and Engineering Theses - Archive
Identifying the semantic similarity between named entities has many applications in NLP, including information extraction and retrieval, word sense disambiguation, text summarization and type classification. Similarity between named entities or terms is commonly determined using a taxonomy based approach, but the limited scalability of existing taxonomies has led recent research to use Wikipedia's encyclopedic knowledge base to find similarity or relatedness. These existing methods using Wikipedia have so far focused on relatedness, but are not as well suited to finding similarity. In this thesis, we evaluate methods for determining the semantic similarity between named entities by associating each named entity …
Episodic Task Planning And Learning In Pervasive Environments, Yong Lin
Episodic Task Planning And Learning In Pervasive Environments, Yong Lin
Computer Science and Engineering Dissertations - Archive
During planning and control of autonomous robots in a pervasive environment designed to serve people, we will inevitably face the situations of needing to perform multiple complex tasks. Management and optimization of the execution of complex tasks involve the design of efficient approach and framework based on algorithm, artificial intelligence, machine learning, cognitive science, etc. In this dissertation, we have developed a new method for complex task planning of robots, so that they can improve the service for the elderly and the disabled. The word "episode" comes from Greek, which means "event", or "occurrence". Humans learn and plan from past …
Building Bayesian Network Based Expert Systems From Rules, Saravanan Thirumuruganathan
Building Bayesian Network Based Expert Systems From Rules, Saravanan Thirumuruganathan
Computer Science and Engineering Theses - Archive
Combining expert knowledge and user explanation with automated reasoning in domains with uncertain information poses significant challenges in terms of representation and reasoning mechanisms. In particular, reasoning structures understandable and usable by humans are often different from the ones for automated reasoning and data mining systems.Rules are a convenient and human understandable way to express domain knowledge and build expert systems. Adding certainty factors to these rules presents one way to deal with uncertainty in rule based expert systems. However such systems have limitations in accurately modeling the domain. Bayesian Network, on the other hand, is a probabilistic graphical model …
Embedded Sparse Representation For Image Classification, Jin Huang
Embedded Sparse Representation For Image Classification, Jin Huang
Computer Science and Engineering Theses - Archive
Image classification, such as face recognition and scene categorization, is an important research area in computer vision over the last decade. It has been successfully applied to many image analysis applications. Images usually have a large number of features, hence the dimensionality reduction methods are often employed before the subsequent classification to improve the classification results. A lot of methods have been proposed, including but not limited to PCA, ICA, LDA, and Bayesian Framework. Recently, compressive sensing and sparse learning have been widely studied and applied into computer vision research. Ma et al. suggested a new method called Sparse Representation …
Evaluation Of Ferry Based Opportunistic Message Dissemination With Deterministic Inter Contact Times, Samreen Tahir
Evaluation Of Ferry Based Opportunistic Message Dissemination With Deterministic Inter Contact Times, Samreen Tahir
Computer Science and Engineering Theses - Archive
Opportunistic Networks are characterized by intermittent connectivity and volatile topology. In such a network scenario, traditional Mobile Ad hoc Network (MANET) routing protocols cannot work efficiently. Hence, a novel way of message forwarding is required that operates even when an end-to-end path between a source and destination pair may never exist. Delay Tolerant Networks (DTNs) are an approach to alleviate network partitioning by working on the `store-carry-forward' paradigm [4]. Opportunistic Networks encompass DTNs and typically involve mobile devices that exchange data by taking advantage of their proximity to other nodes. Nodes in opportunistic networks may be heterogeneous with respect to …
Handling Periodic Signs In American Sign Language Using Synthetic Generation Of Periods, Himanshu Pahwa
Handling Periodic Signs In American Sign Language Using Synthetic Generation Of Periods, Himanshu Pahwa
Computer Science and Engineering Theses - Archive
American Sign Language (or ASL) is the dominant sign language of deaf people in United States and parts of Canada. 500,000 to 2 million people use ASL as their primary language in United States. ASL uses hands, face and body, with constantly changing movements and orientations. Since the language is based on gestures, not a printed alphabet, it gets difficult to know the associated meaning given a video. There are multimedia tools and dictionaries available to view a sign video for a given word but there are no dictionaries available which, given a sign video will respond with corresponding word. …
A Human Motion Database: The Cognitive And Parametric Sampling Of Human Motion, Arnab Biswas
A Human Motion Database: The Cognitive And Parametric Sampling Of Human Motion, Arnab Biswas
Computer Science and Engineering Theses - Archive
Motion databases have a strong potential to guide progress in the field of machine recognition and motion-based animation. Existing databases either have a very loose structure that do not sample the domain according to any controlled methodology or too few action samples which limits their potential to quantitatively evaluate the performance of motion-based techniques. The controlled sampling of the motor domain in the database may lead investigators to identify the fundamental difficulties of motion cognition problems and allow the addressing of these issues in a more objective way. In this thesis, we describe the construction of our Human Motion Database …