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 511 - 540 of 666
Full-Text Articles in Computer Sciences
Location Privacy In Sensor Networks Against A Global Eavesdropper, Kiran K. Mehta
Location Privacy In Sensor Networks Against A Global Eavesdropper, Kiran K. Mehta
Computer Science and Engineering Theses - Archive
While many protocols for sensor network security provide con dentiality for the content of messages, contextual information usually remains exposed. Such contextual information can be exploited by an adversary to derive sensitive information such as the locations of monitored objects and data sinks in the eld. Attacks on these components can signi cantly undermine network applications. The existing techniques defend the leakage of location information only from an adversary who sees only local network tra c. However, a stronger adversary, the global eavesdrop- per, is realistic and can defeat all existing techniques. This paper rst formalizes the location privacy issues …
Automated Integration Of Biomedical Information For The Support Of Genome-Wide Association Studies, Abhijit R. Tendulkar
Automated Integration Of Biomedical Information For The Support Of Genome-Wide Association Studies, Abhijit R. Tendulkar
Computer Science and Engineering Theses - Archive
Genome-wide association studies of the genetic underpinnings of complex phenotypes, and human diseases in particular, have been steadily gaining momentum over the past several years. Yet, the number of polymorphic sites in the human genome, including, but not limited to, Single Nucleotide Polymorphisms (SNPs) is so large that identifying the combination of these few which have a significant effect on the condition of interest remains an overwhelming task. The goal of this thesis work was to identify biologically and medically relevant SNPs which could be the best possible candidates for further association studies. In this thesis we present a new …
Congestion Control For Networks In Challenged Environments, Guohua Zhang
Congestion Control For Networks In Challenged Environments, Guohua Zhang
Computer Science and Engineering Dissertations - Archive
Congestion occurs when resource demands exceed the capacity of a network. The goal of congestion control is to use the network as efficiently as possible. While extensive efforts have been devoted to providing optimization based, distributed congestion control schemes for efficient bandwidth utilization and fair allocation in the Internet and wireless networks, little consideration was given to congestion control for networks in challenged environments, specifically for networks with time-varying link capacities and networks that intermittently communicate. In this dissertation, we explore optimal congestion control strategies for such networks based on optimization techniques and repeated game theory. For networks with time …
High Performance Cluster And Grid Computing Solutions For Science, Umeshkumar Ashok Keswani
High Performance Cluster And Grid Computing Solutions For Science, Umeshkumar Ashok Keswani
Computer Science and Engineering Theses - Archive
Computing for science has very peculiar requirements. There is an enormous amount of data to analyze to get useful information. This requires greater computing power, huge data storage and high-capacity network. High Performance Computing (HPC) is the perfect solution that satisfies these requirements. Here, we look at two high performance implementations that provide useful solutions to computing problems in science, making possible scientific experiments and discoveries that otherwise would not have been possible.
Computational Analysis Of Variability Of Recombination In Mice, Vishnukumar Galigekere Nagabhushana
Computational Analysis Of Variability Of Recombination In Mice, Vishnukumar Galigekere Nagabhushana
Computer Science and Engineering Theses - Archive
Rapid advances in engineering and technology have fueled research in areas such as molecular biology and genetics to a new level and thus have given birth to multidisciplinary fields like bioinformatics and computational biology. These fields involve the application of one's expertise in one or more areas including computer science, information science, statistics, chemistry and mathematics to solve problems related to biology in general and molecular biology and genetics in particular. It is a challenging research area which requires one to grasp diverse fields at almost equal rigor and at the same time provides new insights into the fascinating field …
The Dynamics Of Salsa: A Structured Approach To Large-Scale Anonymity, Safwan Mahmud Khan
The Dynamics Of Salsa: A Structured Approach To Large-Scale Anonymity, Safwan Mahmud Khan
Computer Science and Engineering Theses - Archive
Anonymity provides a technical solution for protecting one's online privacy. Highly distributed peer-to-peer (P2P) anonymous systems should have better distribution of trust and more scalability than centralized approaches, but existing systems are vulnerable to attacks as they require nodes to have global knowledge of the system. To overcome these problems and to provide more secure, distributed organization for P2P anonymity systems, prior work proposed the Salsa system. Salsa is designed to select nodes to be used in anonymous circuits randomly from the full set of nodes, even though each node has knowledge of only a small subset of the network. …
Mutual Information Based Non-Rigid Image Registration Using Adaptive Grid Generation: Gpu Implementation And Application To Breast Mri, Mei Yi Chu
Computer Science and Engineering Dissertations - Archive
In this dissertation a new approach for non-rigid image registration using mutual information is introduced. A fast method for non-rigid registration is developed by adjusting divergence and curl of an intermediate vector field from which the deformation field is computed using finite difference method. The similarity measure mutual information is employed in the gradient-based cost minimization (or mutual information maximization) of the registration. The huge amount of data associated with MRI is handled by fully automated algorithm optimized with a multi-resolution topology preserving regridding scheme. The adaptive grid system naturally distributes more grids to deprived areas. The positive monitor function …
Eukasimbiosys: A Stochastic Discrete Event-Based Simulation Software For In-Silico Study Of Insulin Signaling And Metabolism In Cardiac Myocytes, Amin Reza Mazloom
Eukasimbiosys: A Stochastic Discrete Event-Based Simulation Software For In-Silico Study Of Insulin Signaling And Metabolism In Cardiac Myocytes, Amin Reza Mazloom
Computer Science and Engineering Dissertations - Archive
The advent of human genome annotation in the early years of third millennium has enabled the scientist to interlink the processes of life at the molecular level. The coincidence of this breakthrough along with advances in computational technology and high-throughput experimental techniques has promoted the emergence of numerous -omics data resources. Although for years before such discovery, scientist believed that cellular processes are the product of interaction between genes and gene products; However, any effort to exploit a comprehensive picture of cellular processes had been obscured due to the knowledge gap that avoided to correlate the cellular processes at the …
Architectures And Methods For Energy-Efficient Querying And Indexing In Wireless Sensor Networks, Kyungseo Park
Architectures And Methods For Energy-Efficient Querying And Indexing In Wireless Sensor Networks, Kyungseo Park
Computer Science and Engineering Dissertations - Archive
Wireless sensor networks have been an active research area for about a decade due to their adaptability to applications involving long-term environmental monitoring. Recent technologies make it possible that a small device equipped with multi-purposed sensors, small CPU and memory, wireless transmitter and receiver, and software can form a network, measure some quantitative phenomena and communicate with each other seamlessly. In wireless sensor networks, one of the basic applications is to monitor events and measure values at places that people cannot reach easily or where a long term sensing task is required. In this case, we need to know the …
Cap: A Context-Aware Privacy Protection System For Location-Based Services, Aniket Pingley
Cap: A Context-Aware Privacy Protection System For Location-Based Services, Aniket Pingley
Computer Science and Engineering Theses - Archive
Location Based Services (LBS) are information services that provide users with customized contents, such as the nearest restaurants/hotels/clinics, retrieved from a dedicated spatial database. They make use of technologies such as Global Positioning System (GPS), triangulation/triliteration etc. to get the geographical position of the user. Since the queries on spatial database include the user's current location, LBS may raise serious concerns on the user's location privacy. If disclosed, a user's location information may be misused in many ways by a malicious adversary who has access to the LBS server or even by the LBS provider. Therefore, our aim in this …
High-Level Constraint Support For Combinatorial Testing, Anthony C. Opara
High-Level Constraint Support For Combinatorial Testing, Anthony C. Opara
Computer Science and Engineering Theses - Archive
Combinatorial testing constructs test cases by combining different input parameter values based on some effective combinatorial strategy. This software testing approach has displayed very promising attributes and is rapidly gaining popularity in recent years. However, existing work does not provide adequate support for constraint handling. Constraints are often specified as part of an input parameter model and they may be due to several reasons such as incompatibility between certain hardware and software components. A test generation algorithm needs to take these constraints into account during the test generation process to exclude combinations that are invalid from the domain semantics. In …
Stepping-Stone Network Attack Kit (Sneak) For Evading Timing-Based Detection Methods Under The Cloak Of Constant Rate Multimedia Streams, Jaideep D. Padhye
Stepping-Stone Network Attack Kit (Sneak) For Evading Timing-Based Detection Methods Under The Cloak Of Constant Rate Multimedia Streams, Jaideep D. Padhye
Computer Science and Engineering Theses - Archive
With the advent of the Internet, network-based security threats have been constantly on the rise. The source of an attack could be traced by studying the system logs and the source IP address of the attack can be used to identify and prosecute the attacker. To avoid getting traced and to mislead the forensic investigators, attackers usually compromise weaker nodes on less secure networks and use them as stepping stones to attack the victim. This technique makes it difficult for the investigators to trace the real source of attack. Hence, it is important to research the stepping stone detection techniques …
Efficient Processing Of Set Queries Using Bitmap Index, Muhammad Assad Safiullah
Efficient Processing Of Set Queries Using Bitmap Index, Muhammad Assad Safiullah
Computer Science and Engineering Theses - Archive
Growing complexity of enterprise-wide data and business processes necessitates the efficiency of complex decision support set queries. However, contemporary DBMS remain unsuccessful in handling set queries efficiently. In this thesis we propose efficient set query processing methods using bitmap index. The methods use bitmap vectors to represent attributes values in binary format. The methods test groups within a schema in a hierarchical fashion. Satisfying groups are bisected further and checked recursively while non-satisfying groups are pruned resulting in significant reduction in response times. In addition, our iterative implementation avoids the inefficiency that can be introduced by recursive implementation by reading …
A Context-Aware Learning, Prediction And Mediation Framework For Resource Management In Smart Pervasive Environments, Nirmalya Roy
A Context-Aware Learning, Prediction And Mediation Framework For Resource Management In Smart Pervasive Environments, Nirmalya Roy
Computer Science and Engineering Dissertations - Archive
Advances in smart devices, mobile wireless communications, sensor networks, pervasive computing, machine learning, middleware and agent technologies, and human computer interfaces have made the dream of smart environments a reality. An important characteristic of such an intelligent, ubiquitous computing and communication paradigm lies in the autonomous and pro-active interaction of smart devices used for determining inhabitants' important contexts such as current and near-future locations, activities or vital signs. `Context Awareness' is perhaps the most salient feature of such an intelligent computing environment. An inhabitant's mobility and activities play a significant role in defining his contexts in and around the home. …
Mass Spectrometry Based Proteomic Biomarker Selection And Sample Prediction, Jung Hun Oh
Mass Spectrometry Based Proteomic Biomarker Selection And Sample Prediction, Jung Hun Oh
Computer Science and Engineering Dissertations - Archive
High-resolution MALDI-TOF (matrix-assisted laser desorption/ionization time-of-flight) mass spectrometry has recently shown promise as a screening tool for detecting discriminatory peptide/protein patterns. The major computational obstacle in finding such patterns is the large number of mass/charge peaks (features, biomarkers, data points) in a spectrum. To tackle this problem, we have developed methods for data preprocessing and biomarker selection. The preprocessing consists of binning, baseline correction, and normalization. An algorithm, Extended Markov Blanket (EMB), is developed for biomarker detection, which combines redundant feature removal and discriminant feature selection. The biomarker selection couples with support vector machine (SVM) to achieve sample prediction from …
Comprehensive Data Analysis For Biomarker Pattern Discovery Using Dna/Protein Microarrays, Young Bun Kim
Comprehensive Data Analysis For Biomarker Pattern Discovery Using Dna/Protein Microarrays, Young Bun Kim
Computer Science and Engineering Dissertations - Archive
During the last decade, the advent of microarray technology has stimulated rapid research advances in bioinformatics. Microarray data pose great challenges for computational data analysis, because of their large dimensionality (up to several tens of thousands of genes) and their small sample sizes. In order to deal with these particular characteristics of microarray data, the need and importance for feature selection techniques were realized. While a lot of research deals with classification methods and their application to microarray data, only a few approaches are explicitly designed to consider interaction among the investigated features. It is well known that the interactions …
An Assistive Navigation Paradigm For Semi-Autonomous Wheelchairs Using Force-Feedback And Goal Prediction, John H.C. Staton
An Assistive Navigation Paradigm For Semi-Autonomous Wheelchairs Using Force-Feedback And Goal Prediction, John H.C. Staton
Computer Science and Engineering Theses - Archive
As computer technology advances and facilitates an increased amount of autonomous sensing and control, the interface between the human and autonomous computer systems becomes increasingly important. This applies in particular in the realm of service robotics where robots with increasing levels of autonomy are constantly interacting with human users and where it is paramount to have an efficient way to convey user intentions and commands to the robot system, integrate them into the robot's action and control, and to indicate robot control choices to the user in a "natural", intuitive way. One particular example where semi-autonomous operation of a vii …
Energy-Efficient Connected K-Coverage, Duty-Cycling, And Geographic Forwarding In Wireless Sensor Networks, Habib M. Ammari
Energy-Efficient Connected K-Coverage, Duty-Cycling, And Geographic Forwarding In Wireless Sensor Networks, Habib M. Ammari
Computer Science and Engineering Dissertations - Archive
With the fast advances in inexpensive sensor technology and wireless communications, the design and development of large-scale wireless sensor networks has become cost-effective and viable enough to attract the attention of a wide range of civilian, natural, and military applications, such as health and environmental monitoring, seism monitoring, and battlefields surveillance. The main challenge in the design of wireless sensor networks is the limited battery power of the sensors and the difficulty of replacing and/or recharging these batteries due to the nature of the monitored field, such as hostile environments, and cost. Thus, it is necessary that the sensors be …
A Multi-Level Biomedical Ontology-Enabled Broker: Dynamic Service-Based Data Source Integration, Sheng-Chieh Jack Fu
A Multi-Level Biomedical Ontology-Enabled Broker: Dynamic Service-Based Data Source Integration, Sheng-Chieh Jack Fu
Computer Science and Engineering Dissertations - Archive
Web services have recently become a new trend for gathering biomedical information. However, it is not easy to integrate and obtain a concise/complete query result among thousands of service operations. In this dissertation, we propose a multi-level ontology-enabled service broker system for dynamically integrating web services in the biomedical domain (BioServiceBroker). By introducing multi-level modeling concepts and intra/inter level relationships, our approach facilitates more accurate modeling of biomedical ontologies, which leads to a better understanding of the data stored in various biological data sources as well as the services provided by the data sources. In addition, we incorporate temporal concepts …
An Influenza Virus Molecular Infection Model And Discrete Event, Stochastic Simulation., Richard Burke Squires
An Influenza Virus Molecular Infection Model And Discrete Event, Stochastic Simulation., Richard Burke Squires
Computer Science and Engineering Theses - Archive
Influenza virus is responsible for the greatest pandemic in human history causing 20 - 40 million deaths worldwide during the 1918 flu season. In 1997 fears of a future pandemic arose with the discovery of a new strain of H5N1 avian influenza. In an effort to better understand the dynamics of influenza infection a new model of influenza virus infection at the molecular level has been developed. Comprising nineteen stages and five molecular types (mRNA, cRNA, vRNA, vRNP and proteins) the FluSim model consists of the major contributing pathogen factors to influenza infection. A discrete event, stochastic simulation based upon …
Secure Data Aggregation In Wireless Sensor Networks, Wei Zhang
Secure Data Aggregation In Wireless Sensor Networks, Wei Zhang
Computer Science and Engineering Dissertations - Archive
Recent advances in micro-electro-mechanical systems (MEMS) technology and wireless communications technologies have enabled the deployment of wireless sensor networks (WSNs) in a plethora of applications, ranging widely from military surveillance to civilian applications. To protect the networks from different kinds of attacks, security in wireless sensor networks plays a crucial role and has received increased attention especially in the applications deployed in hostile environments, such as battlefield monitoring and home security. While extensive efforts have been devoted toward securing conventional networks, the stringent resource constraints, such as energy, communication and computation capability, etc., have often prevented their direct adoptions. As …
Data Dissemination Protocols In Wireless Sensor Networks : Design, Modeling And Security, Pradip De
Data Dissemination Protocols In Wireless Sensor Networks : Design, Modeling And Security, Pradip De
Computer Science and Engineering Dissertations - Archive
Wireless sensor and actuator networks have been one of the stepping stones towards realizing a pervasive computing infrastructure. However, in a post-deployment scenario, transferring critical updates and reconfigurations on a network-wide scale is a non-trivial proposition. Wireless techniques provide the only means of communication, and consequently, an in-depth study of the multihop broadcast based communication paradigm and the design of efficient and reliable data dissemination protocols for reprogramming a sensor network is of paramount importance. In this dissertation, we initially focus on the formal modeling and performance analysis of broadcast-based data dissemination protocols in wireless sensor networks. The data propagating …
Hierarchical Reinforcement Learning Using Automatic Task Decomposition And Exploration Shaping, Predrag Djurdjevic
Hierarchical Reinforcement Learning Using Automatic Task Decomposition And Exploration Shaping, Predrag Djurdjevic
Computer Science and Engineering Theses - Archive
Reinforcement learning agents situated in real world environments have to be able to address a number of challenges in order to succeed at accomplishing a wide range of tasks over their lifetime. Among these, such systems have to be able to extract control knowledge from already learned tasks and apply them to subsequent ones in order to allow the agent to accomplish the new task faster and to accelerate the learning of an optimal policy. To address skill reuse and skill transfer, a number of approaches using hierarchical state and action spaces have been introduced recently which build on the …
Texture Measurement And Skid Number Prediction Using Laser Data Acquisition, Digital Signal Processing, And Neural Networks, John Michael Kebrle
Texture Measurement And Skid Number Prediction Using Laser Data Acquisition, Digital Signal Processing, And Neural Networks, John Michael Kebrle
Computer Science and Engineering Theses - Archive
Real-time estimation of the skid number of pavement is difficult. Traditional methods of volumetric measurement are cumbersome and time consuming. It is desired to enable prediction of the skid number of pavement using non-contact means, and to doso using a method which provides a reasonable estimate of the pavements skid number. This research used laser data acquisition of macro-texture, Digital Signal Processing and Neural Networks to estimate the skid number of pavement to a reasonable degree. The research used Digital Signal Processing to identify potentially bad data sets, and a Neural Network model for predicting skid number on the refined …
Enhancing Jswat For Monitor-Based Executions, Arun Ramani
Enhancing Jswat For Monitor-Based Executions, Arun Ramani
Computer Science and Engineering Theses - Archive
Concurrent programs contain more than one thread that executes concurrently to accomplish a particular task. Since the threads in a concurrent program work together to accomplish a common goal, they share the data, code, resources and address space of their process. This reduces the overhead involved in creating and managing the threads but leads to side effects like race conditions, critical section problem and deadlocks. There are several operating system constructs to solve these issues such as locks, semaphores, monitors etc. Locks are associated with each object to control access of shared resources. Semaphores can be described as counters used …
Visualization Of Monitor-Based Executions, Keerthika Koteeswaran
Visualization Of Monitor-Based Executions, Keerthika Koteeswaran
Computer Science and Engineering Theses - Archive
Concurrent programs play a vital role in the world of software engineering. Concurrent programs are used in various fields such as safety critical applications, applications involving advanced graphical user interface, operating system implementation etc. Concurrent programs due to their inherent multi-threaded nature pose a challenge to software engineers not only in coding but also in ensuring data consistency and accuracy. One of the important software constructs used by concurrent programmers to handle critical sections and data synchronization is monitors. A monitor is an encapsulation of shared data, operations on the data and any synchronization required to access the data~\cite{CarTai06:ModMulti}. Monitors …
Increasing Localization Precision In Sensor Networks With Mobile Beacons - A Genetic Path Planning Approach, Awais Iqbal
Increasing Localization Precision In Sensor Networks With Mobile Beacons - A Genetic Path Planning Approach, Awais Iqbal
Computer Science and Engineering Theses - Archive
This work describes a genetic algorithm based approach to approximate an optimal path for a mobile beacon node in a grid of stationary wireless sensors. As the beacon moves over the field of sensors it broadcasts its location. Sensors that are currently in the proximity of the beacon will receive this communication and can then use several of these messages to compute estimates on their locations. An optimal path is defined as a path that will result in the highest overall precision of location estimates among sensors given a maximum path length for the beacon. We assume that sensors are …
Nonrigid Image Registration By The Deformation Based Grid Generation, Chih-Yao Hsieh
Nonrigid Image Registration By The Deformation Based Grid Generation, Chih-Yao Hsieh
Computer Science and Engineering Dissertations - Archive
A novel nonrigid image registration algorithm is developed using a well-established mathematic work known as deformation based grid generation. The deformation based grid generation is capable to generate a grid free of mesh folding, which is achieved by devising a positive monitor function describing the anticipated grid point density in the computational domain. Based on this method, a novel nonrigid image registration algorithm is successfully developed with many interesting features. First of all, the functional to be optimized during the image registration process consists of only one term — the similarity term. Thus, no regularization functional is required in this …
Searching And Ranking Xml Data In A Distributed Environment, Weimin He
Searching And Ranking Xml Data In A Distributed Environment, Weimin He
Computer Science and Engineering Dissertations - Archive
Due to the increasing number of independent data providers on the web, there is a growing number of web applications that require searching and querying data sources distributed at different locations over the internet. Since XML is rapidlygaining in popularity as a universal data format for data exchange and integration, locating and ranking distributed XML data on the web are gaining importance in the database community. Most of existing XML indexing techniques combine structure indexes and inverted lists extracted from XML documents to fully evaluate a full-text query against these indexes and return the actual XML fragments of the query …
Regridding In Nonrigid Image Registration, Ting-Hung Lin
Regridding In Nonrigid Image Registration, Ting-Hung Lin
Computer Science and Engineering Dissertations - Archive
Regridding was first introduced in viscous fluid registration for preventing folding of the transformation and for maintaining the admissible deformation field in large-deformation nonrigid image registration applications. We investigated the application of regridding to leading nonrigid image registration algorithms, including elastic, fluid, diffusion, curvature, and demons algorithms, and compared the performance and accuracy in each case.We also introduce a grid repairing mechanism based on the adaptive grid-generation method to prevent the transformation from folding. The grid repairing method can be used in conjunction with the proposed regridding scheme to set bounds on the Jacobian determinant of the transformation. We showed …