Browsing Computer Science Masters Papers by Title
Now showing items 157-176 of 251
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Multi-Style Web Content Restructuring for Efficient Mobile Web Browsing
(North Dakota State University, 2011)Mobile devices such as smart phones, PDAs, and tablets are getting more and more popular every day. As a result, more people tend to use mobile devices to access Web contents. Therefore, mobile browsing becomes an important ... -
Naïve Bayes Classifier: A MapReduce Approach
(North Dakota State University, 2014)Machine learning algorithms have the advantage of making use of the powerful Hadoop distributed computing platform and the MapReduce programming model to process data in parallel. Many machine learning algorithms have been ... -
NDSU Scholar: Application to Search Articles Relevant to a Research Problem
(North Dakota State University, 2015)Because of recent development in the field of computers, there has been substantial growth in the field of online education that varies from online tutors to electronic research papers. Now days, a student can find almost ... -
A Network Optimization Solver for Routing in Wireless Sensor Networks
(North Dakota State University, 2010)Many wireless sensor network applications require energy efficient communication between nodes in the network. Sensor networks are of limited resources. Due to this limitation, the routing between the nodes is one of the ... -
Neutralization of Conflict Areas Using an Ant Colony Heuristic Approach
(North Dakota State University, 2010)In this paper, we present a unique approach to solve the Neutralization of Conflict Areas problem using an Ant Colony Optimization technique. The Neutralization of Conflict Areas is a known problem, and over the years, ... -
Novel Techniques Using Graph Neural Networks (GNNS) for Anomaly Detection
(North Dakota State University, 2023)This paper explores 2 new mechanisms that leverage graphs for anomaly detection. The novelty in approach one is to leverage the global attention capability of transformer architecture using a Graph Attention Network (GAT) ... -
Object Classification Using Stacked Autoencoder and Convolutional Neural Network
(North Dakota State University, 2016)In the recent years, deep learning has shown to have a formidable impact on object classification and has bolstered the advances in machine learning research. Many image datasets such as MNIST, CIFAR-10, SVHN, Imagenet, ... -
Online Defect Tracking System
(North Dakota State University, 2017)For Improving Software Reliability, Defect Tracking System (DTS) gives the facility to define the tasks and allow the managers to track the Defects and time spent by each employee for that particular task. This tool can ... -
Online Shopping Cart Application
(North Dakota State University, 2013)Electronic commerce, also known as ecommerce is a type of industry where buying and selling of a product is conducted over electronic systems such as the internet. The purpose of this application is to bring knowledge to ... -
Optimal Placement of Relay Stations in Wireless Sensor Networks
(North Dakota State University, 2013)Wireless sensor networks (WSNs) are a collection of nodes organized into a cooperative network with sensing, processing and transmitting capabilities. WSNs are becoming an increasingly prominent technology that can be used ... -
Optimization and Heuristic Facility Location Algorithms for the Smart Grid
(North Dakota State University, 2013)One of the most crucial aspects in maintaining a smart grid Network is to monitor its stability, control and minimize the outages, blackouts etc. which can be achieved by Phasor Measurement Units (PMUs). Despite having a ... -
Optimization Modeling for Wireless Sensor Scheduling
(North Dakota State University, 2013)Wireless sensor networks, consisting of sensing devices which sense the environment and communicate information among each other, is an emergent field in wireless networking with many potential applications. The efficiency ... -
Optimization of Benchmark Functions using Chemical Reaction Optimization
(North Dakota State University, 2013)In recent past, many new nature-inspired optimization techniques have been emerged in the field of science and engineering that have proven to be efficient to solve optimization problems. One such method that makes use of ... -
Optimization of Deployments for Service Oriented Clouds
(North Dakota State University, 2015)In cloud-computing environments, every service in an application is deployed as a different service instance. All service instances are deployed at a different level of end-to-end Quality of Service (QoS), which are described ... -
Optimizing Incident Management Strategies Using Simulation
(North Dakota State University, 2010)Incidents, pre-programmed or random, are major sources of congestion on urban freeways. With many of urban freeways in the US operating close to capacity, the need to reduce the impact of incident-related congestion has ... -
Outlier Identification in Sensor Network Clock Synchronization
(North Dakota State University, 2010)We first present a survey of clock synchronization research that describes the problem and various challenges to implementing an efficient protocol for clock synchronization in sensor networks. We then present several ... -
A Package Tracking Application Based On Software Agents
(North Dakota State University, 2012)JADE (Java Agent Development Framework) is a software environment, which is fully developed in the Java language. It supports multi-agent systems using an extensible agent model and predefined program classes. This software ... -
Parallel Particle Swarm Optimization
(North Dakota State University, 2016)PSO is a population based evolutionary algorithm and is motivated from the simulation of social behavior, which differs from the natural selection scheme of genetic algorithms. It is an optimization technique based on swarm ... -
Parallelization of Generic PSO Java Code Using MPJExpress
(North Dakota State University, 2013)Many scientific, engineering and economic problems involve the optimization of a set of parameters. The Particle Swarm Optimization (PSO) is one of the new techniques that have been empirically shown to perform well. The ... -
Parallelization of Particle Swarm Optimization Algorithm Using Hadoop Mapreduce
(North Dakota State University, 2016)Particle Swarm Optimization (PSO) has received attention in many research fields and real-world applications for solving optimization problems in the areas of intelligent transportation systems, wireless sensor networks, ...