Browsing Computer Science Masters Papers by Title
Now showing items 136-155 of 217
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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 ... -
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 ... -
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, ... -
Particle Swarm Optimization Algorithm: Variants and Comparisons
(North Dakota State University, 2015)Since the introduction of Particle Swarm optimization by Dr. Eberhart and Dr. Kennedy, there have been many variations of the algorithm proposed by many researchers and various applications presented using the algorithm. ... -
Perception about GMOs between the USA and Europe through Twitter
(North Dakota State University, 2017)Twitter is one of the most popular social networking and microblogging services in the internet world. By the end of Jan 24, 2017, there were at least 100 million active users daily around the world. Due to such a huge ... -
Perceptions of Genetically Modified Foods by Gender
(North Dakota State University, 2016)Twitter is one of the most popular worldwide social networking services. It has more than 320 million monthly active users around the world. So it’s a very good way to discover what’s happening in the world and we can even ... -
Performance Comparison of Apache Spark MLlib
(North Dakota State University, 2018)This study makes an attempt to understand the performance of Apache Spark and the MLlib platform. To this end, the cluster computing system of Apache Spark is set up and five supervised machine learning algorithms (Naïve-Bayes, ... -
A Petri Net Based Simulation for Multiple Unmanned Aerial Vehicles
(North Dakota State University, 2019)Nowadays more and more Unmanned Aerial Vehicles (UAVs) are being mass produced and are being used for a lot of activities like exploring never before explored areas of the world, recreational work, rescue missions etc. In ...