Browsing Computer Science Masters Papers by Title
Now showing items 106-125 of 256
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Genetic Search for Multi School Routing
(North Dakota State University, 2011)In genetic search for multi school routing, a set of commonly shared school buses and vans with capacity, travel speed and travel time limitations are used to service students from their pick up locations to their ... -
Glowworm Swarm Optimization Algorithm for Multi-Threshold Image Segmentation
(North Dakota State University, 2016)Glowworm Smarm Optimization (GSO), one of the nature-inspired swarm intelligence algorithms is used for finding solutions to optimization problems. Glowworms emit light to attract its mates and mates choosing the brighter ... -
GPU Enabled Particle Swarm Optimization
(North Dakota State University, 2017)GPUs are massively parallelized devices. They were designed to handle billions of pixels per second. It is does this by embracing an incredible level of parallelism. GPUs in fact can leverage any other parallel algorithms ... -
Graduate School Application Archive System (GSAAS)
(North Dakota State University, 2011)The advent of using web applications has dramatically changed the way people access data and understand these concepts. Users have expressed problems involved with accessing the data in an easy and effective way with ... -
Graduate Student Progress Tracking System
(North Dakota State University, 2010)In this paper, I propose and implement an application to track the graduate student progress in various Computer Science and Software Engineering graduate programs. This application will provide lists of students who in ... -
Graph Data Conversion and Tree Visualization
(North Dakota State University, 2011)The first part of the paper is converting graph data format from GXL to GraphML. GXL and GraphML are both XML-based languages for representing graph data. The HP page segmentation tool produces output graph data in GXL ... -
Graph Visualization Using the NoSQL Database
(North Dakota State University, 2013)The relational database has been a dominant approach for organizing data into formally organized tables for years. Recently, with massive amounts of data being generated, a new type of database called NoSQL has emerged. ... -
Graphical Simulation for Unmanned Aerial Vehicle Mission
(North Dakota State University, 2014)Unmanned Aerial Vehicles (UAVs) are automated flying planes currently focused on military and civilian applications. This work simulates the motion of UAV in the battlefield environment; making use of the theoretical ... -
A Graphical Tool for Test Generation from State Models
(North Dakota State University, 2009)This paper presented a graphical tool for generating test cases based on state models. The tool provides users with a user-friendly model editor to create their state model in a tree view structure. The tree based state ... -
The Grid Scan Heuristic for Extending Lifetime in Wireless Sensor Networks
(North Dakota State University, 2011)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. Efficiency of ... -
Health Risk Prediction Using Big Medical Data - a Collaborative Filtering-Enhanced Deep Learning Approach
(North Dakota State University, 2018)Deep learning has yielded immense success on many different scenarios. With the success in other real world application, it has been applied into big medical data. However, discovering knowledge from these data can be very ... -
Historical Analysis and Estimation Tool for Energy Trading
(North Dakota State University, 2014)Many forms of commodities are traded in today’s financial world, the most commonly used commodity, ‘Electricity’, is no exception. Electricity is mostly traded on a day to day basis, where the buyers and suppliers agree ... -
Image Classification Using Transfer Learning and Convolution Neural Networks
(North Dakota State University, 2020)In the recent years, deep learning has shown to have a formidable impact on image classification and has bolstered the advances in machine learning research. The scope of image recognition is going to bring big changes in ... -
Image Correction using Reed Muller Code
(North Dakota State University, 2013)Image signal processing is one of the important aspects while communicating from long distances. Background noise of images is one of the primary concerns in obtaining clear accurate images. This problem is further amplified ... -
Implementation and Evaluation of CMA-ES Algorithm
(North Dakota State University, 2015)Over recent years, Evolutionary Algorithms have emerged as a practical approach to solve hard optimization problems in the fields of Science and Technology. The inherent advantage of EA over other types of numerical ... -
Implementation of a Clonal Selection Algorithm
(North Dakota State University, 2014)Some of the best optimization solutions were inspired by nature. Clonal selection algorithm is a technique that was inspired from genetic behavior of the immune system, and is widely implemented in the scientific and ... -
Implementation of a GIS with Analytics for Pollution Data
(North Dakota State University, 2015)Particulate matter called pm2.5 refers to harmful microscopic liquid or solid matter of diameter 2.5 microns suspended in the air. To effectively analyze and visualize data for pollution category pm2.5, a Geographic ... -
Implementation of a Medical Decision Making Tool
(North Dakota State University, 2014)Nowadays timely medical assistance is necessary for physicians/medical practitioners for decision making. Sometimes it is necessary for physicians to make decisions to diagnose the disease of a patient promptly. ‘Implementation ... -
Implementation of Multilevel Thresholding Based Ant Colony Optimization Algorithm for Edge Detection of Images
(North Dakota State University, 2017)Edges in an image characterize object boundaries in an image, which is helpful in image processing and feature extraction in a particular scene. One of the methods used to detect edges in an image is image thresholding, ... -
Implementation of Weighted Centroid Neural Network for Edge Preserving Image Compression
(North Dakota State University, 2017)Image compression is a type of data compression applied to images. The objective of image compression is to reduce the cost for storage or transmission. Image compression is associated with removing redundant information ...