Browsing Computer Science by Title
Now showing items 183-202 of 408
-
Identifying & Analyzing Security Vulnerabilities While Integration of Data from Cloud to SQL DBMS An Industrial Case Study
(North Dakota State University, 2020)Data integration defines propulsion of data from numerous sources into a database system in a way that yields the information representing powerful analytics. Various industries are always working towards keeping their ... -
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 ... -
Image Processing for White Line Detection in a Grassy Field
(North Dakota State University, 2019)Image processing for object detection and decision making based on the observed remains a challenge today. As participants in the Intelligent Ground Vehicle Competition in 2018 and 2019, we were tasked to build an autonomous ... -
Image Registration and Fusion Application
(North Dakota State University, 2021)Image Registration and Fusion is a process of manipulating two or more input images through a combination of geometric transformation operations and fusion rules to obtain the information from the input images into one ... -
Immune Network Optimization of Composite SaaS for Cloud Computing
(North Dakota State University, 2015)Serving the needs efficiently for a wide gamut of cloud users is a challenge. One way to address this challenge is to decompose SaaS (Software as a Service) into application components and then consider them as loosely ... -
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 Parallel Programming to Improve Transaction Speed and Scalability in Blockchain Systems
(North Dakota State University, 2021)This thesis presents a parallel mining architecture model intended to be used in blockchain systems to improve transaction speed and network scalability while maintaining decentralization. Typical blockchain validation ... -
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 ... -
Improved Genetic Programming Techniques For Data Classification
(North Dakota State University, 2014)Evolutionary algorithms are one category of optimization techniques that are inspired by processes of biological evolution. Evolutionary computation is applied to many domains and one of the most important is data mining. ... -
An Improved Modular Framework for Developing Multi-Surface Interaction
(North Dakota State University, 2016)Advances in multi-touch capabilities have led to their use in a vast array of devices, but usable interactions that span across devices are less frequently encountered. To address this concern, a framework was created for ... -
Improving Usability in ‘CIRCLE’
(North Dakota State University, 2016)This paper describes how the System Usability Scale (SUS) has helped in improving and making a software tool called the Classification, Identification, and Retrieval-based Collaborative Learning Environment (CIRCLE) more ... -
In Memory Computation of Glowworm Swarm Optimization Applied to Multimodal Functions Using Apache Spark
(North Dakota State University, 2018)Glowworm Swarm Optimization (GSO) is one of the optimization techniques, which need to be parallelized in order to evaluate large problems with high-dimensional function spaces. There are various issues involved in the ... -
Incorporating Sliding Window-Based Aggregation for Evaluating Topographic Variables in Geographic Information Systems
(North Dakota State University, 2019)The resolution of spatial data has increased over the past decade making them more accurate in depicting landform features. From using a 60m resolution Landsat imagery to resolution close to a meter provided by data from ... -
Increasing the Predictive Potential of Machine Learning Models for Enhancing Cybersecurity
(North Dakota State University, 2021)Networks have an increasing influence on our modern life, making Cybersecurity an important field of research. Cybersecurity techniques mainly focus on antivirus software, firewalls and intrusion detection systems (IDSs), ... -
Increasing Usability and Accessibility of GIS Technology Through Extension of Existing Software Tools
(North Dakota State University, 2015)As the popularity of Geographic Information System (GIS) technology increases and its use extends from specialized users to the general public, tools available to users must adapt to take these changes into account. Virtual ...