Now showing items 178-197 of 405

    • Harnessing User Generated Multimedia Content in the Creation of Collaborative Classification Structures and Retrieval Learning Games 

      Borchert, Otto Jerome (North Dakota State University, 2015)
      This paper describes a software tool to assist groups of people in the classification and identification of real world objects called the Classification, Identification, and Retrieval-based Collaborative Learning Environment ...
    • Health Risk Prediction Using Big Medical Data - a Collaborative Filtering-Enhanced Deep Learning Approach 

      Li, Xin (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 ...
    • Heuristic Clustering with Secured Routing in Two Tier Sensor Networks 

      Gagneja, Kanwalinderjit Kaur (North Dakota State University, 2013)
      This study addresses the management of Heterogeneous Sensor Networks (HSNs) in an area of interest. The use of sensors in our day-to-day life has increased dramatically, and in ten to fifteen years the sensor nodes may ...
    • Historical Analysis and Estimation Tool for Energy Trading 

      Sambaraju, Sharath Chandra (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 ...
    • Identifying & Analyzing Security Vulnerabilities While Integration of Data from Cloud to SQL DBMS An Industrial Case Study 

      Kaur, Simranjit (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 

      Burugupalli, Mohan (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 

      Ginjupalli, Siva Krishna (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 

      Murad, Rodi (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 

      Singh, Shreya (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 

      Bauer, Kevin Kaatz (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 

      Gagganapalli, Srikanth Reddy (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 

      Valluru, Srikanth (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 

      Rastogi, Aakanksha (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 

      Gadiparthi, Sudheer (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 

      Kanajal Chandrakanth, Spoorthy (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 

      DeNio, Joshua (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 

      Depa, Amarender Reddy (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 

      Al-Madi, Naila Shikri (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 

      Limke, Jed Patrick (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’ 

      Peruri, Alekya (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 ...