Now showing items 94-113 of 238

    • Finding Hidden Relationships between Medical Concepts by Leveraging Metamap and Text Mining Techniques 

      Yang, Weikang (North Dakota State University, 2017)
      A lot of efforts have been made in order to make new discoveries in the biomedical filed. However, those valuable information may be hidden in text without applying appropriate text mining techniques. In this paper, I ...
    • Fuzzy Decision Model for a Smart Grid 

      Baqui, Muhammad Niamul (North Dakota State University, 2012)
      Electricity is vital for U.S. economy. Over the years, the demand and the usage of electricity have skyrocketed, but the electric transmission and distribution processes have been manual. The current work formulates an ...
    • Genetic Search for Multi School Routing 

      Ganesan, Arjun Sivaram Kumar (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 

      Kasam, Shashi Kanth (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 

      Killada, Bala Venkata Rama Kishore (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) 

      Fazal, Nazeer Ahmed Khan (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 

      Thalloji, Pramodh Kumar (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 

      Guduru, Srinivas (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 

      Joshi, Kailash Raj (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 

      Gebremariam, Alemayehu; Gebremariam, Alemayehu (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 ...
    • The Grid Scan Heuristic for Extending Lifetime in Wireless Sensor Networks 

      Pachva, Srikar (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 

      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 ...
    • 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 ...
    • 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 ...
    • 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, ...