Now showing items 149-168 of 254

    • Mining Representative Cohesive Dense Subgraphs 

      Brazier, Tyler (North Dakota State University, 2014)
      Data mining techniques have an important implication in social and biological network analysis, were we're interested in finding related complexes and communities. A modern paradigm for solving this problem involves finding ...
    • Mobile Applications for Viewing Price and Load of Power Data from New York Independent System Operator 

      Gupta, Nimish (North Dakota State University, 2014)
      In New York, the New York Independent System Operator (NYISO) supervises the wholesale electrical market and collects different kinds of data, including price and load data, which are available on the NYISO’s website. These ...
    • Mobile Diabetes Application 

      Myneedi, Anusha (North Dakota State University, 2019)
      In recent years, Diabetes is becoming a serious health challenge. The prevalence of diabetes has increased with accompanying increases in body weight and diminished physical activity and with increased automation. Effective ...
    • A Mobile Game for Learning Cyber-Attacks and Their Prevention 

      Solanki, Piyush (North Dakota State University, 2023)
      This paper's primary goal is to use Bloom's Revised Taxonomy educational objectives in creating Cyber Air-Attack. It's a game that teaches fundamental concepts about cybersecurity. Because it simplifies and makes learning ...
    • Mobile Sensor movement using Simulated Annealing 

      Yamparala, Sri Harsha (North Dakota State University, 2009)
      Movement of mobile sensor nodes is an important aspect in wireless sensor networks, and there is considerable research underway into the design of mobile sensor movement algorithms for wireless sensor networks. Various ...
    • A Mobile Website Prototype 

      Teotia, Ashish (North Dakota State University, 2013)
      More people have started using smart phones, and in the near future, cell phones/smart phones will take the place of computers. I developed a mobile website prototype based on standards, such as keeping it task oriented, ...
    • Modeling of Consumer Responses to Dynamic Pricing in a Smart Grid 

      Khan, Md Mahbubur Rahman (North Dakota State University, 2012)
      This paper models the responses of three different types of consumers based on their sensitivity to dynamic price. Simulated household demand data is used to model the dynamic price of electricity. These prices are then ...
    • Modeling of Dynamic Pricing of Energy for a Smart Grid Using a Multi-agent Framework 

      Kaur, Harvinder (North Dakota State University, 2011)
      The use of smart grids is being promoted to address issues such as energy independence, global warming and emergency resilience. A smart grid is a digitized form of the power grid and is comprised of an intelligent monitoring ...
    • Multi Feature CBIR Model for Trademark Image Distinctiveness 

      Soni, Pratima (North Dakota State University, 2019)
      A Content-Based Image Retrieval (CBIR) system can help in detecting trademark infringement. This paper describes an improvement and extension of previous work for the existing Universal Model for a CBIR system, which only ...
    • Multi-Agent Based Simulation of an Unmanned Aerial Vehicles System 

      Murugesan, Karthiksivaram (North Dakota State University, 2011)
      The rapid growth of using Unmanned Aerial Vehicles (UAV) for civilian and military applications has promoted the development of research in many areas. Most of the unmanned aerial vehicles in use are manually controlled. ...
    • Multi-Style Web Content Restructuring for Efficient Mobile Web Browsing 

      Xia, Xiaojun (North Dakota State University, 2011)
      Mobile devices such as smart phones, PDAs, and tablets are getting more and more popular every day. As a result, more people tend to use mobile devices to access Web contents. Therefore, mobile browsing becomes an important ...
    • N-gram-based Search Procedure 

      Woznica, Szymon (North Dakota State University, 2009)
      Efficient querying and discovery of meaningful patterns in data becomes more and more important with accelerating growth of data published every day on the Internet. Tree pruning-based algorithms used in most popular ...
    • Naïve Bayes Classifier: A MapReduce Approach 

      Zheng, Songtao (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 

      Sharma, Rahul (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 ...
    • A Network Optimization Solver for Routing in Wireless Sensor Networks 

      Samaraweera, Shaminda Asela (North Dakota State University, 2010)
      Many wireless sensor network applications require energy efficient communication between nodes in the network. Sensor networks are of limited resources. Due to this limitation, the routing between the nodes is one of the ...
    • Neutralization of Conflict Areas Using an Ant Colony Heuristic Approach 

      Bapanpally, Pavan Kumar (North Dakota State University, 2010)
      In this paper, we present a unique approach to solve the Neutralization of Conflict Areas problem using an Ant Colony Optimization technique. The Neutralization of Conflict Areas is a known problem, and over the years, ...
    • Novel Techniques Using Graph Neural Networks (GNNS) for Anomaly Detection 

      Joseph, Priya (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 

      Gottimukkula, Vijaya Chander Rao (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 

      Soni, Gaurav (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 

      Gupta, Swati (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 ...