Now showing items 134-153 of 238

    • Mining Communities from Multi-Layered Graphs 

      Chao, Meng (North Dakota State University, 2013)
      Identifying communities from networks has been a subject of great interest in Biological and Social network analysis. Finding communities can help with tasks such as identifying and fighting disease. Using graphs to represent ...
    • Mining Connected Frequent Boolean Expressions 

      Kolte, Deepak (North Dakota State University, 2017)
      In this paper, we are finding Connected Frequent Boolean Expressions from cancer dataset [14] and protein protein interaction network [14] to discover group of dysregulated genes. Frequent Itemset Mining is a process of ...
    • Mining Frequent Coherent Patterns from Weighted Graphs 

      Ahmed, Syed Kutub Uddin (North Dakota State University, 2014)
      Current research on network analysis; such as community detection, pattern mining and many other graph mining application mostly focus on large social or biological networks. Such experiments may find interesting patterns ...
    • Mining Quasi-Frequent Subnetworks in Graph Networks Using Edge-Edge Summary Graph 

      Dawar, Priyanka (North Dakota State University, 2017)
      In today’s computing world, graphs have become increasingly important in modeling sophisticated structures, entities and their interactions, with broad applications including Bioinformatics, Computer Vision, Web analysis ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...