Browsing Computer Science by Title

Now showing items 234-253 of 408

    • Mining for Significant Information from Unstructured and Structured Biological Data and Its Applications 

      Al-Azzam, Omar Ghazi (North Dakota State University, 2012)
      Massive amounts of biological data are being accumulated in science. Searching for significant meaningful information and patterns from different types of data is necessary towards gaining knowledge from these large amounts ...

    • 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 Interesting Subnetworks from Graphs with Node Attributes 

      Goparaju, Aditya Praneeth (North Dakota State University, 2018)
      A lot of complex data in many scientific domains such as social networks, computational biology and internet of things (IoT) is represented using graphs. With the global expansion of internet, social networks had an explosive ...

    • Mining Novel Knowledge from Biomedical Literature using Statistical Measures and Domain Knowledge 

      Jha, Kishlay (North Dakota State University, 2016)
      The problem of inferring novel knowledge from implicit facts by logically connecting independent fragments of literature is known as Literature Based Discovery (LBD). In LBD, to discover hidden links, it is important to ...

    • 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 ...

    • Mining Semantic Relationships Between Concepts Across Documents Using Wikipedia Knowledge 

      Yan, Peng (North Dakota State University, 2013)
      The ongoing astounding growth of text data has created an enormous need for fast and efficient Text Mining algorithms. However, the sparsity and high dimensionality of text data present great challenges for representing ...

    • Mining Significant Patterns by Integrating Biological Interaction Networks with Gene Profiles 

      Alroobi, Rami Mohammed (North Dakota State University, 2015)
      Nowadays, large amounts of high-throughput data are available. Automatic with classical cell biology techniques which are employed in the analysis of cell functions, interactions, and how pathogens can exploit them in ...

    • Mining Structure Patterns Based on 3D Features in the Protein-DNA and Protein-protein Complex 

      Sun, Qing (North Dakota State University, 2018)
      For a long time, researchers have been searching for the “recognition codes” of protein complexes, which determine what DNA sequence or other protein a protein can bind to. The binding part prediction of protein complexes ...

    • 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 Health Application for Diabetes Self-Management 

      He, Zhuoran (North Dakota State University, 2020)
      As mobile healthcare applications are becoming more and more popular, it brings patients a more convenient way to self-management and communicating remotely compare to the traditional healthcare system. This paper introduces ...

    • 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, ...

    • Mobisurf: Bimanual Inter-Device Interaction 

      Roudaki, Ali (North Dakota State University, 2013)
      A shared interactive display (i.e. tabletop) provides a large space for collaborative interaction. However, it lacks a private area for accessing sensitive information. On the other hand, a mobile device offers a variety ...

    • Model-based Exploratory Testing: A Controlled Experiment 

      Schaefer, Christopher J. (North Dakota State University, 2013)
      Testing methods of software systems have been receiving more and more focus in recent years. Exploratory Testing (ET) is one such testing method. The advantages of ET are generally outweighed by its disadvantages, mainly ...

    • 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 ...