Browsing Computer Science Masters Theses by Title

Now showing items 56-75 of 89

    • Mining Approximate Frequent Dense Modules from Multiple Gene Expression Datasets 

      Seo, San Ha (North Dakota State University, 2021)
      Large amount of gene expression data has been collected for various environmental and biological conditions. Extracting dense modules that are recurrent in multiple gene coexpression networks has been shown to be promising ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Multi-Teacher Knowledge Distillation Using Teacher's Domain Expertise 

      Hossain, Arafat Bin (North Dakota State University, 2022)
      Large BERT models cannot be used with low computing power and storage capacity. Knowledge Distillation solves this problem by distilling knowledge into a smaller BERT model while retaining much of the teacher’s accuracy ...

    • Multi-Variate Attribute Selection for Agricultural Data 

      Xu, Xing John (North Dakota State University, 2015)
      Farmers always have been concerned about the quantity of crops (yield) as well as the quality of crops (sugar content of the sugar beets). The quality and quantity of crops are affected by various attributes, some are ...

    • Next Location Prediction Model: A Geohashed Based Recurrent Neural Network 

      Rahim Taleqani, Ali (North Dakota State University, 2021)
      This work investigates the significance of choosing appropriate recurrent neural networks (RNNs) architecture for a spatiotemporal next location prediction framework. Dockless shared micro-mobility sharing programs provide ...

    • Noise Removal from Attribute-Groups for Classification 

      Kar, Angshu (North Dakota State University, 2013)
      In this work, we present a novel algorithm that considers attributes from different experimental sources as separate groups for the purpose of classification. We remove noise from each of these groups, combine them, and ...

    • On the Applicability of Deep Metric Learning to Address Source Code Authorship Attribution Problem under Simulated Real-world Constraints 

      Zafar, Sarim (North Dakota State University, 2020)
      Source code authorship attribution is a widely studied research topic in the information security domain. In this dissertation, we develop and evaluate models that enable us to solve source code authorship attribution using ...

    • Optimization of Mobile Sensor Movement in Self-Healing Sensor Networks 

      Basu, Samidip (North Dakota State University, 2010)
      This paper moves forward the key idea as proposed in past research works - a self-healing deployment approach for sensor networks, where a small percentage of mobile sensors are deployed along with the static sensors into ...

    • Particle Swarm Optimization and Particle Filter Applied to Object Tracking 

      Xia, Gongyi (North Dakota State University, 2016)
      The particle filter is usually used as a tracking algorithm in non-linear under the Bayesian tracking framework. However, the problems of degeneracy and impoverishment degrade its performance. The particle filter is ...

    • Path Planning under Failures in Wireless Sensor Networks 

      Paturu Raghunatha Rao, Nityananda Suresh (North Dakota State University, 2013)
      This paper explores how an all pair shortest path can be obtained in a wireless sensor network when sensors fail. Sensors are randomly deployed in a predefined geographical area, simulating the deployment of sensors from ...

    • POMDP Planning in Service Composition 

      Min, Chen (North Dakota State University, 2011)
      Automated vVeb service composition is becoming an increasingly important research topic. It describes the automatic process of composing atomic services into a chain of services that provide a specific functionality that ...

    • Post-Deployment Key Management in Heterogeneous Wireless Sensor Networks 

      Loree, Paul Edward (North Dakota State University, 2010)
      Many wireless sensor network applications require secure communication between nodes in the network. However, establishing pair-wise keys between nodes to provide security is challenging due to the limited resources in ...

    • Pressure-based Authentication: A Secure and Usable Approach 

      Meng, Zhangyu (North Dakota State University, 2018)
      Due to its invisibility feature, pressure force is useful to enhance the security of authentication, especially preventing shoulder surfing. However, it is challenging to memorize a pressure-based password. This paper ...

    • Quantifying Relationships Between Two Time Series Data Sets 

      Roy, Arighna (North Dakota State University, 2016)
      One of the popular methods for quantifying the relationship between two time series data sets is canonical correlations; however, it is linear and cannot accommodate more complex scenarios, such as time series data for ...

    • Recommending Whom to Follow on GitHub 

      Sarwar, Muhammad Usman (North Dakota State University, 2021)
      Social networking activities on GitHub allow the construction of interesting interaction networks. One such network is `follow-network' which enables an effective information dissemination process. As a result, GitHub users ...

    • Recruiting Through Identification: Identification Strategies and Tactics Used in External Higher Education Strategic Communication 

      Anderson, Dana Raye (North Dakota State University, 2010)
      This exploratory study examines higher education strategic communication for identification inducement strategies and tactics using Cheney's (1983) typology as a guiding framework. The study also explores the differences ...

    • Resource and Bandwidth Allocation in Hybrid Wireless Mobile Networks 

      Bengfort, Benjamin John (North Dakota State University, 2010)
      In the lead up to the implementation of 802.16 and 4G wireless networks, there have been many proposals for addition of multi-hop MANET zones or relay stations in order to cut the cost of building a new backbone ...