Browsing Computer Science by Title

Now showing items 296-315 of 408

    • Power Consumption for iOS 

      Kwete, Yannick Mingashanga (North Dakota State University, 2014)
      The shift from traditional software development for personal computers to mobile applications on iOS comes with new challenges and considerations. Software development teams similar to my work group built expertise in ...

    • Prediction Accuracy of Financial Data - Applying Several Resampling Techniques 

      Ali, Mohammad Reza (North Dakota State University, 2020)
      With the help of Data Mining and Machine Learning, prediction has been a very popular and demanding instrument to plan and accomplish a future goal. The financial sector is one of the crucial sectors of present human ...

    • Prediction of Rental Demand for a Bike-Share Program 

      Nekkanti, Om prakash (North Dakota State University, 2017)
      In recent years, bike-sharing programs have become more prevalent. Bicycle usage can be affected by different factors, such as nearby events, road closures, and on-campus traffic policies. The research presented here ...

    • Predictive Performance Evaluation of Different Neural Networks Using Stock Prices 

      Nyavanandi, Deepika (North Dakota State University, 2019)
      Forecasting stock market prices has been a challenging task due to its volatile nature and nonlinearity. Recently, artificial neural networks (ANNs) have become popular in solving a variety of scientific and financial ...

    • 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 ...

    • Processing Geographic Information Systems Data for Data Mining 

      Ahuja, Sarthak (North Dakota State University, 2013)
      Spatial data, including image data, are typically downloaded into GIS systems for processing purposes. The GIS data are optimized for establishing spatial relationships among objects. Spatial data can be produced rapidly ...

    • Project Quality Tool: A Tool for Project Success 

      Srichinta, Pallavi (North Dakota State University, 2014)
      This paper proposes a solution to the current changing requirements communication problem in an offshore on-site software development model. The proposed model is a web-based tool where the user in a project team can enter ...

    • Project Tracker and Organizer 

      Kambhampaty, Krishna Kanth (North Dakota State University, 2015)
      A Project Tracking and Organizer is a software tool which is a simple, fast and an efficient way to assign modules of a project to employees and track the progress of a project. Using this software, project status can be ...

    • Protein Functional Site Prediction Using the Shortest-Path Graph Kernel Method 

      Benaragama Vidanelage, Malinda Vikum Sanjaka (North Dakota State University, 2013)
      Over the past decade Structural Genomics projects have accumulated structural data for over 75,000 proteins, but the function of most of them are unknown due to limitation of laboratory approaches for discovering the ...

    • Protein-Function Prediction Using a Graph-Matching Algorithm 

      Shrestha, Sarjan (North Dakota State University, 2014)
      Proteins are the basic building blocks for biological life. Proteins interact with other proteins or molecules to carry out various functions. The active region in the protein molecule is the functional site. Today, most ...

    • 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 ...

    • Real Parameter Optimization Using Differential Evolution 

      Dawar, Deepak (North Dakota State University, 2013)
      Over recent years, Evolutionary Algorithms (EA) have emerged as a practical approach to solve hard optimization problems presented in real life. The inherent advantage of EA over other types of numerical optimization methods ...

    • A Realistic and Reliable Approach for Real Time Monitoring of Infrastructure 

      Garg, Rakhen (North Dakota State University, 2020)
      Rapid advancements in the field of site reliability engineering in the past few decades have made it an indispensable part of how humans create scalable and highly reliable software systems. The inherent need of a reliable ...

    • The Realization of Visualization and Prediction Models 

      Wang, Yijun (North Dakota State University, 2015)
      Visualization is a specific technique for building images, animations or diagrams to communicate a message [1]. Nowadays, it effective to communicate both abstract and concrete ideas for big data by visual imagery. ...

    • Recommendation of Business Intelligence Tool 

      Chhina, Ramneet (North Dakota State University, 2016)
      Business Intelligence (BI) is extremely vital for organizations for delivering useful information from the large volumes of data being collected. There are many BI tools available but no single tool is appropriate for every ...

    • 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 ...

    • Red River Flood Monitor iOS Application 

      Singh, Saumya (North Dakota State University, 2013)
      The Flood Monitor system is designed to help people share photos and information in case of a flood in the basin of the Red River. This work is part of the redesign of an application that has the goal of enabling mobile ...

    • Region Based Data Mining on Agriculture Data 

      Battu, Babitha (North Dakota State University, 2015)
      Spatial Data Mining is the process of discovering interesting and previously unknown, but potentially useful patterns from large spatial databases. Most relationships in spatial datasets are regional and there is a great ...

    • REND: Reliable and Energy-Efficient Node-Disjoint Paths in Wireless Sensor Networks 

      Yanteru, Siva (North Dakota State University, 2010)
      In wireless sensor networks, finding most reliable and most efficient paths between source node and destination node is considered NP hard problem. We can increase reliability by ability to find node-disjoint alternate ...