Browsing Computer Science Masters Papers by Title

Now showing items 191-210 of 249

    • 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 ...

    • 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 ...

    • Replication with Incentives in Centralized Peer to Peer Networks 

      Mudgal, Akshay (North Dakota State University, 2013)
      We are living in a digital age in which data production has become so ubiquitous that the demand for sharing will increase as more aspects of life become digital. There are several ways we share data: via websites and ...

    • Requirement Eliciting Process: A Method To Analyze Requirements Through Concept Maps 

      Fonseka, Marie Nilukshi (North Dakota State University, 2014)
      Conceptual modeling involves the understanding and communication between system analysts and end-users. Concept maps (CM) are informal, semantic, node-link conceptual graphs used to represent knowledge in a variety of ...

    • Review Mining: Hierarchy Generation for Online Reviews 

      Rajan, Prateek (North Dakota State University, 2015)
      In the present world of ecommerce more and more products are purchased and sold online then via any other medium. With such massive drive in online shopping more and more information is being added every day on web regarding ...

    • Role of Bias in Information Warfare: Classifying Fake News Articles Using Natural Language Processing 

      Gurmeet (North Dakota State University, 2020)
      The way that people consume news, entertainment and media has been changed. The print media and even television have started to become obsolete. In this digital age, social media being the biggest news source for the masses ...

    • Scheduling of Appliances Based on Sensitivity to Dynamic Pricing in a Smart Grid 

      Saha, Barsha (North Dakota State University, 2013)
      The work described in this paper models the scheduling of smart home appliances of different types of consumers based on their sensitivity to dynamic price changes. The price sensitivity is established on a scale of 0 to ...

    • Semantic-Based Publish/Subscribe System in Social Network 

      Jahan, Farzana (North Dakota State University, 2014)
      The publish/subscribe model has become a prevalent paradigm for building distributed notification services by decoupling the publishers and the subscribers from each other. The semantics-based publish/subscribe system ...

    • Semantics-Based Calorie Calculator 

      Narra, Sravan Raghu Kumar (North Dakota State University, 2017)
      In recent years, people are considering healthy diet habits and many of them are trying to track and maintain their daily diet and consumption. To assist them, there are many applications available online and those ...

    • Semantics-Enhanced Privacy Recommendation for Social Networking Sites 

      Li, Qingrui (North Dakota State University, 2012)
      Privacy protection is a vital issue for safe social interactions within social networking sites (SNS). Although SNSs such as MySpace and Facebook allow users to configure their privacy settings, the task is difficult ...

    • Sentiment Analysis of Global Warming Using Twitter Data 

      Mucha, Nithisha (North Dakota State University, 2018)
      Global warming or climate change is one of the most discussed topics of the decade. Some people think global warming is a severe threat to the planet whereas some people think, it is a hoax. The goal of this paper is to ...

    • Sentiment Analysis of Tweets for Hate Speech Detection Using Binary Classification Algorithms and BERT 

      Kaur, Manveer (North Dakota State University, 2023)
      In the modern world, social media wields a lot of power. Twitter, particularly, has provided people a platform to express their opinions about everything under the sun from mundane everyday life to politics, race, religion ...

    • Sentiment Analysis on Twitter Data Using Different Algorithms 

      Nazma, Monzuma (North Dakota State University, 2018)
      Sentiment analysis is the process of determining opinion expressed in a text, or an estimation of emotion related to the certain topic if it is negative, positive or neutral. The massive growth of social media, Twitter has ...

    • Shortest Path in a Wireless Sensor Network with Multiple Sensor Failures 

      Poreddy, Sandeep Reddy (North Dakota State University, 2011)
      This paper shows how a shortest path can be obtained in a wireless sensor network, between a source sensor and a destination sensor, in a hop-by-hop fashion, considering multiple sensor failures along the path of data ...

    • Signature Extraction from E-Mails 

      Muttineni, Divya (North Dakota State University, 2016)
      Detecting user identity information from the email is one of the predominant exploring topics in data mining. One approach is to extract signature from the body of emails. Those names are usually suitable for representing ...