Now showing items 320-339 of 405

    • Scalable Algorithms for Mining Maximal Quasi Frequent Subnetworks 

      El Radie, Eihab Salah (North Dakota State University, 2018)
      Frequent graph mining has received considerable attention from researchers. Existing algorithms for frequent subgraph mining do not scale for large networks, and take hours to finish. Mining multiple gene coexpressions ...
    • Scalable Particle Swarm Optimization and Differential Evolution Approaches Applied to Classification 

      Al-Sawwa, Jamil (North Dakota State University, 2019)
      Applying the nature-inspired methods in the data mining area has been gaining more attention by researchers. Classification is one of the data mining tasks which aims to analyze historical data by discovering hidden ...
    • 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 ...
    • Scheduling Smart Home Appliances using Goal Programming with Priority 

      Bu, Honggang (North Dakota State University, 2016)
      Driven by the advancement of smart electrical grid technologies, automated home energy management systems are being increasingly and extensively studied, developed, and widely accepted. A system like this is indispensable ...
    • A Secure and Reliable Interference-Aware Wireless Mesh Network Design 

      Kandah, Farah Issa (North Dakota State University, 2012)
      A wireless mesh network (WMN) is a multihop wireless network consisting of a large number of wireless nodes of which some are called gateway nodes and connected with a wired network. Wireless mesh network have attracted ...
    • 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 and Opinion Mining on Twitter with GMO Keyword 

      Li, Hanzhe (North Dakota State University, 2016)
      Twitter are a new source of information for data mining techniques. Messages posted through Twitter provide a major information source to gauge public sentiment on topics ranging from politics to fashion trends. The purpose ...
    • Sentiment Analysis of COVID-19 Vaccination Impact on Twitter Tweets Using NLP Supervised Learning and RNN Classification Comparison 

      Ahmed, Tanvir (North Dakota State University, 2022)
      Twitter provides a platform for exchanging information and opinions on global concerns like the COVID-19 epidemic. During the COVID-19 pandemic, we used a collection of around 16,180 tweets to derive inferences regarding ...
    • 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 ...
    • Simian Plus: A Mission Simulation Enhancement Toolkit 

      Dayala, Divya (North Dakota State University, 2014)
      Unmanned Air Vehicles (UAVs) have the ability to execute missions that include detecting and destroying the targets. The Simian simulator developed at NDSU performs complex motion calculations for moment - moment flight ...
    • Simple Identity Manager 

      Kolluru, Sunil (North Dakota State University, 2014)
      Identity management is a key area for any enterprise. Maintaining user profiles, including e-mail, passwords, and other personal information, and providing a way to manage them is ubiquitous for any company. Specifically, ...
    • Simulating Multi-Agent Decision Making for a Self Healing Smart Grid 

      Bou ghosn, Steve Martin (North Dakota State University, 2013)
      Dynamic real-time power systems like the national power grid operate in continuously changing environments such as adverse weather conditions, power line malfunctions, device failures, etc. These disruptions can lead to ...
    • Simulation of Forward Air Controller Missions with Pop-Up Targets 

      Sikharam, Sandeep (North Dakota State University, 2013)
      Orion is a Java-based framework that is used to develop different battlefield scenarios that involve unmanned air vehicles. There are currently four missions in the Orion framework. They are the track, sweep, patrol, and ...
    • Sliding Window Based Technique to Obtain Correlation Between Field Variables 

      Chavan, Harshada Chandrakant (North Dakota State University, 2015)
      In agriculture, finding correlation between field variables such as yield, NDVI, etc. is a classic problem. The most popular solution for finding correlation is to use regression analysis over complete field. In a field, ...