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open access

Extracting Temporally-Anchored Knowledge from Tweets

Description: Twitter has quickly become one of the most popular social media sites. It has 313 million monthly active users, and 500 million tweets are published daily. With the massive number of tweets, Twitter users share information about a location along with the temporal awareness. In this work, I focus on tweets where author of the tweets exclusively mentions a location in the tweet. Natural language processing systems can leverage wide range of information from the tweets to build applications like … more
Date: May 2018
Creator: Doudagiri, Vivek Reddy
Partner: UNT Libraries
open access

Detecting Component Failures and Critical Components in Safety Critical Embedded Systems using Fault Tree Analysis

Description: Component failures can result in catastrophic behaviors in safety critical embedded systems, sometimes resulting in loss of life. Component failures can be treated as off nominal behaviors (ONBs) with respect to the components and sub systems involved in an embedded system. A lot of research is being carried out to tackle the problem of ONBs. These approaches are mainly focused on the states (i.e., desired and undesired states of a system at a given point of time to detect ONBs). In this paper,… more
Date: May 2018
Creator: Bhandaram, Abhinav
Partner: UNT Libraries
open access

Towards a Unilateral Sensing System for Detecting Person-to-Person Contacts

Description: The contact patterns among individuals can significantly affect the progress of an infectious outbreak within a population. Gathering data about these interaction and mixing patterns is essential to assess computational modeling of infectious diseases. Various self-report approaches have been designed in different studies to collect data about contact rates and patterns. Recent advances in sensing technology provide researchers with a bilateral automated data collection devices to facilitate co… more
Date: December 2018
Creator: Amara, Pavan Kumar
Partner: UNT Libraries
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