• Deep Learning for Semi-Automated Brain Claustrum Segmentation on Magnetic Resonance (MR) Images 

    Albishri, Ahmed Awad H. (University of Missouri--Kansas City, 2018)
    In recent years, Deep Learning (DL) has shown promising results with regard to conducting AI tasks such as computer vision and speech recognition. Specifically, DL demonstrated the state-of-the-art in computer vision ...
  • iMOST: Intelligent Motion-Sensing Approaches for Tracking Emotion 

    Choi, Sarah (University of Missouri -- Kansas City, 2018)
    The aged, minor, and disease members often find it hard to express themselves. They are not fully aware of their need for any help or how to ask for help. The lack of communication ability decreases the quality of life and ...
  • MDRED: Multi-Modal Multi-Task Distributed Recognition for Event Detection 

    Nandigam, Nageswara Rao (University of Missouri -- Kansas City, 2018)
    Understanding users’ context is essential in emerging mobile sensing applications, such as Metal Detector, Glint Finder, Facefirst. Over the last decade, Machine Learning (ML) techniques have evolved dramatically for ...
  • Multi-Modal Topic Sentiment Analytics for Twitter 

    Junaid, Sidrah (University of Missouri -- Kansas City, 2018)
    Sentiment analysis has proven to be very successful in text applications. Social media is also considered a quite rich source to get data regarding user’s behaviors and preference. Identifying social context would make ...
  • Qualitative Software Engineering and Parallel Sorting Algorithm for Real Numbers 

    Syed, Md Usman Gani (University of Missouri -- Kansas City, 2018)
    The research work consists of two parts. Part one is about qualitative software engineering and Event-B modelling for class and Use case diagrams. Now a days distributed and parallel applications are most popular and ...
  • SAF-DL: Semantic Analysis Framework for Deep Learning Open Source Projects 

    Tripathi, Rashmi (University of Missouri--Kansas City, 2018)
    There are a lot of open source projects available on the internet. Specifically, due to the increasing interest of Deep Learning (DL), the number of DL open source projects is also increased. This project is motivated ...
  • Toward smart Mobility by Enhancing Travel-Time Reliability 

    Sankarasetty, Avinash (University of Missouri -- Kansas City, 2018)
    Here is my abstract – Smart mobility is an essential element in building smart cities. To realize connected and automated smart mobility as a service, the capability to efficiently estimate the travel-time reliability ...