• Automated Software to Count Stains in Immunostaining Applications 

    Anusha, Katika (University of Missouri -- Kansas City, 2019)
    Quantification of cells from immunostained images is a vital procedure in biomedical analysis, as it helps in the measurement of proliferation, immunodetection and differentiation of nuclear markers, which in turn play ...
  • Characterizing Road Conditions via Smart Mobile Crowd Sourcing 

    Shorter, Dustin (University of Missouri -- Kansas City, 2019)
    Bad road conditions can cause vehicle damage and create hazardous driving conditions. Current reporting methods for bad road conditions is a burden for the reporter, so much so that these conditions might not be ...
  • Identifying personality and topics of social media 

    Muppala, Trinadha Rajeswari (2019)
    Twitter and Facebook are the renowned social networking platforms where users post, share, interact and express to the world, their interests, personality, and behavioral information. User-created content on social media ...
  • KB4DL: Building a Knowledge Base for Deep Learning 

    Punyamurtula, Ruthvic (University of Missouri -- Kansas City, 2019)
    Deep Learning (DL) has received considerable attention from the AI community. However, we suffer from the lack of ability in interpretation and annotation of the outcomes from extensive and exhausting learning efforts. ...
  • A Model for Estimating Bike Lane Demand 

    Vadakattu, Aadarsh (University of Missouri -- Kansas City, 2019)
    Unfortunately, bike-related accidents are very common. Some of these accidents can be deadly. Most of the times, these accidents happen due to the lack of a safer means of commute, a bike lane. Further, many citizens ...
  • Multi-modal emotion detection using deep learning for interpersonal communication analytics 

    Gogadi, Sravanthi (2019)
    In recent years, deep learning technologies have been increasingly applied to generate meaningful data for advanced research in humanities and sciences. Interpersonal communication skills are crucial to success in science. ...
  • Parking Availability Forecasting Model 

    Boorlu, Manohar (University of Missouri -- Kansas City, 2019)
    Parking is increasingly an issue in the world today especially in large and growing cities with contemporary urban mobility. The effort spent in searching for available parking spots results in significant loss of ...
  • Searching in a Sorted Linked List and Sort Integers into a Linked List 

    Koganti, Hemasree (University of Missouri -- Kansas City, 2019)
    The research work consists of two parts. Part one is about Searching for an integer in a sorted Linked list. A tree is constructed in O(nloglogm/p+loglogm) time with p processors based on the trie with all the given ...
  • TaskDo: A Daily Task Recommender System 

    Gurram, Nikhil Sai Santosh (University of Missouri -- Kansas City, 2019)
    Time is a constant entity and an invaluable element for every living person on this planet. Even with all modern-day technologies being available, many individuals like working professionals, students, and house makers ...