• MedFuseNet: Attention-based Multimodal deep learning model for Visual Question Answering in the Medical Domain 

  Sharma, Dhruv; Purushotham, Sanjay; Reddy, Chandan K. (Virginia Polytechnic Institute and State University, 2021)

  Medical images are difficult to comprehend for a person without expertise. The limited number of practitioners across the globe often face the issue of physical and mental fatigue due to the high number of cases, inducing ...

• A Semantic approach for Automating Knowledge in Policies of Cyber Insurance Services 

  Sane, Ketki (2020-01-01)

  With the rapid enhancements in technology and adoption of web services, there has been a huge increase in number of cyber threats. It has become a necessity to get a financial cover to mitigate the expenses in the security ...

• Benchmarking of Parallel Climate Data Aggregation in a Distributed Environment 

  Prakash, Deepak (2019-01-01)

  In atmospheric physics, the coverage of clouds with the frequency of its occurrence and the evaluation of different cloud properties give us Cloud Fraction. The climate data obtained from MODIS (Moderate Resolution Imaging ...

• Clustering Approaches for Anonymizing High-Dimensional Sequential Activity Data 

  Parameshwarappa, Pooja (2020-01-01)

  In the current IoT era, collection of activity data such as physical and daily activity data has become ubiquitous. Publishing activity data can facilitate personal and population health management and promote reproducible ...

• Web Search Behavior and Results Selection by Non-Native English Searchers 

  Ondego, Victor Ochieng' (2020-01-01)

  Speakers of many languages have limited content available on the web in their native languages and thus, look for information on the Internet in English. Query formulations, search results selection decisions, credibility ...

• Efficient Scientific Big Data Aggregation through Parallelization and Subsampling 

  Kay, Savio Sebastian (2019-01-01)

  ABSTRACT Title of Document: EFFICIENT SCIENTIFIC BIG DATA AGGREGATION THROUGH PARALLELIZATION AND SUBSAMPLING Savio Sebastian Kay Master of Science, Information Systems, 2019 Directed By: Dr. Jianwu Wang Assistant Professor ...

• Knowledge Discovery Through Linking Multiple Heterogeneous, Unstructured Data Streams: A Case Of Clinical Notes Mining 

  Alodadi, Mohammad Saad (2020-01-01)

  The focus of this dissertation is to discover patterns of significant relationships across unstructured, heterogeneous data streams. One such example domain is in Electronic Health Records (EHR) for text in treatments, ...

• Leveraging Information Technology to Address Challenges And Opportunities Of Informal Caregivers In Home Care Within The 30- Day Medicare Reimbursement Plan: A Qualitative Study. 

  Jademi, Onimi Precious (2020-01-01)

  In home care, especially within the 30-day Medicare plan, there has been limited systematically collected evidence about the day-to-day challenges of family caregivers and how information technology (IT) tools can be helpful ...

• Understanding Multimodal Displays to Reduce Distraction in Locomotive Engineers 

  Grice, Rachel (2019-01-01)

  Distraction is a common problem in locomotive cabs. The distractions can either be cognitive, visual, or manual. Head-Up Displays can be a way to mitigate those types of distraction. Head-Up Displays can also potentially ...

• Understanding and Supporting Collaboration Between Youth in Technical Workplaces 

  Easley, William Berkley (2020-01-20)

  Emerging digital technological advances have been a driving force in the evolution of the modern workplace. This influence extends not only to the creation of new industries and types of work, but also to how work is ...

• CAPTURING THE TRADEOFF BETWEEN KNOWLEDGE SHARING EFFICIENCY AND AUTONOMY IN SURGICAL TELEMENTORING 

  Feng, Yuanyuan (2019-01-01)

  With great advances in telecommunication technologies in the recent 15 years, tightly coupled, synchronous collaborative work in highly technical domains, such as engineering, design, and medicine, has begun to embrace ...

• Learning Fairness and Graph Deep Generation in Dynamic Environments 

  Zhang, Wenbin (2020-01-20)

  Machine learning systems are employed nowadays in an ever growing number of applications and have become a necessity in all aspects of our lives. Compared with machine learning approaches designed to work in static ...

• The Impact of trait Emotional Intelligence on Motivations to Play League of Legends 

  Viswanathan, Vaishnavvi (2020-01-20)

  Once considered highly addictive, online video games such as League of Legends (LoL) have become extremely popular the world over. Fortune 500 companies have even begun considering gaming experience on job applications. ...

• Developing an Ethical Framework for Affective Computing Applications 

  Stamato, Lydia (2020-01-20)

  Sensing technologies increasingly common in both private and public spaces present the opportunity for systems aware of and responsive to human emotion (affective computing). The personal and social consequences of affective ...

• Towards Developing Guidelines for Addressing Situationally Induced Impairments and Disabilities (SIID) and Severely Constraining Situational Impairments (SCSI) 

  Saulynas, Sidas A (2020-01-20)

  This research aims for a richer understanding of the variety and complexity of situational impairment events. Mobile users are often placed in less than ideal conditions where environmental variability can negatively affect ...

• Understanding Information Practices of International Student Saudi Mothers During their Studies in the USA 

  Rayes, Wajanat (2020-01-20)

  International student-mothers face the challenges of fulfilling their motherhood responsibilities while pursuing their studies abroad. Despite the rich literature related to international students, international student-mothers ...

• ANOMALY DETECTION ACROSS MULTI SCALE TEMPORAL DATA STREAMS FOR HUMAN BEHAVIOR MODELING 

  Quader, Faisal (2020-01-20)

  This research focuses on developing computational models for human behavior from multi scale temporal data to detect anomalous behavior, evaluating car driving behavior as a case study. Human behavioral patterns capture ...

• Raising Both the Ceiling and the Floor: Mitigating Demographic Bias in AI-based Career Counseling 

  Deshpande, Ketki Vinod (2020-01-20)

  With increasing diversity in the market as well as the work force there is an increasing chance of employers getting resumes from a diverse population. Many employers have started using automated resume screening to filter ...

• Automating GDPR Compliance using Policy Integrated Blockchain 

  Mahindrakar, Abhishek (2020-01-20)

  Data Protection regulations, like GDPR, mandate security controls to secure Personal Identifiable Information (PII) of the users which they share with service providers. With the volume of shared data reaching exascale ...

• The Work of Cybersecurity Advocates 

  Haney, Julie Marie (2020-01-20)

  Cyber attacks are on the rise, with potentially devastating effects at the personal, business, and national levels. Despite real and evolving cyber threats, people often fail to implement and effectively use basic, well-known ...

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