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VirtualMindTrial: An Intelligent Questionnaire System for Clinical Trail Recruitment
(University of Missouri--Kansas City, 2010)
The recruitment of human subjects for clinical trials research is a critically important step in the discovery of new cures for diseases. Volunteers are subjected to an elaborate questionnaire process in current recruitment ...
Topic Sentiment Trend Detection and Prediction for Social Media
(2020)
it is in the pacification and prevention of concerns related to epidemics, like opioids. The proposed framework was also applied to the Twitter data as well as New York Times articles on opioids over ten years, from 2010 to 2019. The results of this study have shown some...
Semantic Frameworks for Document and Ontology Clustering
(University of Missouri--Kansas City, 2011-01-20)
The Internet has made it possible, in principle, for scientists to quickly find research papers of interest. In practice, the overwhelming volume of publications makes this a time consuming task. It is, therefore, important ...
Second chance competitive autoencoders for understanding textual data
(2021)
Every day, an enormous amount of text data is produced. Sources of text data include news, social media, emails, text messages, medical reports, scientific publications, and fiction. To keep track of this data, there are ...
Event driven querying of semantic sensor web services
(University of Missouri--Kansas City, 2012-05-15)
In today's world, there is a tremendous increase in the usage of sensor technology in several fields including agriculture, medicine, and weather. Sensors either in-site or remotely placed are usually deployed in the form ...
CSISE: cloud-based semantic image search engine
(2014-03-27)
Due to rapid exponential growth in data, a couple of challenges we face today are how to handle big data and analyze large data sets. An IBM study showed the amount of data created in the last two years alone is 90% of the ...
Distributed Collaborative Framework for Deep Learning in Object Detection
(2020)
Object detection has gained much attention in recent years because of its ability to localize and classify the objects in videos and images that can be incorporated into many applications. Traditional object detection ...
Topic network: a semantic model for effective learning
(University of Missouri--Kansas City, 2011-06-08)
There has been tremendous interest in sharing and retrieving information through the Web. A
search engine can be used to retrieve relevant web documents. However, the sheer volume of
results returned often requires ...
Distributed RDF query processing and reasoning for big data / linked data
(2014-08-27)
The Linked Data Movement is aimed at converting unstructured and semi-structured
data on the documents to semantically connected documents called the "web of data." This is
based on Resource Description Framework (RDF) ...
Situation Aware Mobile Apps Framework
(University of Missouri--Kansas City, 2012-10-03)
Mobile devices, like smart phones or tablets, have become ubiquitous, with their adoption being driven by their immediacy and sensing capabilities. Applications, or apps, that run on portable computing devices have surged ...
Identifying personality and topics of social media
(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 ...
Multiple-valued logic: technology and circuit implementation
(2021)
Computing technologies are currently based on the binary logic/number system, which is dependent on the simple on and off switching mechanism of the prevailing transistors. With the exponential increase of data processing ...
Multi-Modal Topic Sentiment Analytics for Twitter
(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 ...
Deep Assertion discovery using word embeddings
(University of Missouri -- Kansas City, 2018)
In recent years, there has been explosive growth in the amount of biomedical data
(e.g., publications, notes from EHRs, clinical trial results), with the majority being
unstructured data. As the volume of data is ...
Active Mobile Interface for smart health
(2013)
Computer interfaces are rapidly evolving beyond the traditional keyboard-mouse-monitor triad. The widespread availability of touch screens and voice recognition software has made it possible to execute commands in many ...
Social Bridge: searching beyond Friend of a Friend networks
(University of Missouri--Kansas City, 2012-06-11)
Social networking has turned into an integral constituent in our lives. There appears
to be an imperative demand for finding and linking with others to share one's day-to-day
activities. However, currently available ...
Software Analytics for Improving Program Comprehension
(2021)
Program comprehension is an essential part of software development and maintenance. Traditional methods of program comprehension, such as reviewing the codebase and documentation, are still challenging for understanding ...
Feature-based Analysis for Open Source using Big Data Analytics
(2015)
The open source code base has increased enormously and hence understanding the functionality of the projects has become extremely difficult. The existing approaches of feature discovery that aim to identify functionality ...
DeepSampling: Image Sampling Technique for Cost-Effective Deep Learning
(2020)
Deep learning is beneficial from big data while facing computationally expensive, with an increase in data size. Some severe data issues, such as the presence of highly skewed, sparse, and imbalanced data, would substantially ...
On-chip Voltage Regulator– Circuit Design and Automation
(2021)
With the increase of density and complexity of high-performance integrated circuits and systems, including many-core chips and system-on-chip (SoC), it is becoming difficult to meet the power delivery and regulation ...