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Now showing items 21-40 of 124
Conversation understanding and realistic artificial crash data generation with deep learning
(University of Missouri--Columbia, 2023)
. Formality-BERT is trained on a public dataset that contains four genres of text and outperforms existing models by 14 points on the Spearman correlation between predicted formality and human-labeled formality for four genres. We propose Politeness...
User experience and robustness in social virtual reality applications
(University of Missouri--Columbia, 2020)
Cloud-based applications that rely on emerging technologies such as social virtual reality are increasingly being deployed at high-scale in e.g., remote-learning, public safety, and healthcare. These applications increasingly need mechanisms...
A novel framework for protein structure prediction
(University of Missouri--Columbia, 2007)
Proteins are one of the most important molecules in the life processes. The structure of a protein is essential in understanding the function of a protein at the molecular level. Due to rapid progress in sequencing ...
Transcoding transport stream mpeg2
(University of Missouri--Columbia, 2007)
. In addition, the comparison of the transcoded video is made by measuring its Peak Signal to Noise Ratio and the compression statistics....
Clinical content tracking system: an efficient request tracking via a graphical user interface
(University of Missouri--Columbia, 2007)
in the system to statistics and hence, maximize efficiency on the managerial level. The main motivation behind this research is to develop an adaptive system that can be configured or customized to meet the needs of various health institutes....
New consensus-based algorithms for quality assessment in protein structure prediction
(University of Missouri--Columbia, 2010)
Two of the essential tasks in protein tertiary structure prediction are predicting quality and selecting the best quality model from given model structures. Finding solutions to these problems are fundamental to understanding ...
Defeat data poisoning attacks on facial recognition applications
(University of Missouri--Columbia, 2021)
In the modern era, facial photos are used for a wide array of applications, from logging into a smartphone to bragging about a weekend getaway. With the vast amount of use cases for facial images, adversaries will attack ...
Multi-dimensional scaling and MODELLER based evolutionary algorithms for protein model refinement
(University of Missouri--Columbia, 2013)
, respectively. The MDS-based method takes a purely geometrical approach and generates a child model by combining the contact maps of multiple parents. The MODELLER-based method takes a statistical and energy minimization approach and uses the remodeling module...
Improving object recognition in aerial image and ambulatory assessment analysis by deep learning
(University of Missouri--Columbia, 2019)
ADA, has been proposed to improve the automatic detection of alcohol usage (ADA) system, which is statistical data analysis pipeline to detect drinking episodes based on wearable physiological sensor data collected from real subjects. Object detection...
Ensemble methods in large vocabulary continuous speech recognition
(University of Missouri--Columbia, 2008)
Combining a group of classifiers and therefore improving the overall classification performance is a young and promising direction in Large Vocabulary Continuous Speech Recognition (LVCSR). Previous works on acoustic ...
Fuzzy-based conversational recommender for data-intensive science gateway applications
(University of Missouri--Columbia, 2018)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Neuro-scientists are increasingly relying on parallel and distributed computing resources for analysis and visualization of their neuron simulations. ...
Fuzzy-based conversational recommender for data-intensive science gateway applications
(University of Missouri--Columbia, 2018)
Neuro-scientists are increasingly relying on parallel and distributed computing resources for analysis and visualization of their neuron simulations. Although science gateways (SG) have democratized relevant high ...
Building environmentally-aware classifiers on streaming data
(University of Missouri--Columbia, 2022)
) for solving the same task. SPC maintains a fixed number of structures to model the data stream. These structures can be updated and merged based only on their "footprints", that is, summary statistics that contain all of the information from the stream needed...
Selecting data for multilingual multi-domain neural machine translation on low resource languages
(University of Missouri--Columbia, 2020)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] While machine translation has achieved impressive results on the world's most widely spoken languages, thousands of languages do not have the quantity ...
Content extraction, analysis, and retrieval for plant visual traits studies
(University of Missouri--Columbia, 2008)
In recent years, automatic content extraction, analysis and retrieval for plant visual trait studies play a more important role than ever before, because traditional manual processing suffers two major issues: excessive ...
AMD, analysis of mood dysregulation : a machine learning approach
(University of Missouri--Columbia, 2016)
There is a popular saying, "Stress kills." This statement can be true with repeated exposures to psychological mood dysregulation, which can lead to or worsen stress related conditions such as heart disease and cancer. ...
Enhancing network-edge connectivity and computation security in drone video analytics
(University of Missouri--Columbia, 2020)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI--COLUMBIA AT REQUEST OF AUTHOR.] Unmanned Aerial Vehicle (UAV) systems with high-resolution video cameras are used for many operations such as aerial imaging, search and ...
Confocal microscopy imaging analysis of plant morphodynamics
(University of Missouri--Columbia, 2010)
Pollen tubes are delivery mechanisms in a plant's reproductive cycle. Morphodynamic analysis of these microscopic structures provide biologists with insight into the inner workings of these structures. This thesis presents ...
On the relationship between generalized covariance union and the minimal enclosing ellipsoid problem
(University of Missouri--Columbia, 2008)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Examination of the behavior of Generalized Covariance Union (GCU) reveals a previously unsuspected superficial relationship to the problem of finding ...
Enhancement of adaptive de-correlation filtering separation model for robust speech recognition
(University of Missouri--Columbia, 2007)
The development of automatic speech recognition (ASR) technology has enabled an increasing number of applications. However, the robustness of ASR under real acoustic environments still remains to be a challenge for practical ...