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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 technologies, the gap between...
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...
Web services for image analytics to enable feedback control of remote instrumentation in CNT growth
(University of Missouri--Columbia, 2023)
applications. In this thesis, we present a set of novel web services that are part of a Remote Instrumentation Science Environment (RISE) that features chatbot guided capabilities to navigate a number of functions related to remote instrument control and image...
Image matching and image super-resolution via deep learning
(University of Missouri--Columbia, 2018)
pipeline that builds upon traditional keypoint matching techniques and uses contextual information and mid-level information to handle these challenging scenarios. For visualization problem, we proposes a novel deep learning based approach that can generate...
Hierarchical cloud-fog platform for data import from network-edge applications
(University of Missouri--Columbia, 2016)
and technologies that enable situation awareness. This leads to misdirected and delayed triage of scene-wide critically injured patients, especially when there are large numbers of patients needing diverse care levels. A hierarchical cloud-fog architecture...
Custom templates based heterogeneous resource allocation for data-intensive applications
(University of Missouri--Columbia, 2020)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI-COLUMBIA AT REQUEST OF AUTHOR.] The increase of data-intensive applications in science and engineering fields (i.e., bioinformatics, cybermanufacturing) demand the use of high-performance computing...
Protein tertiary structure prediction and refinement using deep learning
(University of Missouri--Columbia, 2022)
-residue contact/distance prediction has been significantly advanced by the coevolutionary analysis and the application of deep learning with reasonably high accuracy. As a result, protein structure prediction in the three-dimension, especially the ab initio...
Privacy preservation in mobile social networks
(University of Missouri--Columbia, 2019)
In this day and age with the prevalence of smartphones, networking has evolved in an intricate and complex way. With the help of a technology-driven society, the term "social networking" was created and came to mean using media platforms...
Protein contact distance and structure prediction driven by deep learning
(University of Missouri--Columbia, 2023)
structures, also known as quaternary structures. In recent years, the advancement of deep learning techniques and the continuous expansion of protein sequence databases has significantly improved the accuracy of protein contact distance prediction...
A system for large-scale image and video retrieval on everyday scenes
(University of Missouri--Columbia, 2022)
for systems that can enable scalable and efficient search, we propose QIK (Querying Images Using Contextual Knowledge). QIK leverages advances in deep learning (DL) and natural language processing (NLP) for scene understanding to enable large-scale multimedia...
Single and multi-object video tracking using local and deep architectures
(University of Missouri--Columbia, 2022)
-object tracking (MOT) system of sized objects, requires novel approaches for visual appearance adaptation and generalized learning to handle challenging cases including object shape and viewpoint invariance, illumination invariance, complex object dynamics...
Estimation and tracking of elder activity levels for health event prediction
(University of Missouri--Columbia, 2009)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Significant declines in quality of life for elders in assisted living communities are typically triggered by health events. Given the necessary information, such events can...
Structural modeling of the 3D genome using machine learning
(University of Missouri--Columbia, 2021)
conformation database, the development of a novel, deep-learning based strategy for the enhancement of Hi-C data, The development of deep learning approach for domain identification using epigenetic features, and the development of a novel computational tool...
Bioinformatics methods for protein identification using peptide mass fingerprinting data
(University of Missouri--Columbia, 2009)
Protein identification using mass spectrometry is an important yet partially solved problem in the study of proteomics during the post-genomic era. The major techniques used in mass spectrometry are Peptide Mass Fingerprinting ...
Statistical inference in wireless sensor and mobile networks
(University of Missouri--Columbia, 2010)
services. In the problem of prediction, we focus on the area of traffic sensor data prediction and present an analytical method to derive the spatial correlation model. We show that the analytical method acquires close estimation to the learned correlation...
Towards automated and explorative characterization of nano-energetic material response to directed energy
(University of Missouri--Columbia, 2023)
image features for characterizing reaction type. To perform the classification, we began with hand-crafted features and ensemble machine learning. Building on this, we modified a state-of-the-art transformer-based model for change detection to perform...
A new approach to data backup
(University of Missouri--Columbia, 2010)
Backing up data in order to protect against its possible loss is important. As more and more data is stored the burden of storing large amounts of backup data becomes significant. This thesis discusses the design and ...
Information management and security protection for internet of vehicles
(University of Missouri--Columbia, 2022)
the fundamental support of information management for the Internet of Vehicles. The proposed approach delivers messages via a self-organized moving-zone-based architecture formed using pure vehicle-to-vehicle communication and integrates moving object modeling...
Dynamically-scalable distributed cluster and cloud computing framework for IoT media data
(University of Missouri--Columbia, 2018)
the challenges is that this data is very heterogeneous, including device or human activity trace data, structured data, sensor information, and media data. The computing needs for the IoT continue to rise in terms of scalable compute power, storage, and complex...
Deep heterogeneous superpixel neural networks for image analysis and feature extraction
(University of Missouri--Columbia, 2021)
the capability to dissect out relevant object components from other background noise by spatially re-organizing visual features. Specifically, we have created superpixel models that join graphical neural network techniques and multiple-instance learning...