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Now showing items 21-40 of 317
Multi-modal and multi-dimensional biomedical image data analysis using deep learning
(University of Missouri--Columbia, 2023)
There is a growing need for the development of computational methods and tools for automated, objective, and quantitative analysis of biomedical signal and image data to facilitate disease and treatment monitoring, early ...
Applications of deep neural networks to protein structure prediction
(University of Missouri--Columbia, 2018)
Protein secondary structure, backbone torsion angle and other secondary structure features can provide useful information for protein 3D structure prediction and protein functions. Deep learning offers a new opportunity ...
Energy-aware mobile edge computing for low-latency visual data processing
(University of Missouri--Columbia, 2017)
New paradigms such as Mobile Edge Computing (MEC) are becoming feasible for use in e.g., real-time decision-making during disaster incident response to handle the data deluge occurring in the network edge. However, MEC ...
Machine learning methods for 3D object classification and segmentation
(University of Missouri--Columbia, 2018)
Object understanding is a fundamental problem in computer vision and it has been extensively researched in recent years thanks to the availability of powerful GPUs and labelled data, especially in the context of images. ...
Probabilistic graphical models for protein structure prediction
(University of Missouri--Columbia, 2016)
Computationally predicting the folded and functional three-dimensional structure of a protein molecule from its amino acid sequence with high degree of accuracy is critically important in structural bioinformatics and has ...
Genome data analysis, protein function and structure prediction by machine learning techniques
(University of Missouri--Columbia, 2016)
The raw information of a typical human genome has been generated at 2001 by Human Genome Project. However, since there are a huge amount of data, it is still a big challenge for people to understand them, and extract useful ...
In-memory distributed indexing for large-scale media data retrieval
(University of Missouri--Columbia, 2017)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Multimedia data includes various media types such as text, image and video. Recent research has shown that media data retrieval serves a critical role ...
Lightweight IoT security middleware for end-to-end cloud-fog communication
(University of Missouri--Columbia, 2017)
IoT (Internet of Things) based smart devices such as sensors and wearables have been actively used in edge clouds i.e., 'fogs' to provide critical data during scenarios ranging from e.g., disaster response to in-home ...
Extending and applying properties of the uc generalized matrix inverse
(University of Missouri--Columbia, 2018)
The recent development of a generalized matrix inverse which preserves the units of state variables is very important for many areas of science and technology. In this thesis we derive new mathematical results for this ...
Automatic geospatial content summarization and visibility enhancement by dehazing in aerial imagery
(University of Missouri--Columbia, 2017)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The objective of this work is to develop a methodology to summarize the content of a long sequential geospatial video using a few geospatial coverage ...
An examination of fast similarity search trees with gating
(University of Missouri--Columbia, 2016)
The emergence of complex data objects that must be indexed and queried in databases has created a need for access methods that are both generic and efficient. Traditional search algorithms that only check specified fields ...
An algorithm for the automatic construction of Bayesian networks with limited domain knowledge, as applied to the prediction of economic and development indicators of 248 countries and world regions
(University of Missouri--Columbia, 2016)
Humans have a natural tendency to express knowledge in terms of generalities, instead of individually measurable variables. However, to make for computers to make sense of a domain, information must be expressed in terms ...
Template-based methods for protein model quality assessment
(University of Missouri--Columbia, 2016)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Protein structure prediction is an important open problem in the bioinformatics filed. One of the difficulties of solving this problem is to develop ...
Design and implementation of orthopedic trauma surgery rehabilitation and health monitoring system (OTSRS)
(University of Missouri--Columbia, 2016)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] A very common problem relating to rehabilitation of orthopedic trauma surgery is that patients do not have access, whether for financial reasons or ...
Intelligent user interfaces for internet-of-things based web applications
(University of Missouri--Columbia, 2016)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] There is a growing need for Intelligent User Interfaces to visually make sense of the enormous data that is being created within web applications that ...
Hierarchical cloud-fog platform for data import from network-edge applications
(University of Missouri--Columbia, 2016)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Communication and coordination in a mass casualty disaster scenario is limited and difficult for medical personnel in the absence of necessary cyber ...
Intelligent fall detection system for eldercare
(University of Missouri--Columbia, 2014)
Fall among elders is a main reason to cause accidental death among the population over the age 65 in United States. The fall detection methods have been brought into scene by implemented on different fall monitoring devices. ...
Multi-modality fusion : registering photographs, videos, and LIDAR range scans
(University of Missouri--Columbia, 2016)
2D images and 3D LIDAR range scans provide very different but complementing information about a single subject and, when registered, can be used for a variety of exciting applications. Video sets can be fused with a 3D ...
Three dimensional reconstruction of plant roots via low energy x-ray computed tomography
(University of Missouri--Columbia, 2018)
Plant roots are vital organs for water and nutrient uptake. The structure and spatial distribution of plant roots in the soil affects a plant's physiological functions such as soil-based resource acquisition, yield and its ...
Gene expression prediction based on deep learning
(University of Missouri--Columbia, 2016)
Gene expression is a critical process in a biological system that is influenced and modulated by many factors including genetic variation. Thus, it is important to understand how genotypes affect the gene expression levels. ...