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Fast inpainting algorithm for real-time video inpainting problem
(University of Missouri--Columbia, 2016)
The paper examines a simple and efficient method to solve the digital inpainting problem with a reasonable result by processing the information locally around the painting area. The method is based on a unique matrix transformation algorithm. It can...
PRO3DCNN : convolutional neural network for mapping protein structure into folds
(University of Missouri--Columbia, 2019)
Motivation: SCOPe 2.07 is a dataset of 276,231 protein domains that have been partitioned into varying folds according to their shape and function. Since a protein's fold reveals valuable information about it's shape and ...
Development of web services in academic environment
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI--COLUMBIA AT REQUEST OF AUTHOR.] The rapid growth in the use of the World Wide Web (WWW) has been noted by many researchers and practitioners. Web services have become a ...
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 ...
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. ...
Data mining student activity patterns in an interactive activity-based STEM learning environment
(University of Missouri--Columbia, 2020)
Jupyter Notebook is gaining in popularity for STEM instruction and activity-based learning. This platform for sharing interactive documents via a web interface allows instructors to combine a variety of media together with ...
Permutation compression with applications to genomic data
(University of Missouri--Columbia, 2018)
science, traditional compression techniques which are used widely for compressing integers are developed around the frequency of symbols in the dataset. However, in permutation where each integer appears exactly once, the existing algorithms developed so...
Three dimensional reconstruction of plant roots via low energy x-ray computed tomography
(University of Missouri--Columbia, 2018)
the number of false positives around root segments....
Selected techniques for vehicle tracking and assessment in wide area motion imagery
(University of Missouri--Columbia, 2010)
Tracking of vehicles in wide area motion imagery (WAMI) is very important for civilian and military surveillance. Tracking in a dataset that is characterized by very large format video with an extremely wide field-of-view ...
Relative depth estimation from single monocular images with deep convolutional network
(University of Missouri--Columbia, 2017)
Depth estimation from single monocular images is a theoretical challenge in computer vision as well as a computational challenge in practice. This thesis addresses the problem of depth estimation from single monocular ...
Data mining and machine learning methods for chromosome conformation data analysis
(University of Missouri--Columbia, 2019)
Sixteen years after the sequencing of the human genome, the Human Genome Project (HGP), and 17 years after the introduction of Chromosome Conformation Capture (3C) technologies, three-dimensional (3-D) inference and big ...
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 ...
Improving object recognition in aerial image and ambulatory assessment analysis by deep learning
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] With the widespread usage of many different types of sensors in recent years, large amounts of diverse and complex sensor data have been generated and ...
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 ...
Application of deep reinforcement learning for battery design
(University of Missouri--Columbia, 2020)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The conventional material research and development are mainly driven by human intuition, labor, and manual decision. It is ineffective and inefficient. ...
PIR sensing array for fall detection
(University of Missouri--Columbia, 2011)
The purpose of the Fuzzy PIR Fall Detection Array is to keep the elderly safe by providing a means for an immediate response to falls while still allowing them to enjoy the same independence they felt before fall detection ...
Combining shamir and additive secret sharing to improve efficiency of SMC primitives against malicious adversaries
(University of Missouri--Columbia, 2020)
Secure multi-party computation provides a wide array of protocols for mutually distrustful parties be able to securely evaluate functions of private inputs. Within recent years, many such protocols have been proposed ...
Adversarial robustness of deep learning enabled industry 4.0 prognostics
(University of Missouri--Columbia, 2020)
The advent of Industry 4.0 in automation and data exchange leads us toward a constant evolution in smart manufacturing environments, including extensive utilization of Internet-of-Things (IoT) and Deep Learning (DL). ...
Virtual web for PageRank computing
(University of Missouri--Columbia, 2018)
The enormous size and fast-evolving nature of World-Wide-Web has been demanding an even more efficient PageRank updating algorithm. Web evolution may involve two kinds: (1) link structure modification; (2) page insertion/deletion. ...
Local and deep texture features for classification of natural and biomedical images
(University of Missouri--Columbia, 2019)
Developing efficient feature descriptors is very important in many computer vision applications including biomedical image analysis. In the past two decades and before the popularity of deep learning approaches in image ...