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Now showing items 1-14 of 14
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 ...
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. ...
A hierarchical time-indexed database for multi-modal derived sensor data using GPU-accelerated PostgreSQL
(University of Missouri--Columbia, 2023)
With the vast influx of data captured by ubiquitous sensors, such as those in wearable devices, smart sensors in long-term care facilities, and hydraulic bed sen- sors, there exists an enormous potential for exploiting ...
3D city scale reconstruction using wide area motion imagery
(University of Missouri--Columbia, 2018)
3D reconstruction is one of the most challenging but also most necessary part of computer vision. It is generally applied everywhere, from remote sensing to medical imaging and multimedia. Wide Area Motion Imagery is a ...
Applications of deep neural networks to protein structure prediction
(University of Missouri--Columbia, 2018)
previous state-of-the-art DeepCNF-SS with 71.8, 72.3, and 69.76. The proposed MUFold-SS (Deep3I) achieved highest Q8 76.47, 74.51, 72.1 on CASP 10, 11, 12. Compared to the recently released state-of-the-art tool, SPIDER3, DeepRIN reduced the Psi angle...
Next-generation DevOps for network and compute-intensive applications
(University of Missouri--Columbia, 2023)
[EMBARGOED UNTIL 5/1/2024] DevOps has emerged as a critical technology/practice in the era of rapid digital transformation, significantly enabling automation and streamlining the software as well as infrastructure development ...
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 ...
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. ...
Image matching and image super-resolution via deep learning
(University of Missouri--Columbia, 2018)
The advancement of 3D depth sensors, such as LIDAR (Light Detection And Ranging) scanners, has provided an effective alternative to traditional CAD-based and image-based approaches for 3D modeling. The output of the 3D ...
Deep heterogeneous superpixel neural networks for image analysis and feature extraction
(University of Missouri--Columbia, 2021)
Lately, deep convolutional neural networks are rapidly transforming and enhancing computer vision accuracy and performance, and pursuing higher-level and interpretable object recognition. Superpixel-based methodologies ...
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 ...
Machine-aided analysis of vote privacy using computationally complete symbolic attacker
(University of Missouri--Columbia, 2019)
Security protocols employ cryptographic primitives such as encryption and digital signatures to provide security guarantees of confidentiality and authenticity in the presence of malicious attackers. Due to the complexities ...
Information fusion for robust detection of scarce features/objects in high resolution electro-optical satellite imagery
(University of Missouri--Columbia, 2021)
We conducted research to develop and test methods to improve the detection of scarce objects in high-resolution electro-optical satellite imagery. We demonstrated improvements through various forms of information and data ...
Intelligent orchestration of computation and networking for drone swarm applications
(University of Missouri--Columbia, 2023)
[EMBARGOED UNTIL 5/1/2024] Drone swarms that are equipped with high-resolution sensors and video cameras can benefit many applications (e.g., disaster response management, smart farming, traffic control). This requires ...