College of Engineering (MU): Recent submissions
Now showing items 1-20 of 2134
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Volumetric medical image segmentation with deep learning pipelines
(University of Missouri--Columbia, 2020)Automated semantic segmentation in the domain of medical imaging can enable a faster, more reliable, and more affordable clinical workflow. Fully convolutional networks (FCNs) have been heavily used in this area due to the ... -
Theoretical selection of working fluids and experimental investigation of 3-phase oscillating heat pipes
(University of Missouri--Columbia, 2020)The need for high power thermal energy dissipation brought about the adoption of heat pipes utilizing phase change heat transfer. Oscillating heat pipes (OHPs) have the capability to transport thermal energy efficiently ... -
"Bring-your-own" plug-in management for next-generation science gateway applications
(University of Missouri--Columbia, 2020)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI-COLUMBIA AT REQUEST OF AUTHOR.] Science gateways are web-portals that hide background complexities of underlying resources and expose easy-to-use capabilities of scientific ... -
Fabrication of porous, skin-interfaced bioelectronic sensors
(University of Missouri--Columbia, 2020)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI-COLUMBIA AT REQUEST OF AUTHOR.] Soft on-skin electronics have broad applications in human healthcare, human- machine interface, robotics, and others. However, most current ... -
Explainable artificial intelligence to stratify pan-cancer patients for immune checkpoint inhibitor decision making
(University of Missouri--Columbia, 2022)[EMBARGOED UNTIL 12/1/2023] Immune checkpoints are a normal part of the immune system. It engages when proteins on the surface of immune cells called T cells recognize and bind to partner proteins on other cells, such as ... -
Characterization and applications of wide bandgap semiconductor materials
(University of Missouri--Columbia, 2022)[EMBARGOED UNTIL 12/1/2023] Wide bandgap materials are potential candidates to revolutionize high-power electronics and optoelectronic devices due to their wide bandgap energy greater than 2 eV. Thus, there is a great ... -
Deep learning and DCT-based hand-crafted features for computer vision tasks
(University of Missouri--Columbia, 2022)[EMBARGOED UNTIL 12/1/2023] Feature extraction and matching are critical components for many computer vision tasks including camera pose estimation, 3D reconstruction, simultaneous localization and mapping (SLAM), and ... -
Reliable and structural deep neural networks
(University of Missouri--Columbia, 2022)Deep neural networks have dominated a wide range of computer vision research recently. However, recent studies have shown that deep neural networks are sensitive to adversarial perturbations. The limitations of deep networks ... -
New methods for protein structure prediction using machine learning and deep learning
(University of Missouri--Columbia, 2022)Computational protein structure prediction is one of the most challenging problems in bioinformatics area. Due to the widespread use of sampling-and-selection strategy, protein model quality assessment became important. ... -
Modelling and analysis of energy metabolism in postmortem muscle
(University of Missouri--Columbia, 2022)[EMBARGOED UNTIL 12/1/2023] Fresh-meat quality is largely determined by a number of biochemical reactions during the conversion of muscle to meat. To produce consistent high-quality meat, it is necessary to have an ... -
Accelerating data-driven discover in type 1 diabetes: an informatics-based approach
(University of Missouri--Columbia, 2022)[EMBARGOED UNTIL 12/1/2023] Type 1 diabetes (T1D) is a lifelong chronic disease characterized by the absolute or near-absolute loss of insulin. For affected individuals, management of T1D is an unremitting challenge that ... -
Nanofibrillation of lignocellulosic biomass into lignin-containing nanocellulose for 3D printing and antimicrobial applications
(University of Missouri--Columbia, 2022)[EMBARGOED UNTIL 12/1/2023] Lignin-containing nanocellulose (LNC) has become an emerging subcategory of nanocellulose. Compared toedtraditional pure nanocellulose, LNC contains lignin and hemicellulose that are not fully ... -
Interactive, multi-purpose traffic prediction platform using connected vehicles dataset
(University of Missouri--Columbia, 2022)Traffic congestion is a perennial issue because of the increasing traffic demand yet limited budget for maintaining current transportation infrastructure; let alone expanding them. Many congestion management techniques ... -
Design of low-power RF energy harvester for IoT sensors
(University of Missouri--Columbia, 2022)Rapid technological advancement in CMOS technologies has resulted in increased deployment of low-power Internet-of-Things (IoT) devices. As batteries, used to power-up these devices, suffer from limited lifespan, powering ... -
Trusted resource allocation in volunteer edge-cloud computing for scientific applications
(University of Missouri--Columbia, 2022)Data-intensive science applications in fields such as e.g., bioinformatics, health sciences, and material discovery are becoming increasingly dynamic and demanding with resource requirements. Researchers using these ... -
Kinematic assessment for stroke patients in a stroke game and a daily activity recognition and assessment system
(University of Missouri--Columbia, 2022)Stroke is the leading cause of serious, long-term disabilities among which deficits in motor abilities in arms or legs are most common. Those who suffer a stroke can recover through effective rehabilitation which is ... -
Transport of invasive carp eggs and the effect of river turbulence
(University of Missouri--Columbia, 2022)Bighead (Hypophthalmichthys nobilis), silver (Hypophthalmichthys molitrix) and grass (Ctenopharyngodon Idella) carps are important food sources in East Asian while considered an invasive species in North America due to ... -
Identification of immune-related gene signatures to evaluate immunotherapeutic response in cancer patients using exploratory subgroup discovery
(University of Missouri--Columbia, 2022)Phenotypic and genotypic heterogeneity are characteristic features of cancer patients. To tackle patients[trademark] heterogeneity, immune checkpoint inhibitors (ICIs) represent one of the most promising therapeutic ... -
AI-based framework for automatically extracting high-low features from NDS data to understand driver behavior
(University of Missouri--Columbia, 2022)Our ability to detect and characterize unsafe driving behaviors in naturalistic driving environments and associate them with road crashes will be a significant step toward developing effective crash countermeasures. Due ... -
Development of a novel titanium thermal ionization cavity source for electromagnetic radioisotope separation of samarium and other lanthanide isotopes
(University of Missouri--Columbia, 2022)An available supply of high specific activity radioisotopes was identified by the Department of Energy as a critical priority to the development and eventual deployment of next-generation medical diagnostic and cancer ...