UNT College of Engineering - 6 Matching Results
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- Agent-based Distance Vector Routing: A Resource Efficient and Scalable approach to Routing in Large Communication Networks
- Article discussing a resource efficient and scalable approach to routing in large communication networks.
- Detection of Parkinson's Disease Through Automated Pupil Tracking of the Post-illumination Pupillary Response
- This article describes a system for pupil size estimation with a user interface to allow rapid adjustment of parameters and extraction of pupil parameters of interest in order to identify Parkinson's disease (PD) as early as possible.
- Exploring Edge Computing in Multi-Person Mixed Reality for Cooperative Perception
- Article and accompanying poster presenting a prototype for the use of Edge with MR devices to provide cooperative perception capability to the MR device.
- Towards Comprehensive Syntactic and Semantic Annotations of the Clinical Narrative
- This article discusses the creation of annotated clinical narratives with layers of syntactic and semantic labels to facilitate advances in clinical natural language processing (NLP).
- Using a microprocessor knee (C-Leg) with appropriate foot transitioned individuals with dysvascular transfemoral amputations to higher performance levels: a longitudinal randomized clinical trial
- Article evaluating whether advanced prostheses can provide better safety and performance capabilities to maintain and improve quality of life in individuals who are predominantly designated MFCL level K2. This study used a 13 month longitudinal clinical trial to determine the benefits of using a C-Leg and 1M10 foot in individuals at K2 level with transfemoral amputation due to vascular disease.
- Weak-Light Image Enhancement Method Based on Adaptive Local Gamma Transform and Color Compensation
- This article proposes a correction method for image enhancement models based on an adaptive local gamma transformation and color compensation inspired by the illumination reflection model. It is demonstrated that the proposed method adaptively reduces the influence of uneven illumination to avoid overenhancement and improves the visual effect of low-light images.