UNT College of Engineering - 365 Matching Results
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- Answering complex, list and context questions with LCC's Question-Answering Server
- This paper presents the architecture of the Question-Answering server (QAS) developed at the Language Computer Corporation (LCC) and used in the TREC-10 evaluations.
- Apparatus and Method for Transmitting Secure and/or Copyrighted Digital Video Broadcasting Data over Internet Protocol Network
- Patent relating to an apparatus and method for transmitting secure and/or copyrighted digital video broadcasting data over internet protocol network.
- The Application of BP Neural Networks to Analysis the National Vulnerability
- Article uses the analytic hierarchy process (AHP) and natural breakpoint method (NBM) to implement an AHP-NBM comprehensive evaluation model to assess the national vulnerability to climate change.
- Approximating User Distributions in WCDMA Networks Using 2-D Gaussian
- This paper discusses approximating user distributions in WCDMA networks using 2-D Gaussian.
- Architecture Support for 3D Obfuscation
- Article discussing research on architecture support for 3D obfuscation.
- Artificial Intelligence for Colonoscopy: Past, Present, and Future
- Article summarizing the past and present development of colonoscopy video analysis methods, focusing on two categories of artificial intelligence (AI) technologies used in clinical trials, (1) analysis and feedback for improving colonoscopy quality and (2) detection of abnormalities.
- Attention-Based Dense Point Cloud Reconstruction From a Single Image
- Article proposes a two-stage training dense point cloud generation network.
- Attracting and Retaining Women in Computer Science and Engineering: Evaluating the Results
- This paper discusses efforts to attract and retain students in computer science and engineering fields.
- Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation
- Authors of the article created an overall assessment metric using a deep learning autoencoder to directly compare clinical outcomes in a comparison of lower limb amputees using two different prosthetic devices—a mechanical knee and a microprocessor-controlled knee. The proposed methods were used on data collected from ten participants with a dysvascular transfemoral amputation recruited for a prosthetics research study.
- Automated extraction of attributes from natural language attribute-based access control (ABAC) Policies
- Article (1) developing a practical framework to extract authorization attributes of hierarchical ABAC system from natural language artifacts, and (2) generating a set of realistic synthetic natural language access control policies (NLACPs) to evaluate the proposed framework.
- Automated measurement of quality of mucosa inspection for colonscopy
- This paper from the International Conference on Computational Science conference proceedings presents new methods that derive a new quality metric for automated scoring of quality of mucosa inspection performed by the endoscopist.
- Automatic Extraction of Implicit Interpretations from Modal Constructions
- This paper presents an approach to extract implicit interpretations from modal constructions.
- Automatic Generation and Classification of Minimal Meaningful Propositions in Educational Systems
- This paper introduces a new representation of sentences--Minimal Meaningful Propositions (MMPS), which allows significant improvement of the mapping between a learner's answer and the ideal response.
- Automatic Generation and Scoring of Positive Interpretations from Negated Statements
- This paper presents a methodology to extract positive interpretations from negated statements.
- Automatic generation of a coarse grained WordNet
- This paper discusses automatic generation of a coarse grained WordNet.
- Automatic Identification of Research Articles from Crawled Documents
- Paper from the Web-Scale Classification: Classifying Big Data from the Web Workshop. This paper proposes novel features that result in effective and efficient classification models for automatic identification of research articles.
- Automatic Keyword Extraction for Learning Object Repositories
- This article discusses automatic keyword extraction for learning object repositories.
- An Automatic Method for Generating Sense Tagged Corpora
- This paper discusses an automatic method for generating sense tagged corpora.
- BABYLON Parallel Text Builder: Gathering Parallel Texts for Low-Density Languages
- This paper discusses BABYLON parallel text builder.
- BAM: A Block-Based Bayesian Method for Detecting Genome-Wide Associations with Multiple Diseases
- Article proposes a novel Bayesian method, named BAM, for simultaneously partitioning Single Nucleotide Polymorphisms (SNPs) into Linkage Disequilibrium(LD)-blocks and detecting genome-wide multi-locus epistatic interactions that are associated with multiple diseases. Experimental results on the simulated datasets demonstrate that BAM is powerful and efficient.
- Bayesian analysis of complex mutations in HBV, HCV, and HIV studies
- This article provides a review of the Bayesian-inference-based methods applied to Hepatitis B Virus (HBV), Hepatitis C Virus (HCV), and Human Immunodeficiency Virus (HIV) studies with a focus on the detection of the viral mutations and various problems which are correlated to these mutations. The authors also provide a summary of the Bayesian methods' applications toward these viruses' studies, where several important and useful results have been discovered.
- Beyond Plain Spatial Knowledge: Determining Where Entities Are and Are Not Located, and For How Long
- This paper complements semantic role representations with spatial knowledge beyond indicating plain locations.
- Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model
- Article is a study proposing an approach for blood cancer disease prediction using the supervised machine learning approach to perform blood cancer prediction with high accuracy using microarray gene data.
- A Bootstrapping Method for Building Subjectivity Lexicons for Languages with Scarce Resources
- This article discusses a bootstrapping method for building subjectivity lexicons for languages with scarce resources.
- Building a Sense Tagged Corpus with Open Mind Word Expert
- This paper discusses building a sense tagged corpus with Open Mind Word Expert, an implemented active learning system for collecting word sense tagging from the general public over the Web.
- Building Multilingual Semantic Networks with Non-Expert Contributions over the Web
- This paper discusses building multilingual semantic networks.
- Call Admission Control Scheme for Arbitrary Traffic Distribution in CDMA Cellular Systems
- This presentation discusses call admission control (CAC). The authors define a set of feasible call configurations that results in a CAC algorithm that captures the effect of having an arbitrary traffic distribution and whose complexity scales linearly with the number of cells.
- Capacity Allocations in Multi-cell UMTS Networks for Different Spreading Factors with Perfect and Imperfect Power Control
- This paper discusses capacity allocation in multi-cell UMTS networks.
- Capacity Allocations in Multi-cell UMTS Networks for Different Spreading Factors with Perfect and Imperfect Power Control [Presentation]
- This presentation discusses user and interference models, wideband code division multiple access (WCDMA) capacity with perfect and imperfect power control, and spreading factors with numerical results.
- CAREER: Developing a Flexible Serverless Multimedia Streaming Cloud Platform
- Data management plan for the grant, "CAREER: Developing a Flexible Serverless Multimedia Streaming Cloud Platform."
- CAREER: Reinventing Network-on-Chips of GPU-Accelerated Systems
- Data management plan for the grant, "CAREER: Reinventing Network-on-Chips of GPU-Accelerated Systems." Research seeking to reinvent on-chip networks for GPU-accelerated systems to remove a communication bottleneck. A major outcome of the project is a set of techniques that enable the development of effective and efficient network-on-chip architectures. Graphics processing units (GPUs) have rapidly evolved to become high-performance accelerators for data-parallel computing. To fully take advantage of the computing power of GPUs, on-chip networks need to provide timely data movement to satisfy the requests of data by the processing cores. Currently, there exists a big gap between the fast-growing processing power of the GPU processing cores and the slow-increasing on-chip network bandwidth. Because of this, GPU-accelerated systems are interconnect-dominated and the on-chip network becomes their performance bottleneck.
- CCAP: A Strategic Tool for Managing Capacity of CDMA Networks
- This presentation discusses CCAP, a strategic tool for managing capacity of CDMA networks. CCAP is a graphical interactive tool for CDMA that calculates the coverage area, call capacity of a CDMA network, and subscriber network performance to optimize capacity.
- CDMA Network Design
- This presentation gives an overview of code-division multiple access (CDMA) and inter-cell effects, network capacities, sensitivity analysis of base station locations, pilot-signal power, and transmission power of the mobiles, and concludes with numerical results.
- Cell Design to Maximize Capacity in CDMA Networks
- This presentation discusses the code division multiple access (CDMA) inter-cell effects, capacity regions, maximizing network capacity, mobility, a call admission control algorithm, and network performance.
- Cell Placement in a CDMA Network
- This presentation discusses research on cell placement in a CDMA network. In order to enable iterative cell placement the authors use a computationally efficient iterative process to calculate the inter-cell and intra-cell interferences as a function of pilot-signal power and base station location.
- Channel Assignment and Load Distribution in a Power-Managed WLAN
- This paper discusses a proposed algorithm.
- Channel Assignment in an IEEE 802.11 WLAN Based on Signal-to-Interference Ratio
- This article discusses channel assignment in an IEEE 802.11 WLAN based on signal-to-interference ratio.
- Characterizing Humour: An Exploration of Features in Humorous Texts
- This paper investigates the problem of automatic humor recognition, and provides an in-depth analysis of two of the most frequently observed features of humorous text: human-centeredness and negative polarity. Through experiments performed on two collections of humorous texts, the authors show that these properties of verbal humor are consisted across different data sets.
- CICI: UCSS: Secure Containers in High-Performance Computing Infrastructure
- Data management plan for the grant, "CICI: UCSS: Secure Containers in High-Performance Computing Infrastructure." Ensuring the security and privacy of high-performance computing (HPC) infrastructures is of utmost importance due to their handling of sensitive data and critical scientific computations. HPC infrastructures commonly employ containers, which provide lightweight and isolated environments for running applications. Nevertheless, containers in HPC infrastructures encounter security challenges, including insecure container images and vulnerabilities related to isolation. Existing container image scanners face a major challenge of low coverage, while current container runtimes struggle to ensure both security and performance for HPC workloads simultaneously. This project addresses these challenges by developing secure containers specifically tailored for HPC infrastructures. The project introduces innovative solutions, including the development of an efficient image vulnerability scanner and a secure container runtime.
- Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach
- This paper proposes a supervised model for keyphrase extraction from research papers, which are embedded in citation networks.
- Classification Errors in a Domain-Independent Assessment System
- This paper presents a domain-independent technique for assessing learners' constructed responses.
- Classification of Attributes and Behavior in Risk Management Using Bayesian Networks
- This paper discusses issues in security.
- Classifier Stacking and Voting for Text Filtering
- This article discusses classifier stacking and voting for text filtering.
- Classifying Abdominal Fat Distribution Patterns by Using Body Measurement Data
- This article aims to explore new categorization that characterizes the distribution clusters of visceral and subcutaneous adipose tissues (VAT and SAT) measured by magnetic resonance imaging (MRI), to analyze the relationship between the VAT-SAT distribution patterns and the novel body shape descriptors (BSDs), and to develop a classifier to predict the fat distribution clusters using the BSDs.
- Classifying Drug Resistance in the NCI60 Cancer Cell Lines Based on the mRNA Expression Levels of the 48 ABC Transporters
- Poster for the 2014 MCBIOS Conference. This poster discusses classifying drug resistance in the NCI60 cancer cell lines based on the mRNA expression levels of the 48 ABC transporters.
- Classifying genes to the correct Gene Ontology Slim term in Saccharomyces cerevisiae using neighbouring genes with classification learning
- Article discussing research on classifying genes to the correct gene ontology slim term in Saccharomyces cerevisiae using neighbouring genes with classification learning.
- Classifying Scientific Publications Using Abstract Features
- Article discussing classifying scientific publications using abstract features.
- Co-training and Self-training for Word Sense Disambiguation
- This paper investigates the application of co-training and self-training to word sense disambiguation. Optimal and empirical parameter selection methods for co-training and self-training are investigated, with various degrees of error reduction. A new method that combines co-training with majority voting is introduced, with the effect of smoothing the bootstrapping learning curves, and improving the average performance.
- Co-Training for Topic Classification of Scholarly Data
- This paper describes a co-training approach that uses the text and citation information of a research article as two different views to predict the topic of an article.
- Co-training over Domain-independent and Domain-dependent Features for Sentiment Analysis of an Online Cancer Support Community
- Paper on co-training over domain-independent and domain-dependent features for sentiment analysis of an online cancer support community.