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Applications of wireless sensors in monitoring Indoor Air Quality in the classroom environment

Description: This report discusses research on applications of wireless sensors in monitoring Indoor Air Quality (IAQ) in the classroom environment. The research focuses on IAQ monitoring technologies, government regulations and policies, and best practices to improve IAQ. This research is part of Research Experiences for Teachers (RET) in Sensor Education, a National Science Foundation (NSF) funded grant project.
Date: 2012
Creator: Chamberlain, Blaine; Jordan, Georgette; Li, Xinrong; Thompson, Ruthanne; Borkar, Chirag & Mansour, Sahar
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Partner: UNT College of Engineering

Applications of wireless sensors in monitoring Indoor Air Quality in the classroom environment [Poster]

Description: This poster discusses applications of wireless sensors in monitoring indoor air quality in the classroom environment. The focus of this research project was to investigate Indoor Air Quality monitoring technologies, government regulations and policies, and best practices to improve IAQ.
Date: 2012
Creator: Chamberlain, Blaine; Jordan, Georgette; Li, Xinrong; Thompson, Ruthanne; Borkar, Chirag & Mansour, Sahar
Item Type: Refine your search to only Poster
Partner: UNT College of Engineering
open access

An approach for reliably identifying high-frequency oscillations and reducing false-positive detections

Description: Article states that high-frequency oscillation (HFO), classified as ripples (80-240 Hz) and fast ripples (240-500 Hz), is regarded as a promising biomarker of epilepsy. The authors presented an integrated, multi-layered procedure capable of automatically rejecting HFOs from a variety of common false positives, such as motion, background signals, and sharp transients.
Date: September 2, 2022
Creator: Zhou, Yufeng; You, Jing; Kumar, Udaya; Weiss, Shennan A.; Bragin, Anatol; Engel Jr., Jerome et al.
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Partner: UNT College of Engineering
open access

Artificial Intelligence for Colonoscopy: Past, Present, and Future

Description: 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.
Date: August 2021
Creator: Tavanapong, Wallapak; Oh, JungHwan; Riegler, Michael; Khaleel, Mohammed I.; Mitta, Bhuvan & de Groen, Piet C.
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Partner: UNT College of Engineering
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Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation

Description: 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.
Date: October 18, 2022
Creator: Tabashum, Thasina; Xiao, Ting; Jayaraman, Chandrasekaran; Mummidisetty, Chaithanya K.; Jayaraman, Arun & Albert, Mark
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Partner: UNT College of Engineering
open access

Automated extraction of attributes from natural language attribute-based access control (ABAC) Policies

Description: 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.
Date: January 21, 2019
Creator: Alohaly, Manar; Takabi, Hassan & Blanco, Eduardo
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Partner: UNT College of Engineering
open access

Automated measurement of quality of mucosa inspection for colonscopy

Description: 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.
Date: May 31, 2010
Creator: Liu, Xuemin; Tavanapong, Wallapak; Wong, Johnny; Oh, JungHwan & de Groen, Piet C.
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Partner: UNT College of Engineering
open access

Automatic Identification of Research Articles from Crawled Documents

Description: 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.
Date: February 28, 2014
Creator: Caragea, Cornelia; Wu, Jian; Williams, Kyle; Das Gollapalli, Sujatha; Khabsa, Madian; Teregowda, Pradeep et al.
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
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