Now showing items 31-40 of 104
Deep learning for consumer devices and services: Pushing the limits for machine learning, artificial intelligence, and computer vision
(Institute of Electrical and Electronics Engineers (IEEE), 2017-04)
In the last few years, we have witnessed an exponential growth in research activity into the advanced training of convolutional neural networks (CNNs), a field that has become known as deep learning. This has been triggered ...
Supervised learning classifiers for electrical impedance-based bladder state detection
(Nature Publishing Group, 2018-03-29)
Urinary Incontinence affects over 200 million people worldwide, severely impacting the quality of life of individuals. Bladder state detection technology has the potential to improve the lives of people with urinary ...
An optimal day-ahead load scheduling approach based on the flexibility of aggregate demands
The increasing trends of energy demand and renewable integration call for new and advanced approaches to energy management and energy balancing in power networks. Utilities and network system operators require more assistance ...
A realistic pelvic phantom for electrical impedance measurement
(IOP Publishing, 2018-03-15)
Objective: To design and fabricate an anatomically and conductively accurate phantom for electrical impedance studies of non-invasive bladder volume monitoring. Approach: A modular pelvic phantom was designed and fabricated, ...
An abstract framework for modeling argumentation in virtual communities
(IGI Global, 2009)
Classic argumentative discussions can be found in a variety of domains from traditional scientific publishing to today’s modern social software. An interactive argumentative discussion usually consists of an initial ...
Adaptive artifact removal for selective multistatic microwave breast imaging signals
Microwave imaging is one of the most promising alternative breast imaging modalities. Early-stage artifact removal is an important signal processing component of a microwave breast imaging system. In this paper, a monostatic ...
Handheld solutions for the retail sector
(The Institution of Engineers of Ireland, 2003-11-09)
[No abstract available]
Do as I tweet, not as I do: comparing physical activity data between fitness tweets and Healthy People 2020
(JMIR Publications, 2015-11-30)
Background: The goal of this research was to compare the self-reported estimates of daily physical-activity data provided to the Healthy People 2020 research team via a telephone survey to the mobile fitness app real-time ...
Integrating tagging into the web of data: Overview and combination of existing tag ontologies
(Taiwan Academic Network, 2011-07)
As the number of social websites offering tagging facilities increases, tagging has become not only a common basis for user participation, but also an important aspect of social content. Tagging is primarily based on the ...
A URI is worth a thousand tags: From tagging to linked data with MOAT
(IGI Global, 2009)
Although tagging is a widely accepted practice on the Social Web, it raises various issues like tags ambiguity and heterogeneity, as well as the lack of organization between tags. We believe that Semantic Web technologies ...