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Online influence and sentiment of fitness tweets: Analysis of two million fitness tweets
(JMIR Publications, 2017)
Objective: The goal of this experimental approach using the fitness Twitter dataset is two-fold: (1) to determine if there is a correlation between the type of activity tweet (either workout or workout+, which contains the ...
A multistage selective weighting method for improved microwave breast tomography
(Elsevier, 2016-08-24)
Microwave tomography has shown potential to successfully reconstruct the dielectric properties of the human breast, thereby providing an alternative to other imaging modalities used in breast imaging applications. Considering ...
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 ...
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 ...
Diet behavior change techniques in type 2 diabetes: A systematic review and meta-analysis
(American Diabetes Association, 2017-12)
OBJECTIVE Dietary behavior is closely connected to type 2 diabetes. The purpose of this meta-analysis was to identify behavior change techniques (BCTs) and specific components of dietary interventions for patients with ...
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 ...
Performance of leading artifact removal algorithms assessed across microwave breast imaging prototype scan configurations
(Elsevier, 2017-03-02)
Microwave imaging is a promising imaging modality for the detection of early-stage breast cancer. One of the most important signal processing components of microwave radar-based breast imaging is early stage artifact ...
Architecture for gathering and integrating collaborative information for decision support in emergency situations
(Inderscience, 2018-01-16)
The involvement of citizens in supporting crisis situations is no longer a new phenomenon. In the past, the lack of data was one of the main barriers faced by public managers in the decision-making process. Today the ...
RDF dataset profiling – a survey of features, methods, vocabularies and applications
(IOS Press, 2018-07-12)
The Web of Data, and in particular Linked Data, has seen tremendous growth over the past years. However, reuse and take-up of these rich data sources is often limited and focused on a few well-known and established RDF ...
Adaptive artifact removal for selective multistatic microwave breast imaging signals
(Elsevier, 2017-02-01)
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 ...