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Internet of everything (IoE) taxonomies: A survey and a novel knowledge-based taxonomy
The paradigm of the Internet of everything (IoE) is advancing toward enriching people's lives
by adding value to the Internet of things (IoT), with connections among people, processes …
by adding value to the Internet of things (IoT), with connections among people, processes …
Network resource management mechanisms in SDN enabled WSNs: A comprehensive review
Wireless technologies usually have very limited computing, memory, and battery power that
require the optimal management of network resources to increase network performance …
require the optimal management of network resources to increase network performance …
CluRMA: A cluster-based RSU-enabled message aggregation scheme for vehicular ad hoc networks
The fundamental goal of Vehicular Ad hoc NETworks (VANETs) is to facilitate safe driving by
sending safety/warning messages to vehicles as well as to exchange non …
sending safety/warning messages to vehicles as well as to exchange non …
How to deal with uncertainty in machine learning for medical imaging?
C Gillmann, D Saur… - 2021 IEEE Workshop on …, 2021 - ieeexplore.ieee.org
Recently, machine learning is massively on the rise in medical applications providing the
ability to predict diseases, plan treatment and monitor progress. Still, the use in a clinical …
ability to predict diseases, plan treatment and monitor progress. Still, the use in a clinical …
Uncertainty-aware visual analytics: scope, opportunities, and challenges
In many applications, visual analytics (VA) has developed into a standard tool to ease data
access and knowledge generation. VA describes a holistic cycle transforming data into …
access and knowledge generation. VA describes a holistic cycle transforming data into …
Sense, transform & send for the internet of things (STS4IoT): UML profile for data-centric IoT applications
Abstract The Internet of Things is currently one of the most representative sources of Big
Data. It can acquire real-time data from multiple spatially distributed points, allowing for the …
Data. It can acquire real-time data from multiple spatially distributed points, allowing for the …
Live intersection data acquisition for traffic simulators (LIDATS)
A Renninger, S Ameen Noman, T Atkison, J Sussman - Sensors, 2024 - mdpi.com
Real-time traffic signal acquisition and network transmission are essential components of
intelligent transportation systems, facilitating real-time traffic monitoring, management, and …
intelligent transportation systems, facilitating real-time traffic monitoring, management, and …
Getting more out of clinical documentation: Can clinical dashboards yield clinically useful information?
This study investigated coded data retrieved from clinical dashboards, which are decision-
support tools that include a graphical display of clinical progress and clinical activities. Data …
support tools that include a graphical display of clinical progress and clinical activities. Data …
A workflow to systematically design uncertainty-aware visual analytics applications
Visual analytics (VA) is a paradigm for insight generation by using visual analysis
techniques and automated reasoning by transforming data into hypotheses and …
techniques and automated reasoning by transforming data into hypotheses and …
AI-Driven Data Aggregation Level Smart Contracts for Blockchain Healthcare Insurance Claims Adjudication
The current model of healthcare insurance claim adjudication faces significant challenges,
in particular fraudulent claims which significantly strain the economy. This paper introduces …
in particular fraudulent claims which significantly strain the economy. This paper introduces …