Internet of everything (IoE) taxonomies: A survey and a novel knowledge-based taxonomy

VC Farias da Costa, L Oliveira, J de Souza - Sensors, 2021 - mdpi.com
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 …

Network resource management mechanisms in SDN enabled WSNs: A comprehensive review

V Tyagi, S Singh - Computer Science Review, 2023 - Elsevier
Wireless technologies usually have very limited computing, memory, and battery power that
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

B Bhabani, J Mahapatro - Vehicular Communications, 2023 - Elsevier
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 …

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 …

Uncertainty-aware visual analytics: scope, opportunities, and challenges

RGC Maack, G Scheuermann, H Hagen… - The Visual …, 2023 - Springer
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 …

Sense, transform & send for the internet of things (STS4IoT): UML profile for data-centric IoT applications

JE Plazas, S Bimonte, M Schneider, C De Vaulx… - Data & Knowledge …, 2022 - Elsevier
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 …

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 …

Getting more out of clinical documentation: Can clinical dashboards yield clinically useful information?

CK Higa-McMillan, AL Park, EL Daleiden… - … and Policy in Mental …, 2024 - Springer
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 …

A workflow to systematically design uncertainty-aware visual analytics applications

RGC Maack, F Raith, JF Pérez, G Scheuermann… - The Visual …, 2024 - Springer
Visual analytics (VA) is a paradigm for insight generation by using visual analysis
techniques and automated reasoning by transforming data into hypotheses and …

AI-Driven Data Aggregation Level Smart Contracts for Blockchain Healthcare Insurance Claims Adjudication

W El-Samad, M Adda, M Atieh - Procedia Computer Science, 2024 - Elsevier
The current model of healthcare insurance claim adjudication faces significant challenges,
in particular fraudulent claims which significantly strain the economy. This paper introduces …