Internet of Things (IoT) of Smart Homes: Privacy and Security
T Magara, Y Zhou - Journal of Electrical and Computer …, 2024 - Wiley Online Library
The Internet of Things (IoT) constitutes a sophisticated network that interconnects devices,
optimizing functionality across various domains of human activity. Recent literature …
optimizing functionality across various domains of human activity. Recent literature …
Knowledge enhanced semantic communication receiver
In recent years, with the rapid development of deep learning and natural language
processing technologies, semantic communication has become a topic of great interest in …
processing technologies, semantic communication has become a topic of great interest in …
Cloud vendor selection for the healthcare industry using a big data-driven decision model with probabilistic linguistic information
R Krishankumar, R Sivagami, A Saha, P Rani… - Applied …, 2022 - Springer
The role of cloud services in the data-intensive industry is indispensable. Cision recently
reported that the cloud market would grow to 55 billion USD, with an active contribution of …
reported that the cloud market would grow to 55 billion USD, with an active contribution of …
Multidimensional big data analytics over big web knowledge bases: models, issues, research trends, and a reference architecture
A Cuzzocrea - 2022 IEEE Eighth International Conference on …, 2022 - ieeexplore.ieee.org
This paper focuses the attention on the problem of supporting multidimensional big data
analytics tools over Big Web Knowledge Bases. These big data repositories are generated …
analytics tools over Big Web Knowledge Bases. These big data repositories are generated …
Towards an IoT-Enabled Digital Earth for SDGs: The Data Quality Challenge
Digital Earth (DE), a technology offering real-time visualisation of Earth's processes, has
shown promising results in aiding decision-making for a sustainable world, raising …
shown promising results in aiding decision-making for a sustainable world, raising …
WSD Based Ontology Learning from Unstructured Text Using Transformer
Abstract Representation of knowledge and making it machine comprehensible has become
a necessity in modern times but with the large amount of data being generated nowadays …
a necessity in modern times but with the large amount of data being generated nowadays …
Graph representation learning-based early Depression Detection Framework in Smart Home environments
J Kim, M Sohn - Sensors, 2022 - mdpi.com
Although the diagnosis and treatment of depression is a medical field, ICTs and AI
technologies are used widely to detect depression earlier in the elderly. These technologies …
technologies are used widely to detect depression earlier in the elderly. These technologies …
COSIBAS Platform—Cognitive Services for IoT-Based Scenarios: Application in P2P Networks for Energy Exchange
DG Martín, SL Florez, A González-Briones… - Sensors, 2023 - mdpi.com
The revolution generated by the Internet of Things (IoT) has radically changed the world;
countless objects with remote sensing, actuation, analysis and sharing capabilities are …
countless objects with remote sensing, actuation, analysis and sharing capabilities are …
Gmm-based document clustering of knowledge graph embeddings
RKR Menon, SD Kumar… - 2022 IEEE 3rd Global …, 2022 - ieeexplore.ieee.org
Digital technology and World Wide Web have re-sulted in a growth in the number of digital
documents. The ma-jority of the data is unstructured, and extracting information into a …
documents. The ma-jority of the data is unstructured, and extracting information into a …
Implementing SPARQL-based Prefiltering on Jena Fuseki TDB store to reduce the semantic web services search space
P Thapar, LS Sharma - … and Mobile Sustainable Networks: Proceedings of …, 2022 - Springer
The increased number of services and their increased ontological complexity make the
discovery a very time-consuming process as they were built on DL (Description Logic) …
discovery a very time-consuming process as they were built on DL (Description Logic) …