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[HTML][HTML] BIM and IoT data fusion: The data process model perspective
Digitalization in the architecture, engineering, and construction (AEC) industry has
highlighted the process of gathering and combining data from numerous sources. This …
highlighted the process of gathering and combining data from numerous sources. This …
Data quality in internet of things: A state-of-the-art survey
A Karkouch, H Mousannif, H Al Moatassime… - Journal of Network and …, 2016 - Elsevier
Abstract In the Internet of Things (IoT), data gathered from a global-scale deployment of
smart-things, are the base for making intelligent decisions and providing services. If data are …
smart-things, are the base for making intelligent decisions and providing services. If data are …
A new architecture of Internet of Things and big data ecosystem for secured smart healthcare monitoring and alerting system
Wearable medical devices with sensor continuously generate enormous data which is often
called as big data mixed with structured and unstructured data. Due to the complexity of the …
called as big data mixed with structured and unstructured data. Due to the complexity of the …
Big Data Analytics and IoT in logistics: a case study
Purpose Advances in technology enable companies to collect and analyse data, which were
previously not accessible, to either enhance existing business processes or create new …
previously not accessible, to either enhance existing business processes or create new …
TinyML algorithms for Big Data Management in large-scale IoT systems
In the context of the Internet of Things (IoT), Tiny Machine Learning (TinyML) and Big Data,
enhanced by Edge Artificial Intelligence, are essential for effectively managing the extensive …
enhanced by Edge Artificial Intelligence, are essential for effectively managing the extensive …
Systematic survey of big data and data mining in internet of things
In recent years, the Internet of Things (IoT) has emerged as a new opportunity. Thus, all
devices such as smartphones, transportation facilities, public services, and home appliances …
devices such as smartphones, transportation facilities, public services, and home appliances …
[HTML][HTML] Data quality management in the internet of things
L Zhang, D Jeong, S Lee - Sensors, 2021 - mdpi.com
Nowadays, IoT is being used in more and more application areas and the importance of IoT
data quality is widely recognized by practitioners and researchers. The requirements for …
data quality is widely recognized by practitioners and researchers. The requirements for …
Leveraging big data analytics in 5G‐enabled IoT and industrial IoT for the development of sustainable smart cities
There has been an exponential growth in the number of low‐cost heterogeneous sensor
devices that are connected to the internet in the existing infrastructure of smart cities in the …
devices that are connected to the internet in the existing infrastructure of smart cities in the …
Digital twin for real-time data processing in logistics
Purpose: Key performance indicators (KPIs) are an essential management tool. Realtime
KPIs for production and logistics form the basis for flexible and adaptive production systems …
KPIs for production and logistics form the basis for flexible and adaptive production systems …
Multilayered-quality education ecosystem (MQEE): an intelligent education modal for sustainable quality education
Sustainable quality education is a big challenge even for the developed countries. In
response to this, education 4.0 is gradually expanding as a new era of education. This work …
response to this, education 4.0 is gradually expanding as a new era of education. This work …