[HTML][HTML] A comprehensive survey on an IoT-based smart public street lighting system application for smart cities
S Khemakhem, L Krichen - Franklin Open, 2024 - Elsevier
The swift advancement and updating of urban lighting systems, along with the incorporation
of smart and Internet of Things (IoT) infrastructure, have opened up numerous opportunities …
of smart and Internet of Things (IoT) infrastructure, have opened up numerous opportunities …
[HTML][HTML] The CrowdHEALTH project and the hollistic health records: Collective wisdom driving public health policies
Aim: The aim of the CrowdHEALTH approach, is to introduce a new paradigm of Holistic
Health Records (HHRs) that include all health determinants defining health status by using …
Health Records (HHRs) that include all health determinants defining health status by using …
IoT in healthcare: Achieving interoperability of high-quality data acquired by IoT medical devices
It is an undeniable fact that Internet of Things (IoT) technologies have become a milestone
advancement in the digital healthcare domain, since the number of IoT medical devices is …
advancement in the digital healthcare domain, since the number of IoT medical devices is …
CDP-UA: Cognitive data processing method wearable sensor data uncertainty analysis in the internet of things assisted smart medical healthcare systems
G Manogaran, M Alazab, H Song… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Internet of Medical Things (IoMT) platform serves as an interoperable medium for healthcare
applications by connecting wearable sensors, end-users, and clinical diagnosis centers …
applications by connecting wearable sensors, end-users, and clinical diagnosis centers …
[PDF][PDF] Batch and streaming data ingestion towards creating holistic health records
The healthcare sector has been moving toward Electronic Health Record (EHR) systems
that produce enormous amounts of healthcare data due to the increased emphasis on …
that produce enormous amounts of healthcare data due to the increased emphasis on …
An autoscaling platform supporting graph data modelling big data analytics
Big Data has proved to be vast and complex, without being efficiently manageable through
traditional architectures, whereas data analysis is considered crucial for both technical and …
traditional architectures, whereas data analysis is considered crucial for both technical and …
Interpretable stroke risk prediction using machine learning algorithms
Stroke is the second most common cause of death globally according to the World Health
Organization (WHO). Information Technology (IT), and especially Machine Learning (ML) …
Organization (WHO). Information Technology (IT), and especially Machine Learning (ML) …
A catalogue of machine learning algorithms for healthcare risk predictions
Extracting useful knowledge from proper data analysis is a very challenging task for efficient
and timely decision-making. To achieve this, there exist a plethora of machine learning (ML) …
and timely decision-making. To achieve this, there exist a plethora of machine learning (ML) …
Automated rule-based data cleaning using NLP
Data Cleaning is a subfield of Data Mining that is thriving in the recent years. Ensuring the
reliability of data, either when generated or received, is of vital importance to provide the …
reliability of data, either when generated or received, is of vital importance to provide the …
A computer vision-based IoT data ingestion architecture supporting data prioritization
Abstract Purpose As Internet of Things (IoT) evolves, additional focus should be provided in
aggregating and ingesting the most valuable data. Several techniques aim to identify the …
aggregating and ingesting the most valuable data. Several techniques aim to identify the …