Deep Learning Algorithms and Multicriteria Decision‐Making Used in Big Data: A Systematic Literature Review
The data are ever increasing with the increase in population, communication of different
devices in networks, Internet of Things, sensors, actuators, and so on. This increase goes …
devices in networks, Internet of Things, sensors, actuators, and so on. This increase goes …
Big data features, applications, and analytics in cardiology—a systematic literature review
In today's digital world the information surges with the widespread use of the internet and
global communication systems. Healthcare systems are also facing digital transformations …
global communication systems. Healthcare systems are also facing digital transformations …
Big data, extracting insights, comprehension, and analytics in cardiology: an overview
H Xiao, S Ali, Z Zhang, MS Sarfraz… - Journal of …, 2021 - Wiley Online Library
Healthcare system facilitates the treatment of patients with the support of wearable, smart,
and handheld devices, as well as many other devices. These devices are producing a huge …
and handheld devices, as well as many other devices. These devices are producing a huge …
Modeling and monitoring of a multivariate spatio-temporal network system
With the development of information technology, various network systems are created to
connect physical objects and people by sensor nodes or smart devices, providing …
connect physical objects and people by sensor nodes or smart devices, providing …
A novel extended Internet of things (IoT) Cybersecurity protection based on adaptive deep learning prediction for industrial manufacturing applications
KA Alattas, A Mardani - Environment, Development and Sustainability, 2022 - Springer
The use of the Internet of things (IoT) devices is growing rapidly in the current industrial
market. Integrating these devices into the network system has subjected the information to …
market. Integrating these devices into the network system has subjected the information to …
Machine learning techniques to reduce error in the internet of things
A Bhatnagar, S Shukla… - 2019 9th International …, 2019 - ieeexplore.ieee.org
Over the years, Machine Learning (ML) techniques have been implemented to improve data
processing speed and result in Internet of Things (IoT) devices. Some of the most common …
processing speed and result in Internet of Things (IoT) devices. Some of the most common …
Real-time cyber-physical security solution leveraging an integrated learning-based approach
Cyber-Physical Systems (CPS) has emerged as a paradigm that connects cyber and
physical worlds, which provides unprecedented opportunities to realize intelligent …
physical worlds, which provides unprecedented opportunities to realize intelligent …
NB-IoT application on decision support system of building information management
HP Lin, CY Jung, TY Huang, H Hendrick… - Wireless Personal …, 2020 - Springer
Abstract Internet of Things (IoT) is a popular system architecture for monitoring application
such as building, industrial or environment. IoT system produces amount of data that is …
such as building, industrial or environment. IoT system produces amount of data that is …
[HTML][HTML] Evaluating AI Methods for Pulse Oximetry: Performance, Clinical Accuracy, and Comprehensive Bias Analysis
AM Cabanas, N Sáez, PO Collao-Caiconte… - Bioengineering, 2024 - mdpi.com
Blood oxygen saturation (SpO2) is vital for patient monitoring, particularly in clinical settings.
Traditional SpO2 estimation methods have limitations, which can be addressed by analyzing …
Traditional SpO2 estimation methods have limitations, which can be addressed by analyzing …
Deep Learning Classification of Photoplethysmogram Signal for Hypertension Levels
Continuous photoplethysmography (PPG)-based blood pressure monitoring is necessary for
healthcare and fitness applications. In Artificial Intelligence (AI), signal classification levels …
healthcare and fitness applications. In Artificial Intelligence (AI), signal classification levels …