Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated
disinfection and monitoring has garnered significant attention in recent research. The …
disinfection and monitoring has garnered significant attention in recent research. The …
Artificial Intelligence to Reshape the Healthcare Ecosystem.
G Reali, M Femminella - Future Internet, 2024 - search.ebscohost.com
This paper intends to provide the reader with an overview of the main processes that are
introducing artificial intelligence (AI) into healthcare services. The first part is organized …
introducing artificial intelligence (AI) into healthcare services. The first part is organized …
A Machine Learning Framework for Accurate Prediction of Parkinson's Disease from Speech Data
Speech data can help Machine Learning (ML) systems diagnose Parkinson's disease (PD).
This study predicted PD progression using the Parkinson's Progression Markers Initiative …
This study predicted PD progression using the Parkinson's Progression Markers Initiative …
Exploring real-time patient monitoring and data analytics with IoT-based smart healthcare monitoring
NM Patil, PM Krishna, G Deena, C Harini… - The Scientific …, 2023 - scientifictemper.com
This research study endeavours to explore the dynamic temporal variations in patient health
parameters, specifically heart rate, temperature, and Systolic Blood Pressure (SBP), within …
parameters, specifically heart rate, temperature, and Systolic Blood Pressure (SBP), within …
The Impact of Air Pollution on Respiratory Health Results: An Analysis of Asthma and COPD in a Population Study
Numerous studies have connected air pollution to various health problems, including
asthma, COPD, and reduced lung function. Particulate Matter (PM), Nitrogen Dioxide (NO2) …
asthma, COPD, and reduced lung function. Particulate Matter (PM), Nitrogen Dioxide (NO2) …
Smart Healthcare IoT: Deep Learning-Driven Patient Monitoring and Diagnosis
NJ Viswadutt, DK Vemula, M Shardunya… - … on Smart Structures …, 2023 - ieeexplore.ieee.org
In this paper, we introduce an Internet of Things (IoT)-based framework customized for use
in home clinical settings. This system is designed to remotely monitor patients and detect …
in home clinical settings. This system is designed to remotely monitor patients and detect …
Advancing Precision Agriculture: Leveraging YOLOv8 for Robust Deep Learning Enabled Crop Diseases Detection
N Vyas, V Dutt - 2023 International Conference on Integration …, 2023 - ieeexplore.ieee.org
Precision agriculture relies on the early detection and isolation of crop diseases, and this
research details how the You Only Look Once, Version 8 (YOLOv8) algorithm was used for …
research details how the You Only Look Once, Version 8 (YOLOv8) algorithm was used for …
Examining the Impact of Machine Learning on Streamlining Data Analysis in Real-Time
Vector Quantization (VQ) is an influential facts compression and source coding approach
used to lessen the size of records, improve switch speed, and reduces garage necessities. It …
used to lessen the size of records, improve switch speed, and reduces garage necessities. It …
Elevating IoT Sensor Data Management and Security Through Blockchain Solutions
The internet of things, security, and blockchain all come together to deal with the influx of
sensor data. The autonomous vehicle industry, for example, relies heavily on effective data …
sensor data. The autonomous vehicle industry, for example, relies heavily on effective data …