A Meta heuristic based deep learning classifier for effective dengue disease prediction in IoT‐Fog system
PB Corthis, GP Ramesh, AB Jayachandra - Expert Systems, 2024 - Wiley Online Library
The primary aim of this article is to propose an effective dengue disease monitoring system
by integrating deep learning models with Internet of Things (IoT) and fog computing. In this …
by integrating deep learning models with Internet of Things (IoT) and fog computing. In this …
[HTML][HTML] Remaining Useful Life Estimation of MoSi2 Heating Element in a Pusher Kiln Process
The critical challenge of estimating the Remaining Useful Life (RUL) of MoSi2 heating
elements utilized in pusher kiln processes is to enhance operational efficiency and minimize …
elements utilized in pusher kiln processes is to enhance operational efficiency and minimize …
Experimental evaluation of artificial intelligence assisted heart disease prediction using deep learning principle
The system for detecting cardiac illness utilizing Artificial Intelligence (AI) and deep learning
algorithms is the main topic of the study. Researchers demonstrate how artificial intelligence …
algorithms is the main topic of the study. Researchers demonstrate how artificial intelligence …
Leveraging machine learning and low-cost hardware for economical wind-driven water level prediction
RH Sahib, DHM Jawad, AZ Sameen… - … Oriented Computing and …, 2024 - Springer
Although the prospect of the Internet of Things (IoT) is almost unlimited, developing IoT
techniques can look discouraging, demanding a multidomain expertise and complex web …
techniques can look discouraging, demanding a multidomain expertise and complex web …
An IoT-Based Heart Disease Diagnosis System Using Gradient Boosting and Deep Convolution Neural Network
A Subashini, P Kanaka Raju - SN Computer Science, 2023 - Springer
The tremendous strides that have been made in biotechnology and the establishment of
public healthcare infrastructures have resulted in a monumental increase in the generation …
public healthcare infrastructures have resulted in a monumental increase in the generation …
AI in Healthcare: Transformative Predictive Analytics With ML and DL
U Kaur, H Kumar, R Kaur - Recent Trends and Future Direction for …, 2024 - igi-global.com
The emerging technologies are revolutionizing predictive analytics in HealthCare domain.
The research in this sector has made great strides in managing disease management, which …
The research in this sector has made great strides in managing disease management, which …
A Comprehensive Review of Deep Learning-based Models for Heart Disease Prediction
C Zhou, P Dai, A Hou, Z Zhang, L Liu, A Li - 2024 - researchsquare.com
Heart disease (HD) is one of the leading causes of death in humans, posing a heavy burden
on society, families, and patients. Real-time prediction of HD can reduce mortality rates and …
on society, families, and patients. Real-time prediction of HD can reduce mortality rates and …
A Real-Time Health Monitoring System for Remote Cardiac Patients
M Abo-Zahhad, AA Zakaria… - … Africa Conference on …, 2023 - ieeexplore.ieee.org
Heart health monitoring is essential for the early detection of heart diseases. Wireless
sensor networks and the Internet of Things have shown great potential in heart health …
sensor networks and the Internet of Things have shown great potential in heart health …
Enhancing Cardiac Disease Prediction Through Data Recovery and Deep Learning Analysis of Electronic Sensor Data
F Shaman, A Alshehri, MM Badr… - Journal of …, 2023 - ingentaconnect.com
Remote health monitoring plays a pivotal role in tracking the health of patients outside
traditional clinical settings. It facilitates early disease detection, preventive interventions, and …
traditional clinical settings. It facilitates early disease detection, preventive interventions, and …
Towards a Holistic Approach to Chronic Disease Management: Integrating Federated Learning and IoT for Personalized health Care.
Abstract Chronic diseases, specifically Cardiovascular Disease (CVD), pose a substantial
worldwide health obstacle, requiring innovative and comprehensive approaches to …
worldwide health obstacle, requiring innovative and comprehensive approaches to …