An IoT-fog-cloud integrated framework for real-time remote cardiovascular disease diagnosis
Recently, it has proven difficult to make an immediate remote diagnosis of any coronary
illness, including heart disease, diabetes, etc. The drawbacks of cloud computing …
illness, including heart disease, diabetes, etc. The drawbacks of cloud computing …
Heartfog: Fog computing enabled ensemble deep learning framework for automatic heart disease diagnosis
Abstract Recently IoT, ie, Internet of Things, is gaining importance for various fields; e-
Healthcare is one of the IoT applications that can be used in develo** different kinds of …
Healthcare is one of the IoT applications that can be used in develo** different kinds of …
Diagnose Diabetic Mellitus Illness Based on IoT Smart Architecture
Obtaining a quick remote diagnosis of heart disease has proven problematic in recent days.
To overcome such issues in e‐Healthcare systems, Internet of Things (IoT) applications …
To overcome such issues in e‐Healthcare systems, Internet of Things (IoT) applications …
Heart disease prediction using stacking model with balancing techniques and dimensionality reduction
Heart disease is a serious worldwide health issue with wide-reaching effects. Since heart
disease is one of the leading causes of mortality worldwide, early detection is crucial …
disease is one of the leading causes of mortality worldwide, early detection is crucial …
[PDF][PDF] A Review of Machine Learning Techniques Used in the Prediction of Heart Disease
Heart disease stands as a principal cause of death worldwide, and its early prediction is
essential for effective patient management and the reduction of healthcare expenditures. In …
essential for effective patient management and the reduction of healthcare expenditures. In …
Simulating Fog of Medical Things: Research Challenges and Opportunities
Technology has a significant impact on medical applications at the current moment.
Contemporary computers are capable of processing a lot of patient medical records quickly …
Contemporary computers are capable of processing a lot of patient medical records quickly …
An ensemble deep learning approach for Chronic kidney disease (CKD) prediction
A form of chronic disease-related kidney that causes a progressive decrease in kidney
function over time is Chronic kidney disease (CKD). The kidney's primary role is to filter …
function over time is Chronic kidney disease (CKD). The kidney's primary role is to filter …
Prevention of Phishing attacks using AI Algorithm
A particularly successful type of cybercrime that allows criminals to trick people and steal
crucial data is phishing. Phishing is currently one of the most common online scams …
crucial data is phishing. Phishing is currently one of the most common online scams …
ReCuRandom: A hybrid machine learning model for significant gene identification
The method of evaluating the physical traits of living creatures by generating essential
proteins is known as gene expression. Translation and transcription are the two processes …
proteins is known as gene expression. Translation and transcription are the two processes …
Smart farming based on deep learning approaches
SS Tripathy, N Tripathy, M Rath, A Pati… - 2022 2nd Odisha …, 2022 - ieeexplore.ieee.org
A novel idea called “smart farming” aims to increase the productivity and effectiveness of
agriculture by utilizing cutting-edge information technologies. Using the most recent …
agriculture by utilizing cutting-edge information technologies. Using the most recent …