AiIoMT: IoMT-based system-enabled artificial intelligence for enhanced smart healthcare systems
The healthcare system has been on the frontline in recent years, researchers have tried to
find solutions to different illnesses and sickness by applying various modern methods. But …
find solutions to different illnesses and sickness by applying various modern methods. But …
Application of artificial intelligence and big data for fighting COVID-19 pandemic
Abstract The coronavirus (COVID-19) pandemic is playing sensitive havoc in socio-
communal systems, humanity and creates economic crises worldwide. Many strategies have …
communal systems, humanity and creates economic crises worldwide. Many strategies have …
Disease diagnosis system for IoT-based wearable body sensors with machine learning algorithm
In recent years, the continuous growth in global infectious disease coupled with population
growth and the associated increase in expectancy lead to the search for new ways of …
growth and the associated increase in expectancy lead to the search for new ways of …
Hybrid cloud/Fog environment for healthcare: an exploratory study, opportunities, challenges, and future prospects
The healthcare system has been on the frontline in recent years, and new technologies have
greatly benefited healthcare. Researchers have tried to find solutions to different problems …
greatly benefited healthcare. Researchers have tried to find solutions to different problems …
Explainable artificial intelligence (XAI) in medical decision systems (MDSSs): Healthcare systems perspective
The healthcare sector is very interested in machine learning (ML) and artificial intelligence
(AI). Nevertheless, applying AI applications in scientific contexts is difficult due to …
(AI). Nevertheless, applying AI applications in scientific contexts is difficult due to …
Data classification model for COVID-19 pandemic
A significant worldwide pandemic disease that has shut the whole world's economy and put
the health care services personnel into anxiety is COronaVIrus Disease 2019 (COVID-19). It …
the health care services personnel into anxiety is COronaVIrus Disease 2019 (COVID-19). It …
[BOOK][B] IoT-Enabled Convolutional Neural Networks: Techniques and Applications
Convolutional neural networks (CNNs), a type of deep neural network that has become
dominant in a variety of computer vision tasks, in recent years, CNNs have attracted interest …
dominant in a variety of computer vision tasks, in recent years, CNNs have attracted interest …
Comparing the performance of various supervised machine learning techniques for early detection of breast cancer
Cancer is a fatal disease that is constantly changing and affects a vast number of individuals
worldwide. At the research level, much work has gone into the creation and improvement of …
worldwide. At the research level, much work has gone into the creation and improvement of …
Relevant gene selection using ANOVA-ant colony optimisation approach for malaria vector data classification
Recent progress in gene expression data research makes it possible to quantify and identify
several thousand genes' expressions simultaneously. For malaria infection and …
several thousand genes' expressions simultaneously. For malaria infection and …
Explainable artificial intelligence in genomic sequence for healthcare systems prediction
Various Classification techniques have been developed in past years and applied on
genomic sequence for the dynamic modelling. These methods have resulted to impressive …
genomic sequence for the dynamic modelling. These methods have resulted to impressive …