Internet of Healthcare Things: A contemporary survey
Abstract Internet of Things (IoT) is one of the emerging technologies, which is expanding its
wings day by day. Smart objects in the IoT system are the ultimate building blocks used in …
wings day by day. Smart objects in the IoT system are the ultimate building blocks used in …
Performance analysis of machine learning based optimized feature selection approaches for breast cancer diagnosis
Healthcare systems around the world are facing huge challenges in responding to trends of
the rise of chronic diseases. The objective of our research study is the adaptation of Data …
the rise of chronic diseases. The objective of our research study is the adaptation of Data …
[HTML][HTML] RETRACTED ARTICLE: India perspective: CNN-LSTM hybrid deep learning model-based COVID-19 prediction and current status of medical resource …
The epidemic situation may cause severe social and economic impacts on a country. So,
there is a need for a trustworthy prediction model that can offer better prediction results. The …
there is a need for a trustworthy prediction model that can offer better prediction results. The …
A contemporary survey on IoT based smart cities: architecture, applications, and open issues
Abstract Internet of Things (IoT) is one of the emerging technologies, which is widely used
across the globe. As the idea of a smart city was founded, IoT has been acknowledged as …
across the globe. As the idea of a smart city was founded, IoT has been acknowledged as …
Covid-MANet: Multi-task attention network for explainable diagnosis and severity assessment of COVID-19 from CXR images
The devastating outbreak of Coronavirus Disease (COVID-19) cases in early 2020 led the
world to face health crises. Subsequently, the exponential reproduction rate of COVID-19 …
world to face health crises. Subsequently, the exponential reproduction rate of COVID-19 …
[HTML][HTML] Scalable kernel-based SVM classification algorithm on imbalance air quality data for proficient healthcare
In the last decade, we have seen drastic changes in the air pollution level, which has
become a critical environmental issue. It should be handled carefully towards making the …
become a critical environmental issue. It should be handled carefully towards making the …
[HTML][HTML] Image enhancement techniques on deep learning approaches for automated diagnosis of COVID-19 features using CXR images
The outbreak of novel coronavirus (COVID-19) disease has infected more than 135.6 million
people globally. For its early diagnosis, researchers consider chest X-ray examinations as a …
people globally. For its early diagnosis, researchers consider chest X-ray examinations as a …
Spatial air quality index and air pollutant concentration prediction using linear regression based recursive feature elimination with random forest regression (RFERF) …
S Ketu - Natural Hazards, 2022 - Springer
In the last decade, air pollution has become one of the vital environmental issues and has
expanded its wings day by day. Prediction of air quality plays a crucial role in warning …
expanded its wings day by day. Prediction of air quality plays a crucial role in warning …
Deep learning approaches for automated diagnosis of covid-19 using imbalanced training cxr data
Due to the exponential rise of COVID-19 worldwide, it is important that the artificial
intelligence community address to analyze CXR images for early classification of COVID-19 …
intelligence community address to analyze CXR images for early classification of COVID-19 …
[PDF][PDF] Using Big Data to Discover Chaos in China's Futures Market During COVID-19.
L Tie, B Huang, B Pan, G Sun - Computers, Materials & Continua, 2021 - cdn.techscience.cn
COVID-19 was first reported in China and quickly spread throughout the world. Weak
investor confidence in government efforts to control the pandemic seriously affected global …
investor confidence in government efforts to control the pandemic seriously affected global …