A systematic literature review and future perspectives for handling big data analytics in COVID-19 diagnosis
In today's digital world, information is growing along with the expansion of Internet usage
worldwide. As a consequence, bulk of data is generated constantly which is known to be …
worldwide. As a consequence, bulk of data is generated constantly which is known to be …
[PDF][PDF] Pneumonia detection using CNN through chest X-ray
In general, pneumonia affects children under 5 years and adults over 65 years of age which
targets the lungs and fills the alveoli (air sacs) with liquid. In this paper, we employ …
targets the lungs and fills the alveoli (air sacs) with liquid. In this paper, we employ …
[PDF][PDF] A deep learning model for malaria disease detection and analysis using deep convolutional neural networks
Malaria is a very infectious disease that is caused by female anopheles mosquito. This
disease not only harms humans but also animals. If this disease not diagnosed properly in …
disease not only harms humans but also animals. If this disease not diagnosed properly in …
A dual approach for credit card fraud detection using neural network and data mining techniques
A Sahu, GM Harshvardhan… - 2020 IEEE 17th India …, 2020 - ieeexplore.ieee.org
The world is being more and more digitalized with each passing day, making information
security a huge concern. Through efficient fraud detection using a robust approach, the …
security a huge concern. Through efficient fraud detection using a robust approach, the …
Automatic detection of heart diseases using biomedical signals: A literature review of current status and limitations
MMR Khan Mamun, A Alouani - Future of Information and Communication …, 2022 - Springer
Heart diseases impact disproportionately the low-income portion of any society. The lack of
a sufficient number of physicians as well as expensive diagnostic procedures brings forth …
a sufficient number of physicians as well as expensive diagnostic procedures brings forth …
Application of machine learning in industry 4.0
The fourth industrial revolution, Industry 4.0, is concerned with the ongoing changes and
advances in the way of manufacturing and processes involved for the production of goods …
advances in the way of manufacturing and processes involved for the production of goods …
Data science appositeness in diabetes mellitus diagnosis for healthcare systems of developing nations
One of the capacious applications of data science could be its use in bioinformatics. With its
proper implementation, chronic diseases like diabetes mellitus, responsible for millions of …
proper implementation, chronic diseases like diabetes mellitus, responsible for millions of …
Juxtaposing inference capabilities of deep neural models over posteroanterior chest radiographs facilitating COVID-19 detection
G Jee, GM Harshvardhan… - Journal of Interdisciplinary …, 2021 - Taylor & Francis
Abstract Severe Acute Respiratory Syndrome Corona Virus 2 or SARS-CoV-2 (COVID-19)
has affected 21 million people worldwide and is responsible for 0.75 million deaths (as of …
has affected 21 million people worldwide and is responsible for 0.75 million deaths (as of …
Classification system for prediction of chronic kidney disease using data mining techniques
I Saha, MK Gourisaria, GM Harshvardhan - Advances in Data and …, 2022 - Springer
Chronic kidney disease leads to the dysfunctioning of kidneys where it is unable to regulate
and filter minerals from the blood. To help the medical experts, this paper shows the …
and filter minerals from the blood. To help the medical experts, this paper shows the …
Real estate cost estimation through data mining techniques
S Khare, MK Gourisaria… - IOP conference …, 2021 - iopscience.iop.org
Real estate is one of the most fast-paced and emerging industries today. Nowadays
everyone wants to be the owner of their house rather than live on rent. Therefore, people are …
everyone wants to be the owner of their house rather than live on rent. Therefore, people are …