Impact of artificial intelligence on COVID-19 pandemic: a survey of image processing, tracking of disease, prediction of outcomes, and computational medicine
Integrating machine learning technologies into artificial intelligence (AI) is at the forefront of
the scientific and technological tools employed to combat the COVID-19 pandemic. This …
the scientific and technological tools employed to combat the COVID-19 pandemic. This …
[PDF][PDF] SVPA-the segmentation based visual processing algorithm (SVPA) for illustration enhancements in digital video processing (DVP)
J Logeshwaran, M Ramkumar, T Kiruthiga… - ICTACT Journal on …, 2022 - ictactjournals.in
At the present time photographic visual processing is rapidly moving towards the next stage.
In addition, a variety of visual processing technologies are evolving, such as splitting image …
In addition, a variety of visual processing technologies are evolving, such as splitting image …
[HTML][HTML] Cardiovascular diseases prediction by machine learning incorporation with deep learning
It is yet unknown what causes cardiovascular disease (CVD), but we do know that it is
associated with a high risk of death, as well as severe morbidity and disability. There is an …
associated with a high risk of death, as well as severe morbidity and disability. There is an …
[Retracted] Dense Convolutional Neural Network for Detection of Cancer from CT Images
SVN Sreenivasu, S Gomathi, MJ Kumar… - BioMed Research …, 2022 - Wiley Online Library
In this paper, we develop a detection module with strong training testing to develop a dense
convolutional neural network model. The model is designed in such a way that it is trained …
convolutional neural network model. The model is designed in such a way that it is trained …
Fuzzy weighted Bayesian belief network: a medical knowledge-driven Bayesian model using fuzzy weighted rules
S Kharya, S Soni, T Swarnkar - International Journal of Information …, 2023 - Springer
In this current work, Weighted Bayesian Association rules using the Fuzzy set theory are
proposed with the new concept of Fuzzy Weighted Bayesian Association Rules to design …
proposed with the new concept of Fuzzy Weighted Bayesian Association Rules to design …
Nanotechnology and COVID-19: Prevention, diagnosis, vaccine, and treatment strategies
In December 2019, Coronavirus pandemic (COVID-19) caused by Severe Acute Respiratory
Syndrome Coronavirus 2 (SARS-CoV-2) viruses, which affected the whole world, is …
Syndrome Coronavirus 2 (SARS-CoV-2) viruses, which affected the whole world, is …
[PDF][PDF] Hard voting meta classifier for disease diagnosis using mean decrease in impurity for tree models
Artificial Intelligence (AI) is rapidly transforming our world. With time it has spread into many
business areas [1-3] and is originating in medical field too with the increase in the …
business areas [1-3] and is originating in medical field too with the increase in the …
An enhanced diabetes mellitus prediction using feature selection-based type-2 fuzzy model
The diabetes mellitus has been known to be a serious illness and revered for its ability to
cause high mortality rate. This disease is famous among both youth and adult for its …
cause high mortality rate. This disease is famous among both youth and adult for its …
Smart Deep Learning Model to Recognize PCM Optimization Performance on Solar Cooling System
Abstract Phase Change Materials (PCMs) offer a significant advantage by reducing the need
for multiple cooling systems, potentially revolutionizing thermal comfort in buildings and …
for multiple cooling systems, potentially revolutionizing thermal comfort in buildings and …
[PDF][PDF] An Intelligent System Design for Emotion Recognition and Rectification Using Machine Learning
MUD Butkar, MJ Waghmare - Computer Integrated Manufacturing …, 2023 - researchgate.net
Automatic facial expression recognition can be a crucial component of typical human-
machine interfaces. A facial expression can be viewed from the perspective of automatic …
machine interfaces. A facial expression can be viewed from the perspective of automatic …