ISW-LM: An intensive symptom weight learning mechanism for early COVID-19 diagnosis
L Fang, X Liang - Computers in biology and medicine, 2022 - Elsevier
The novel coronavirus disease 2019 (COVID-19) pandemic has severely impacted the
world. The early diagnosis of COVID-19 and self-isolation can help curb the spread of the …
world. The early diagnosis of COVID-19 and self-isolation can help curb the spread of the …
An efficient SMOTE based machine learning classification for prediction & detection of PCOS
Polycystic ovary syndrome (PCOS) is a well known catabolism based and reproductive
endocrinopathies disease which affects up to 18% of women in reproductive age. PCOS …
endocrinopathies disease which affects up to 18% of women in reproductive age. PCOS …
A predictive method for emotional sentiment analysis by deep learning from EEG of brainwave dataset
Sentiment analysis is a popular technique for analyzing a person's behavior.
Electroencephalography (EEG) is a non-invasive device for collecting brainwaves, which …
Electroencephalography (EEG) is a non-invasive device for collecting brainwaves, which …
Hybrid genetic algorithm random forest algorithm (HGARF) for improving the missing value imputation in hepatitis medical dataset
It has always been difficult to make an exact prediction when there are many missing
numbers in the data collection. To solve this problem, the majority of hybrid models either …
numbers in the data collection. To solve this problem, the majority of hybrid models either …
[PDF][PDF] Analysis of PCA based adaboost machine learning model for predict mid-term weather forecasting
S Sen, S Saha, S Chaki, P Saha… - … and Machine Learning, 2021 - cimachinelearning.com
In general, weather forecasting is done with the use of enormously complicated physical
science models that use a variety of environmental circumstances over a long period of time …
science models that use a variety of environmental circumstances over a long period of time …
Heart disease prediction: A comparative study based on a machine-learning approach
In recent times coronary disease has been one of the most common ailments that human
beings can suffer from. In this ailment, blood cannot circulate to the different parts of the …
beings can suffer from. In this ailment, blood cannot circulate to the different parts of the …
Development of Fuzzy Inference System for Covid-19 Data Analysis
As COVID-19 Pandemic and related data is very recent. COVID-19 infected most of the
population from entire globe with different impact. It disclosed the limitation of access of …
population from entire globe with different impact. It disclosed the limitation of access of …
[图书][B] Artificial Intelligence for Cognitive Modeling: Theory and Practice
This book is written in a clear and thorough way to cover both the traditional and modern
uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical …
uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical …
[PDF][PDF] Early & accurate forecasting of mid term wind energy based on PCA empowered supervised regression model
Wind energy is a renewable energy resource used for generating electricity without affecting
the environmental balance. Hence forecasting of the wind speed is an important parameter …
the environmental balance. Hence forecasting of the wind speed is an important parameter …
Exploring Machine Learning contribution in COVID-19 cure and management: Predicting Mortality and Vaccine Efficacy: A survey
I Essamlali, H Nhaila - E3S Web of Conferences, 2023 - e3s-conferences.org
The SARS-CoV-2 virus, responsible for the COVID-19 pandemic, has left an indelible mark
on a global scale. This illness, exhibiting a spectrum of mild to severe symptoms, has …
on a global scale. This illness, exhibiting a spectrum of mild to severe symptoms, has …