[Retracted] A Novel Diabetes Healthcare Disease Prediction Framework Using Machine Learning Techniques
R Krishnamoorthi, S Joshi… - Journal of healthcare …, 2022 - Wiley Online Library
Diabetes is a chronic disease that continues to be a significant and global concern since it
affects the entire population's health. It is a metabolic disorder that leads to high blood sugar …
affects the entire population's health. It is a metabolic disorder that leads to high blood sugar …
Prospects and challenges of using machine learning for academic forecasting
The study examines the prospects and challenges of machine learning (ML) applications in
academic forecasting. Predicting academic activities through machine learning algorithms …
academic forecasting. Predicting academic activities through machine learning algorithms …
Machine learning enabled techniques for protecting wireless sensor networks by estimating attack prevalence and device deployment strategy for 5G networks
P Kumar, A Baliyan, KR Prasad… - Wireless …, 2022 - Wiley Online Library
A number of disadvantages of traditional networks may be attributed to the close relationship
that exists between the control plane and the data plane inside proprietary hardware …
that exists between the control plane and the data plane inside proprietary hardware …
Enhancement of patient facial recognition through deep learning algorithm: ConvNet
The use of machine learning algorithms for facial expression recognition and patient
monitoring is a growing area of research interest. In this study, we present a technique for …
monitoring is a growing area of research interest. In this study, we present a technique for …
Enabling artificial intelligence of things (AIoT) healthcare architectures and listing security issues
AA Pise, KK Almuzaini, TA Ahanger… - Computational …, 2022 - Wiley Online Library
A significant study has been undertaken in the areas of health care and administration of
cutting‐edge artificial intelligence (AI) technologies throughout the previous decade …
cutting‐edge artificial intelligence (AI) technologies throughout the previous decade …
AI‐DRIVEN Novel Approach for Liver Cancer Screening and Prediction Using Cascaded Fully Convolutional Neural Network
PK Shukla, M Zakariah, WA Hatamleh… - Journal of …, 2022 - Wiley Online Library
In experimental analysis and computer‐aided design sustain scheme, segmentation of cell
liver and hepatic lesions by an automated method is a significant step for studying the …
liver and hepatic lesions by an automated method is a significant step for studying the …
Hybrid Optimization Approach for Energy Control in Electric Vehicle Controller for Regulation of Three‐Phase Induction Motors
A Mehbodniya, P Kumar, X Changqing… - Mathematical …, 2022 - Wiley Online Library
Three‐phase induction motors are becoming increasingly popular for electric cars and
industrial uses because of their improved efficiency and simplicity of production, among …
industrial uses because of their improved efficiency and simplicity of production, among …
[Retracted] Machine Learning Techniques for Human Age and Gender Identification Based on Teeth X‐Ray Images
KC Santosh, N Pradeep, V Goel… - Journal of healthcare …, 2022 - Wiley Online Library
The use of digital medical images is increasing with advanced computational power that has
immensely contributed to developing more sophisticated machine learning techniques …
immensely contributed to developing more sophisticated machine learning techniques …
[Retracted] Sentiment Analysis of Statements on Social Media and Electronic Media Using Machine and Deep Learning Classifiers
When it comes to our everyday life, emotions have a critical role to play. It goes without
saying that it is critical in the context of mobile‐computer interaction. In social and mobile …
saying that it is critical in the context of mobile‐computer interaction. In social and mobile …
A machine learning approach for the detection of QRS complexes in electrocardiogram (ECG) using discrete wavelet transform (DWT) algorithm
A Rizwan, P Priyanga, EH Abualsauod… - Computational …, 2022 - Wiley Online Library
This study describes a modified approach for the detection of cardiac abnormalities and
QRS complexes using machine learning and support vector machine (SVM) classifiers. The …
QRS complexes using machine learning and support vector machine (SVM) classifiers. The …