Identification of Malaria Disease Using Machine Learning Models
Malaria, caused by Plasmodium parasites in the bloodstream spread by infected
mosquitoes, is a highly severe and sometimes deadly disease. Image analysis and machine …
mosquitoes, is a highly severe and sometimes deadly disease. Image analysis and machine …
Robust residual convolutional neural network based pupil tracking for low-computational power applications
Abstract Existing Deep Fully Convolutional Network (DFCN) based pupil segmentation
models have been shown to perform robust and accurate pupil detection. However, they …
models have been shown to perform robust and accurate pupil detection. However, they …
Enhancing Security in Smart Healthcare Systems: Using Intelligent Edge Computing with a Novel Salp Swarm Optimization and Radial Basis Neural Network …
A smart healthcare system (SHS) is a health service system that employs advanced
technologies such as wearable devices, the Internet of Things (IoT), and mobile internet to …
technologies such as wearable devices, the Internet of Things (IoT), and mobile internet to …
Breast cancer tissue identification using deep learning in mammogram images
MS Kumar, KP Kumar - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Breast cancer, the most common cancer in women, is best detected through screening
programs. Mammography is the most common screening test, yet human error necessitates …
programs. Mammography is the most common screening test, yet human error necessitates …
EnhanceDeepIris Model for Iris Recognition Applications
S He, X Li - IEEE Access, 2024 - ieeexplore.ieee.org
In this study, an iris recognition technique based on enhanced EnhanceDeepIris model is
proposed in order to examine iris recognition at a deeper level. The process first uses …
proposed in order to examine iris recognition at a deeper level. The process first uses …
New Artificial Intelligence-based Methods for COVID-19 Diagnosis using Medical Devices
T Puhazhendhi, K Rajakumari… - 2023 Second …, 2023 - ieeexplore.ieee.org
The expanding COVID-19 epidemic has emphasized the critical need for accurate
diagnostic instruments. Artificial intelligence (AI) has recently emerged as a viable …
diagnostic instruments. Artificial intelligence (AI) has recently emerged as a viable …
Machine Learning Model for Accurate Prediction of Thyroid Disease
CP Rani, T Nagaraju, NSH Vardhan… - … on Advances in …, 2023 - ieeexplore.ieee.org
Thyroid disorder diagnosis and prognosis is an important concern in contemporary
medicine. Thyroid hormones are essential for a healthy metabolic rate and are released by …
medicine. Thyroid hormones are essential for a healthy metabolic rate and are released by …
Machine Learning Approaches for Sentiment Analysis in Social Media Data
S Thenappan, AR Krishnan… - 2023 7th …, 2023 - ieeexplore.ieee.org
As a crucial component of Natural Language Processing, sentiment analysis autonomously
identifies and categorizes the positive and negative emotions reflected in social media text …
identifies and categorizes the positive and negative emotions reflected in social media text …
Machine Learning Classifiers to Decrease Diabetic Patients Probability of Hospital Readmission
S Thenappan, N Ramshankar… - … on Electronics and …, 2023 - ieeexplore.ieee.org
Diabetes is a chronic condition that affects millions of individuals around the globe.
Unfortunately, patients with diabetes have a significant risk of hospital readmission following …
Unfortunately, patients with diabetes have a significant risk of hospital readmission following …
Enhancing Biomedical Image Interpretation Through a Hybrid Machine Learning Algorithm
R Rajkumar, LN Vempaty… - 2023 7th …, 2023 - ieeexplore.ieee.org
In contemporary medicine, biomedical image interpretation is essential for disease
diagnosis and the selection of appropriate treatments. However, manually scrutinizing these …
diagnosis and the selection of appropriate treatments. However, manually scrutinizing these …