DFT/TDDFT calculations of geometry optimization, electronic structure and spectral properties of clevudine and telbivudine for treatment of chronic hepatitis B
DF Tegegn, HZ Belachew, AO Salau - Scientific Reports, 2024 - nature.com
Chronic hepatitis B remains a worldwide health concern. Presently, many drugs, such as
Clevudine and Telbivudine, are recommended for the treatment of chronic hepatitis B …
Clevudine and Telbivudine, are recommended for the treatment of chronic hepatitis B …
Addressing class imbalance in deep learning for acoustic target classification
Acoustic surveys provide important data for fisheries management. During the surveys, ship-
mounted echo sounders send acoustic signals into the water and measure the strength of …
mounted echo sounders send acoustic signals into the water and measure the strength of …
Classification of cervical spine disease using convolutional neural network
Cervical spondylosis myelopathy (CSM) is a degenerative disorder of the cervical spine's
disks and joints, leading to neurological disability. Typically, this condition causes increasing …
disks and joints, leading to neurological disability. Typically, this condition causes increasing …
X-ray image-based pneumonia detection and classification using deep learning
Pneumonia is a dangerous lung disease that has affected millions of people worldwide.
Several people have died as a result of incorrect pneumonia diagnosis and treatment. This …
Several people have died as a result of incorrect pneumonia diagnosis and treatment. This …
Binary Gaussian Copula Synthesis: A Novel Data Augmentation Technique to Advance ML-based Clinical Decision Support Systems for Early Prediction of Dialysis …
The Center for Disease Control estimates that over 37 million US adults suffer from chronic
kidney disease (CKD), yet 9 out of 10 of these individuals are unaware of their condition due …
kidney disease (CKD), yet 9 out of 10 of these individuals are unaware of their condition due …
Feature Contribution to an In-Depth Understanding of the Machine Learning Model Interpretation.
English A transparent and understandable machine learning model refers to a model that is
accurate, effective, explainable, and interpretable to humans. An interpretable model …
accurate, effective, explainable, and interpretable to humans. An interpretable model …
Evaluation of Adaptive Synthetic Resampling Technique for Imbalanced Breast Cancer Identification
TA Assegie, AO Salau, K Sampath… - Procedia Computer …, 2024 - Elsevier
As one of the most common types of cancer among women, breast cancer is a serious
health concern worldwide. Early detection is crucial for successful treatment and improved …
health concern worldwide. Early detection is crucial for successful treatment and improved …
Machine Learning Based Optimal Feature Selection for Pediatric Ultrasound Kidney Images Using Binary Coati Optimization.
F Kausar, B Ramamurthy - International Journal of Intelligent …, 2024 - search.ebscohost.com
Chronic kidney disease (CKD) one of the most dangerous illnesses. Early detection is vital
for improving survival rates and underscoring the need for an intelligent classifier to …
for improving survival rates and underscoring the need for an intelligent classifier to …
Enhanced Credit Card Fraud Detection Using Deep Learning Techniques.
OI Obaid, AY Al-Sultan - Journal of Cybersecurity & …, 2024 - search.ebscohost.com
Credit card fraud is a huge challenge in the financial sector, causing huge losses every year.
The problem is exacerbated by increased marketing and sophisticated fraudulent activities …
The problem is exacerbated by increased marketing and sophisticated fraudulent activities …
Analysis of Network Intrusion Detection via Explainable Artificial Intelligence: Applications with SHAP and LIME
The rise of complex cyber threats in recent years has prompted the creation of Network
Intrusion Detection Systems (NIDS). Nevertheless, the traditional NIDS has issues in …
Intrusion Detection Systems (NIDS). Nevertheless, the traditional NIDS has issues in …