[HTML][HTML] Enhancing fraud detection in auto insurance and credit card transactions: a novel approach integrating CNNs and machine learning algorithms
R Ming, O Abdelrahman, N Innab… - PeerJ Computer …, 2024 - peerj.com
Fraudulent activities especially in auto insurance and credit card transactions impose
significant financial losses on businesses and individuals. To overcome this issue, we …
significant financial losses on businesses and individuals. To overcome this issue, we …
The Effect of Feature Selection on Diabetes Prediction Using Machine Learning
R Alhalaseh, DAG AL-Mashhadany… - 2023 IEEE Symposium …, 2023 - ieeexplore.ieee.org
Diabetes arises from inadequate insulin production or ineffective response to insulin in the
body, leading to long-term health complications such as cardiovascular disorders and organ …
body, leading to long-term health complications such as cardiovascular disorders and organ …
AFEN: Respiratory Disease Classification using Ensemble Learning
We present AFEN (Audio Feature Ensemble Learning), a model that leverages
Convolutional Neural Networks (CNN) and XGBoost in an ensemble learning fashion to …
Convolutional Neural Networks (CNN) and XGBoost in an ensemble learning fashion to …
Crop Recommendation System Using Machine Learning: A Comparative Study
Agriculture, as a fundamental aspect of human existence, faces challenges in crop selection,
impacting resource allocation and productivity. This project addresses these challenges by …
impacting resource allocation and productivity. This project addresses these challenges by …