Cybersecurity enhancement to detect credit card frauds in health care using new machine learning strategies
E Jayanthi, T Ramesh, RS Kharat… - Soft Computing, 2023 - Springer
As the usage of credit cards has become more common in health care applications of
everyday life, banks have found it very difficult to detect credit card fraud (CCF) …
everyday life, banks have found it very difficult to detect credit card fraud (CCF) …
[HTML][HTML] Optimized Ensemble Learning Approach with Explainable AI for Improved Heart Disease Prediction
ID Mienye, N Jere - Information, 2024 - mdpi.com
Recent advances in machine learning (ML) have shown great promise in detecting heart
disease. However, to ensure the clinical adoption of ML models, they must not only be …
disease. However, to ensure the clinical adoption of ML models, they must not only be …
The Imbalanced Classification of Fraudulent Bank Transactions Using Machine Learning
A Ruchay, E Feldman, D Cherbadzhi, A Sokolov - Mathematics, 2023 - mdpi.com
This article studies the development of a reliable AI model to detect fraudulent bank
transactions, including money laundering, and illegal activities with goods and services. The …
transactions, including money laundering, and illegal activities with goods and services. The …
Driving Technologies of Industry 5.0 in the Medical Field
S Dalal, B Seth, M Radulescu - … 5.0: An Organizational Model for Twin …, 2023 - emerald.com
Customers today expect businesses to cater to their individual needs by tailoring the
products they purchase to their own preferences. The term “Industry 5.0” refers to a new …
products they purchase to their own preferences. The term “Industry 5.0” refers to a new …
Prediction of micropollutant degradation kinetic constant by ultrasonic using machine learning
A prediction model based on XGBoost is proposed for ultrasonic degradation of
micropollutants' kinetic constants. After parameter optimization through iteration, the model …
micropollutants' kinetic constants. After parameter optimization through iteration, the model …
A Generalized Linear Model and Machine Learning Approach for Predicting the Frequency and Severity of Cargo Insurance in Thailand's Border Trade Context
P Panjee, S Amornsawadwatana - Risks, 2024 - mdpi.com
The study compares model approaches in predictive modeling for claim frequency and
severity within the cross-border cargo insurance domain. The aim is to identify the optimal …
severity within the cross-border cargo insurance domain. The aim is to identify the optimal …
Hyperparameters Optimization in XGBoost Model for Rainfall Estimation: A Case Study in Pontianak City
Estimating rainfall accurately is crucial for both the community and various institutions
involved in managing water resources and preventing disasters. The XGBoost model has …
involved in managing water resources and preventing disasters. The XGBoost model has …
Hybrid deep learning model for IT-OT integration in Industry 4.0
D Gahlawat, S Suhag, U Rani… - … Conference On Smart …, 2023 - ieeexplore.ieee.org
Industry 4.0 revolutionizes the manufacturing sector by integrating information technology
(IT) and operational technology (OT) to create smart factories. The IT-OT integration enables …
(IT) and operational technology (OT) to create smart factories. The IT-OT integration enables …
[PDF][PDF] Optimized application of artificial intelligence (AI) in aviation market.
M Kumar - International Journal of Recent Research Aspects, 2022 - ijrra.net
Businesses may now communicate with their consumers in new ways, make new strategic
decisions, and create new workflows thanks to technological advancements. Things like …
decisions, and create new workflows thanks to technological advancements. Things like …
[PDF][PDF] Optimization of Cluster Points Using Particle Swarm Algorithm
BK Deva, S Madavi, U Rani - Optimization, 2023 - academia.edu
" K-Means" Clustering is an unsupervised literacy technique used to solve clustering
problems in information wisdom or machine literacy. Viscosity grounded DBSCAN is a …
problems in information wisdom or machine literacy. Viscosity grounded DBSCAN is a …