A Review of Fraudulent Practices in Healthcare Insurance and Machine Learning-Based Investigation Approaches

A Salau, NA Nnanna, MM Boukar - 2023 14th International …, 2023 - ieeexplore.ieee.org
Healthcare insurance fraud is a complex and costly problem that has become a concern
globally. Traditional methods of detecting fraudulent claims and requests are time …

Health Insurance Fraud Detection Using Feature Selection and Ensemble Machine Learning Techniques

A Mohanta, S Panigrahi - … in Distributed Computing and Machine Learning …, 2023 - Springer
Frauds existing in the healthcare system have led to additional expenses as well as caused
degradation of the quality of services being provided to patients. In this research, we have …

Secure aspect of digital twin for industry 4.0 application improvement using machine learning

A Potgantwar, S Aggarwal, P Pant… - Available at SSRN …, 2022 - papers.ssrn.com
With the new paradigm of digital manufacturing and the idea of Industry 4.0, it is now
possible to combine the progress made in manufacturing with the latest information and …

[PDF][PDF] Principal Component Analysis on mixed data for Deep Neural Network classifier in banking system

CL Krishna, PVS Reddy - International Journal of Computer …, 2019 - researchgate.net
Data stored in repositories are rapidly growing in terms of instances represented with
multiple attributes/dimensions. To represent characteristics of an instance, mixed type …

[PDF][PDF] Proposed Algorithm for Secured Transaction using 3-Tier Architecture

P Sharma, P Chaurasia - International Journal of Computer …, 2018 - researchgate.net
A Greater demands for fast and accurate user identification and authentication in electronic
transaction increases day by day. Continuous development of technology, Security …

Towards Accurate Prediction of Prospective Insurance Customers via an Enhanced Optimization Aided Deep Learning Model

SS Manakhari - 2023 - search.proquest.com
This study has demonstrated how to achieve higher performance and accuracy for data
analytics applications in insurance industries by using the hybrid grey wolf and whale …

Improving The Wireless Sensor Network Survivability By Using Human-Inspired Deep Learning

PR Bhaladhare, S Aggarwal, S Srivastava… - Available at SSRN …, 2022 - papers.ssrn.com
Reliability refers to a network's ability to perform its intended functions under defined
conditions and for a predetermined time (SSWSNs). Depending on the distance between the …

Internet Of Things Security For Industrial Applications Using Computational Intelligence

R Kumar, VP Sonaje, V Jadhav… - Available at SSRN …, 2022 - papers.ssrn.com
Cyber security is a big concern for IoT-enabled cyber physical systems like Big Data, supply
chains that are linked together, and industry control systems. Evolutionary computation and …

[PDF][PDF] Intelligent Chat-Bot Using AI For Medical Care

R Kumar, P Aher, S Zope, N Patil… - Available at SSRN …, 2022 - researchgate.net
This article is about CHATBOT, a new learning tool that uses data collected over time to help
students do better in school. A CHATBOT is a computer-programmed artificial intelligence …

[PDF][PDF] ULUSLARARASI TELEKOMÜNİKASYON BİRLİĞİ ÜYE ÜLKELERİNİN VERİ MADENCİLİĞİ YÖNTEMLERİ İLE İNCELENMESİ VE TÜRKİYE'NİN …

AGDG KOLAYLI, F LORCU - DİSİPLİNLERARASI, 2023 - iksadyayinevi.com
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