7 citations · 14 across the 4 of their papers we have counts for
5 papers
TNF based Spectral Embedding for Effective Application of Supervised Machine Learning Techniques in Automobile Insurance Fraud Detection
Rohan Yashraj Gupta, Lalith Srikanth Chintalapati, Satya Sai Mudigonda +2
Fraud detection is an important area of research in the insurance business due to its financial implications. The primary aim of a fraud detection model is to identify fraud and no…
FLoW3 -- Web3 Empowered Federated Learning
Venkata Raghava Kurada, Pallava Kumar Baruah
Federated Learning is susceptible to various kinds of attacks like Data Poisoning, Model Poisoning and Man in the Middle attack. We perceive Federated Learning as a hierarchical st…
Oscillation criteria for higher order coupled systems
Bharadwaj B V K, Pallav Kumar Baruah
In this paper we have considered higher order two dimensional coupled system of non-linear ordinary differential equations. We have given necessary and sufficient conditions on the…
Markov model with machine learning integration for fraud detection in health insurance
Rohan Yashraj Gupta, Satya Sai Mudigonda, Pallav Kumar Baruah +1
Fraud has led to a huge addition of expenses in health insurance sector in India. The work is aimed to provide methods applied to health insurance fraud detection. The work present…
Implementation of Correlation and Regression Models for Health Insurance Fraud in Covid-19 Environment using Actuarial and Data Science Techniques
Rohan Yashraj Gupta, Satya Sai Mudigonda, Pallav Kumar Baruah +1
Fraud acts as a major deterrent to a companys growth if uncontrolled. It challenges the fundamental value of Trust in the Insurance business. COVID-19 brought additional challenges…