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Advanced Ai-driven Auto Insurance Fraud Detection: a Technical Overview

Year: 2025

Type: article

Abstract: This technical article explores the comprehensive implementation of advanced fraud detection systems in auto insurance, focusing on the integration of artificial intelligence and machine learning technologies.It examines various components including supervised and unsupervised learning models, telematics integration, computer vision analysis, natural language processing, and optical character SaratBabu Vamkeswaram

Source: INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY

DOI: 10.34218/ijrcait_08_01_174

Author: SaratBabu Vamkeswaram

Institution: Acharya Nagarjuna University

Language: English

Topic: Imbalanced Data Classification Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: bronze

OpenAlex ID: W4407528742

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