ADVANCED AI-DRIVEN AUTO INSURANCE FRAUD DETECTION: A TECHNICAL OVERVIEW

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 componentsincluding supervised and unsupervised learning models, telematics integration, computer vision analysis, natural language processing, and optical character SaratBabu Vamkeswaram

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Journal
INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY
Published
2025-02-13
DOI
https://doi.org/10.34218/ijrcait_08_01_174
Primary Topic
Imbalanced Data Classification Techniques
Type
article
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0.00
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article

ADVANCED AI-DRIVEN AUTO INSURANCE FRAUD DETECTION: A TECHNICAL OVERVIEW

SaratBabu Vamkeswaram
INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY
Imbalanced Data Classification Techniques
article

ADVANCED AI-DRIVEN AUTO INSURANCE FRAUD DETECTION: A TECHNICAL OVERVIEW

SaratBabu Vamkeswaram
article en

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 componentsincluding supervised and unsupervised learning models, telematics integration, computer vision analysis, natural language processing, and optical character SaratBabu Vamkeswaram

INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGYVol. 8(1)
Acharya Nagarjuna University (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 99%
Imbalanced Data Classification Techniques
DOIOpen Access PDFOpenAlex
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ADVANCED AI-DRIVEN AUTO INSURANCE FRAUD DETECTION: A TECHNICAL OVERVIEW — SaratBabu Vamkeswaram · INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY (2025) | TGRS Research Map | TGRS