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Showing 1-0 of 550 projects
Automating claims fraud detection in insurance with explainable artificial intelligence (XAI) integrates advanced machine learning models with transparent decis...
This research presents a data-driven framework to enhance microinsurance product design and pricing for smallholder farmers in emerging markets by integrating r...
This study develops and validates an Explainable AI framework to forecast personal lines insurance claims and support risk scoring and pricing decisions across ...
This study investigates how AI-driven underwriting transforms premium pricing and risk selection for small and medium-sized enterprises (SMEs) within the non-li...
In many emerging markets, microinsurance remains underutilized despite its potential to mitigate household expenditure shocks, drive financial inclusion, and pr...
The study investigates how advanced analytics, including machine learning, predictive modeling, and data fusion, influence underwriting accuracy and risk pricin...
Dynamic pricing and risk assessment for microinsurance using machine learning and telematics investigates how advanced analytics and real-time data can transfor...
This study investigates the factors shaping awareness and uptake of microinsurance among low-income households through mobile-based interventions in [Country/Re...
This study investigates how parametric microinsurance influences agricultural risk management and resilience in emerging economies, focusing on smallholder farm...
This study develops a scalable predictive modeling framework to assess catastrophe risk within microinsurance portfolios by integrating Explainable AI (XAI) and...
This study develops and validates a machine learning-driven framework for risk assessment and pricing of climate-related catastrophe insurance, addressing the g...
This study investigates the transformative role of artificial intelligence (AI) in underwriting processes and its ripple effects on the claim lifecycle within h...
This study presents the design, development, and evaluation of an AI-driven pricing framework tailored for microinsurance products in emerging markets, aiming t...
This study investigates how telematics-based premium pricing influences claim frequency and customer retention in personal auto insurance, employing machine lea...
This study investigates how telematics-based pricing influences motor insurance demand, risk exposure, and premium stability in emerging markets, employing a da...
This study investigates how climate risk influences retail insurance premiums by integrating catastrophe modeling with advanced machine learning techniques to q...
This study assesses how parametric insurance can enhance risk management for smallholder farmers facing climate variability, integrating telemetry-driven weathe...
This study develops a comprehensive framework for assessing cyber insurance risk for small and medium-sized enterprises (SMEs) by integrating quantitative model...
This study investigates how microinsurance adoption influences financial inclusion and risk resilience among low-income urban communities, focusing on comprehen...
This study investigates how parametric insurance influences risk management among smallholder farmers facing climate variability in [region/country], with a foc...
This study investigates how climate risk influences parameter estimation and pricing in property insurance portfolios by integrating catastrophe modeling with a...
This research presents the development of an innovative AI-driven personalization system designed to enhance insurance policy recommendations, addressing the in...
The rapid advancement of artificial intelligence (AI) technologies has revolutionized various industries, with the insurance sector being no exception. This res...
The rapid advancement of artificial intelligence (AI) and data analytics has transformed various sectors, with the insurance industry being a significant benefi...
The rapid advancement of artificial intelligence (AI) and data analytics has revolutionized various industries, with insurance being one of the most significant...
The increasing prevalence of fraud in health insurance claims has become a significant challenge for insurers, leading to substantial financial losses and under...
This research explores the development of an innovative AI-powered system designed to enhance the detection and prevention of fraudulent claims in the property ...
The rapid growth of the insurance industry has been accompanied by increasing instances of claim fraud, which significantly impacts the financial stability and ...
The increasing prevalence of fraudulent activities in health insurance claims poses significant financial challenges to insurance providers and undermines the i...
This research explores the development and implementation of a blockchain-based platform designed to automate claims processing within the insurance industry, a...