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Pooja Agarwal

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Open access 2024

AI-Based Predictive Analytics Frameworks for Data-Driven Organizations

This study presents a comprehensive framework that includes data acquisition, preprocessing, feature engineering, predictive modeling, evaluation, and decision support, concluding that predictive analytics is a key enabler of intelligent enterprises and future data-driven innovation.

Pooja Agarwal, Rakesh Chandra · 0 citations
Open access 2022

Hybrid AI Architectures for Complex Decision Support Systems

This paper analyzes hybrid AI systems that combine symbolic approaches (rule-based reasoning, interpretability) with sub-symbolic methods (machine learning, neural networks) to improve flexibility and robustness and suggests future directions, including explainable AI and scalable distributed architectures.

Riyaz Mohammed, Pooja Agarwal · 0 citations
Open access 2023

AI-Driven Decision Systems for Real-Time Disaster Prediction

An approach based on multi-layered which involves combining real-time data collection, AI-enhanced predictive analytics, and automated decision-making to improve disaster preparedness and response is suggested to improve disaster preparedness and response.

Pooja Agarwal · 0 citations

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