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· International Journal of Mac...· 0 citations
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· International Journal of Art...· 0 citations
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· International Journal of Mod...· 0 citations
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