This study reviews the evolution of AI-driven sampling strategies and proposes an adaptive framework that combines statistical sampling with intelligent decision-making mechanisms for real-time data selection, demonstrating that intelligent sampling can reduce training data requirements by 30–60% while maintaining over...
B. K, Meena Krishnan· International Journal of Mac...· 0 citations
Warehouse logistics has been fundamentally changed by the blistering development of e-commerce, global supply chains and consumer demands to be delivery in less time. Manual and semi-manual warehouse systems are gradually becoming incapable of satisfying contemporary requirements with respect to speed, accuracy, scale,...
B. K· International Journal of Mod...· 0 citations
Smart farming has become a paradigm shift within the agricultural sphere of contemporary society by using high-tech sensing, communication, and data analytics solutions to improve productivity-sustainability and decision-making. One of such technologies is unmanned aerial vehicles (UAVs also known as drones) which have...
B. K· International Journal of Mod...· 0 citations
This paper proposes an Explainable Deep Reinforcement Learning (XDRL) framework to automate and personalize credit limit adjustments based on customer behavior, financial data, and macroeconomic indicators, and learns optimal credit limit strategies that balance risk, customer satisfaction, and profitability.
B. K, Meena Krishnan· International Journal of Int...· 0 citations
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