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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

A. R. Mohamed Shanavas

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3 papers indexed here

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Open access Aug 2026

Bayesian Policy Optimization over Conceptual Lattices for Interpretable Personalized Learning

This work presents the first integration of formal concept analysis with Bayesian reinforcement learning for pedagogical sequencing, providing a mathematically rigorous foundation for personalized learning that combines structural validity with quantifiable confidence estimates.

S. B. Ahamed, A. R. Mohamed Shanavas · 0 citations
Open access Jul 2026

A Hierarchical Multi-Agent Reinforcement Learning With a Heterogeneous Metaheuristic Aware Resource Allocation in Big Data-Cloud

Experimental results show that the proposed OPHM-DQN-ADBOA framework consistently reduces EC, execution delay, and SLA violations while improving resource utilisation and LB and the model achieves high scalability and adaptability in heterogeneous IoT-Cloud resource management.

A. Ali, A. R. Mohamed Shanavas · 0 citations
Open access Jul 2026

Optimized Multi-Path Relay Node Selection Using Deep Reinforcement Learning for Reliable and Energy-Efficient MANET Routing

Simulation results show that the suggested DRL-based relay node selection technique greatly improves network lifetime, Packet Delivery Ratio (PDR), throughput and routing stability while lowering packet collision, end-to-end delay and energy consumption.

A. A. Samathu, G. Ravi, A. R. Mohamed Shanavas · 0 citations

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