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Author

Khammal Adil

2 papers indexed here

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Open access 2026

Learning to Schedule Machines and Operators: A Human-Aware Deep Q-Learning Framework for Dynamic Flexible Job Shops

A human-centered Deep Reinforcement Learning framework, DD4LQN, for dynamic flexible job shop scheduling under operator learning and forgetting dynamics, which integrates a disturbance-aware scenario generator, bounded logistic learning-forgetting dynamics, and deterministic Dual Pair Ranking to ensure auditable decisi...

Taji Hajar, Ayad Ghassane, Z. Abd-El-Hamid et al. · 0 citations
Open access 2026

The Agentic Enterprise Capability Framework (AECF): A Governance-First Architecture for Scalable AI Agent Deployments

The study contributes an integrated architectural model, propositional formalization, and validation agenda for governed enterprise AI agent deployments, and introduces the co-evolution constraint: technical capability layers cannot mature independently of governance capacity.

Khammal Adil, Hamzane Ibrahim, Marzak Abdelaziz et al. · 0 citations

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