Shibah, S. R. M. (2026). A Rigorous Theoretical Framework for Non-Surgical Precision Management of Prostate Cancer: Hierarchical Fusion of Graph Attention Networks, Vision Transformers, and Reinforcement Learning with Provable PAC-Bayes Generalization, Lyapunov-Stable ODE Dynamics, and Spatiomolecular Reasoning for Adaptive Therapeutic Regimens. Zenodo.
Chicago Style (17th ed.) CitationShibah, Sami Rashid Mohammed. A Rigorous Theoretical Framework for Non-Surgical Precision Management of Prostate Cancer: Hierarchical Fusion of Graph Attention Networks, Vision Transformers, and Reinforcement Learning with Provable PAC-Bayes Generalization, Lyapunov-Stable ODE Dynamics, and Spatiomolecular Reasoning for Adaptive Therapeutic Regimens. Zenodo, 2026.
MLA (9th ed.) CitationShibah, Sami Rashid Mohammed. A Rigorous Theoretical Framework for Non-Surgical Precision Management of Prostate Cancer: Hierarchical Fusion of Graph Attention Networks, Vision Transformers, and Reinforcement Learning with Provable PAC-Bayes Generalization, Lyapunov-Stable ODE Dynamics, and Spatiomolecular Reasoning for Adaptive Therapeutic Regimens. Zenodo, 2026.