... with the Industry Foundation Classes (IFC) ontology, controlled use of compact large language models (LLMs) for linguistically intensive subtasks, and deterministic generation of executable SPARQL Constraints, Rules, and Functions. End-to-end traceability is implemented through PROV Ontology (PROV-O). Findings...

..., then implemented Hybrid Quantum SVR, followed by Hybrid Large Language Models (GPT-2) and XGBoost, concluding in hybrid neural networks, XGBoost and CatBoost. Findings The novel hybrid prediction model achieved outstanding performance metrics, demonstrating near-perfect accuracy and reliability. Key results...

... Publishing Limited Licensed re-use rights only Samad Sepasgozar can be contacted at: dr.samad.sepasgozar@gmail.com Artificial intelligence (AI) Machine learning Large language models Reinforcement learning Deep learning Building information modeling (BIM) Algorithms Architecture Energy...