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A reference framework linking strategic intent, control architecture, operating models, and platform delivery for enterprise intelligence programs.

A governance reference model connecting policy controls, review, escalation, and lifecycle accountability in enterprise AI programs.

A maturity model for operationalizing LLM systems from experimentation to governed, observable, and scalable enterprise operations.

A benchmark-focused publication introducing methodology and evidence pathways for evaluating smart-grid forecasting models using BQEB-Data.

This publication introduces BQEB-Data as an open benchmark dataset supporting autonomous energy intelligence and smart-grid analytics research.

This report presents a federated graph learning approach for intrusion detection and adaptive cyber defense in V2X vehicular systems.

This technical report proposes a wearable IoT and edge AI framework for non-invasive health monitoring through gastrointestinal gas-based biomarkers.

A real-time ICU monitoring architecture using IoT and edge AI to support patient risk prediction and operational responsiveness.

A white paper outlining an AI-augmented enterprise system for knowledge organization, institutional memory, and cognitive productivity.

An AI-augmented cognitive framework for incident intelligence that connects IT operations telemetry, contextual reasoning, and observability-led action pathways.

This work introduces an explainable federated AI approach for multi-omics disease risk prediction, balancing collaborative learning with interpretability requirements in life science settings.