IEEE

A Big Data Framework for Scalable and Cross-Dataset Capable Machine Learning in Network Intrusion Detection Systems

Abstract: Network Intrusion Detection Systems (NIDS) are widely used to secure modern networks, but deploying accurate and scalable Machine Learning (ML)-based detection in high-speed environments ...
IEEE

Framework and Function Design of Machine Learning Platform for Power Generation Process

Abstract: With the transformation of China’s energy structure, the control requirements for the power generation process are becoming increasingly precise and intelligent. Applying machine learning ...
Scientific Research Publishing

De-Risking Returns: How AI Can Reinvent Big Tech’s China-Tied Reverse Supply Chains ()

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
CIO

Cognitive data architecture: Designing self-optimizing frameworks for scalable AI systems

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...