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The represents a significant advancement in optimized data modeling for real-time edge computing. This paper details the architecture, compression techniques, and implementation strategies that allow this model to maintain high-fidelity predictive analysis while operating under strict hardware latency constraints. 1. Introduction

This model is particularly suited for environments where Data Acquisition (DAQ) must happen at high frequencies, such as:

For hardware implementation, these models often rely on specialized SDKs like the Alpha Data ADM-XRC SDK to manage FPGA-based acceleration and high-speed data flow.