"\u200b\"A Unified Information Flow Architecture for Cross-Platform Deployment: Redefining Biological Signal Processing via Hardware-Ag"

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Authors: quan shui
Cited by: 0

Abstract

"This paper presents a revolutionary information-centric framework, DeathScanner V10 Ultimate, designed to decouple the essence of biological existence from physical hardware through advanced signal processing and high-parallel computing. Unlike traditional hypothesis-driven methodologies, our approach utilizes a \"Sherlockian Logic\" of exhaustive exclusion to isolate anomalous information patterns within living systems. The system architecture leverages multi-modal signal fusion, asynchronous parallel worker pools, and a hardware-agnostic middleware layer, enabling seamless deployment across diverse environments ranging from aerospace platforms to embedded edge devices. By integrating PCA-based vectorization, non-negative matrix factorization (NMF), and isolation forest-based residual analysis, we demonstrate a robust pipeline for quantifying latent biological variables. Experimental results suggest that by treating life as a universal information stream, we can bypass cognitive biases and unlock new frontiers in post-modern computational biology and system engineering"

Fields of Study & Subjects

Advanced Computational Techniques in Science and Engineering Wireless Sensor Networks for Data Analysis Scientific Computing and Data Management

Publication details

Journal / source
IEEE DataPort
Publication date
10 January 2026
Document type
Dataset