Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Abstract: The effectiveness of dimension reduction analysis for high-dimensional process data is crucial to ensure industrial safety. Manifold learning methods can be advanced by considering both ...
Abstract: This paper introduces a unified message-passing framework for two-way cell-free relaying networks, achieving paradigm-level integration of uplink data detection and downlink resource ...