Abstract: Given the limitations of traditional feature coding in capturing multiscale information and precise segmentation, existing deep learning-based change detection (CD) methods often suffer from ...

Abstract: We propose a polar code with CRC-aided successive cancellation list decoder to reduce complexity of SD-FEC decoder. The proposed method suppresses the error ...

ABSTRACT: A new conceptual framework is presented that unifies Gödel’s incompleteness theorems with practical physical modeling through information-theoretic analysis. The method of variables with ...

VLAM (Vision-Language-Action Mamba) is a novel multimodal architecture that combines vision perception, natural language understanding, and robotic action prediction in a unified framework. Built upon ...