With the increasing reliance on software in modern automobiles, traditional diagnostic tools that only read and clear fault codes are no longer enough. Today’s technicians and experienced car owners ...

Abstract: We propose and experimentally demonstrate a novel bi-directional gate recurrent unit based demodulator for Visible Light Communication system, achieving improved BER performance with 35% ...

Abstract: Traditional machine learning-based Wi-Fi fingerprinting localization relies on pre-collected radio maps of the environment, which requires a large dataset for training. However, it is ...

Large vision-language models (VLMs) often benefit from intermediate visual cues, either injected via external tools or generated as latent visual tokens during reasoning, but these mechanisms still ...

Bi-Mem: Bidirectional Construction of Hierarchical Memory for Personalized LLMs via Inductive-Reflective Agents Bi-Mem is an advanced, hierarchy memory framework designed to enhance Large Language ...