AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A dynamic time-series agent (DTAgent), a large-small model collaborative framework that enables scenario understanding and scheduling via an LLM, and achieves detection through a series of dynamic expert small models is proposed.
Industrial time-series signals, such as turbine temperature and rotational speed in aero-engines, are essential for monitoring the health and operational status of complex dynamical systems. However, collecting such data is often limited by harsh environments (e.g., high temperature and high pressure) and the high cost...
This work proposes VLT, a multimodal foundation model that jointly models time-series, frequency-spectrum visual representations, and textual knowledge, and demonstrates that VLT outperforms state-of-the-art methods, achieving superior robustness and generalization under few-shot, noisy, and incomplete-modality setting...
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