The building sector is a significant energy consumer, making building energy optimization
crucial for reducing energy demand. Automating energy optimization tasks eases the …

Currently, most applications in the Industrial Internet of Things (IIoT) still rely on CNN-based
neural networks. Although Transformer-based large models (LMs), including language …

The wide-ranging applications of large language models (LLMs), especially in safety-critical
domains, necessitate the proper evaluation of the LLM's adversarial robustness. This paper …

This p aper i nvestigates t he p otential of l arge l anguage models (LLMs) for optimizing
HVAC systems in real-world settings. While prior research has primarily focused on …

Methods from machine learning (ML) have transformed the implementation of Perception-
Cognition-Communication-Action loops in Cyber-Physical Systems (CPS) and the Internet of …

This paper explores how Large Language Models (LLMs) can automate consensus-seeking
in supply chain management (SCM), where frequent decisions on problems such as …

Recent advanced large language models (LLMs) have showcased their emergent capability
of in-context learning, facilitating intelligent decision-making through natural language …

Machine learning and artificial intelligence have recently represented a popular paradigm
for designing and optimizing robotic systems across various scales. Recent studies have …