Emotional intelligence in large language models (LLMs) is of great importance in Natural
Language Processing. However, the previous research mainly focus on basic sentiment …

The evaluation of the problem-solving capability under incomplete information scenarios of
Large Language Models (LLMs) is increasingly important, encompassing capabilities such …

Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity and mortality
worldwide. Comorbidities in patients with COPD significantly increase morbidity, mortality, …

Proton ceramic fuel cells (PCFCs), as a clean energy technology with broad application
prospects, hold tremendous potential in the field of energy conversion. The development of …

Symmetrical solid oxide fuel cells (SSOFCs) can simplify the manufacturing process,
strengthens coking and sulfur poisoning resistance, enhance the lifetime of SOFCs. This study …

To tackle the challenges of high variability and low accuracy in short-term electricity load
forecasting, this study introduces an enhanced prediction model that addresses overfitting …

New place names and proper nouns in standard address database data are prone to getting
trapped in high-frequency candidate databases, making it difficult to effectively obtain the …

Background Coronavirus disease 2019 (COVID-19) still poses a threat to people’s physical
and mental health. We proposed a new semi-quantitative visual classification method for …

As the power industry rapidly modernizes, the effective management and analysis of time-series
data become increasingly crucial for enhancing operational efficiency. This paper …

Addressing the problems of high randomness and low prediction accuracy in short-term
power load forecasting, this paper proposes a multi-featured short-term power load prediction …