Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …

The question answering system is frequently applied in the area of natural language
processing (NLP) because of the wide variety of applications. It consists of answering …

Large language models (LLMs) have demonstrated impressive capabilities in natural
language processing. However, their internal mechanisms are still unclear and this lack of …

We develop FinBERT, a state‐of‐the‐art large language model that adapts to the finance
domain. We show that FinBERT incorporates finance knowledge and can better summarize …

As an advanced artificial intelligence technique for solving learning problems, deep learning
(DL) has achieved great success in many real-world applications and attracted increasing …

Natural language processing (NLP) based on deep learning provides a positive
performance for generative dialogue system, and the transformer model is a new boost in …

Sunflower is an important crop that is susceptible to various diseases, which can
significantly impact crop yield and quality. Early and accurate detection of these diseases is …

To foster the development of pedagogically potent and ethically sound AI-integrated
learning landscapes, it is pivotal to critically explore the perceptions and experiences of the …

Cryptocurrencies are in high demand now due to their volatile and untraceable nature.
Bitcoin, Ethereum, and Dogecoin are just a few examples. This research seeks to identify …

To foster the development of pedagogically potent and ethically sound AI-integrated
learning landscapes, it is pivotal to critically explore the perceptions and experiences of the …