In natural language processing, short-text semantic similarity (STSS) is a very prominent
field. It has a significant impact on a broad range of applications, such as question …

Climate change and urbanization have increased the frequency of floods worldwide,
resulting in substantial casualties and property loss. Accurate flood forecasting can offer …

In recent years, computer science has advanced exponentially, helping significantly to
identify and classify text extracted from social networks, specifically Twitter. This work …

“The identification, classification and treatment of crop plant diseases are essential for
agricultural production. Some of the most common diseases include root rot, powdery …

In this exploratory study, we delved deeply into the intricate interplay of color choices within
AI‐generated and human‐designed posters, analyzing a sample of 120 instances from each …

In the context of linguistic science and the integration of the mathematical paradigm into
humanitarian discourse, the analysis and processing of natural language (in particular …

The identification, classification and treatment of crop plant diseases are essential for
agricultural production. Some of the most common diseases include root rot, powdery …

Abstract The field of Human-Robot Interaction (HRI) has garnered significant attention in
recent years, with researchers and practitioners seeking to understand the psychological …

Identifying and classifying text extracted from social networks, following the traditional
method, is very complex. In recent years, computer science has advanced exponentially …

Large Language Models (LLM) have gained huge popularity recently due to their problem-
solving capability in multiple domains. Technically LLMs can be considered a critical mixture …