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 …

Abstract Recently, Deep Learning (DL) models have shown promising accuracy in analysis
of medical images. Alzeheimer Disease (AD), a prevalent form of dementia, uses Magnetic …

In recent years, computer science has advanced exponentially, hel** 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 optimization of information transmission in unmanned aerial vehicles (UAVs) is
essential for enhancing their operational efficiency across various applications. This issue is …

This paper presents a novel architecture for predicting the next word in bilingual Punjabi-
English (BPE) social media texts. The goal is to enhance the performance and accuracy of …

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