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The development of artificial intelligence (AI) technology, especially large language models like ChatGPT, presents challenges related to the authenticity and validity of digital content. AI's ability to produce human-li...

O objetivo deste trabalho é mostrar que o desenvolvimento de formalismos gramaticais de base lexicalista está diretamente relacionado às exigências do PLN. Léxicos estruturados e o formalismo gramatical são centrai...

Abstract Precise extraction of medical phenotypes and entities from electronic health record (EHR) text is vital for numerous clinical research tasks, including cohort classification, tracking temporal patterns in diseas...

"En los últimos años, las redes sociales se han convertido en un canal frecuente para que los ciudadanos expresen sus reclamos y comentarios sobre problemáticas cotidianas. Sin embargo, para la Municipalidad de San Is...

Natural language means a language that is used for communication by human. Natural Language Processing (NLP) helps machines to understand the natural language. The natural language for the web pages consists of many sema...

This study applies the K-Nearest Neighbor (K-NN) algorithm to classify customer sentiments from online reviews about Ngeboel Vapestore, a local MSME in the vape industry. A total of 175 reviews from Google Review and Ins...

Abstract This paper seeks to investigate the use of Natural Language Processing techniques in analyzing the Bhagavad Gita, a fundamental text in Hindu philosophy that has stood the test of time and centuries of interpret...

This study proposes and validates a conceptual framework using a sign language (SL) chatbot in the e-commerce domain to improve accessibility. Currently, the use of SL is a less-explored area in online platforms. It is d...

Abstract Effort estimation remains a persistent challenge in agile software development, particularly at the user story level where iterative delivery is emphasized. Inaccurate estimations can result in misallocated reso...

Artificial intelligence systems increasingly interpret human communication in high-stakes settings such as mental health, legal reasoning, and cybersecurity contexts. Yet current large language models often produce fluen...

Abstract This research proposes an innovative Arabic financial forecasting model that integrates linguistic relation extraction with advanced deep learning and machine learning techniques. The framework combines Arabic O...

Large language models (LLMs) have demonstrated encouraging performance for medical natural language processing (NLP) tasks, approaching human-equivalent performance in some of the standard benchmarks, positioning them as...

Abstract Background Systemic inflammation and nutritional status are increasingly recognized as prognostic determinants in glioblastoma (GBM). The CRP–albumin–lymphocyte (CALLY) index integrates inflammatory and immu...

Information campaigns increasingly use LLMs to generate persuasive competing narratives around federal research agency press releases. Prior work largely centers on post hoc assessment, emphasizing detectability, charact...

Local people in Ternate, North Maluku, often use local languages to communicate on social media. This poses a challenge for newcomers to understand the implied meaning and emotions of the messages conveyed through social...

Ferromagnetic semiconductor chromium sulfide (Cr2S3), as a member of transition metal chalcogenide (TMC), exhibits the narrow bandgap value of 0.45 eV theoretically and has been applied in photoelectric field. However, ...

Due to the impact of crude oil prices on refinery revenues, the petroleum industry has switched to processing lowcost crude oils. They are blended with high-quality crude oils to feed the crude distillation units (CDUs) ...

This paper presents a prototype man–machine dialogue system specifically designed for Arabic, addressing the growing need for voice-based interaction in under-resourced linguistic contexts. Arabic poses particular chal...

This study investigates an AC-driven rotating arc plasma reactor for ammonia decomposition using pure NH₃ at 10 NLPM. Nitrogen and N₂/H₂ (1:3 vol%) mixtures were employed as reference gases to elucidate the intrin...

This work addresses the optimal design of a flexible heat exchanger network using model-based optimization, applied to hydrogen production by means of an ethanol steam reforming process. High efficiencies are obtained at...

In a complex information environment, Russia’s invasion of Ukraine presents a major challenge to the communication of political leaders throughout the world. The objective of this article is to analyse the frames and s...

Both, a global isothermal temperature model and a nonlinear quadratic temperature model of the ISA was developed and presented here. Constrained optimization techniques in conjunction with the least-square-root approxima...

This paper addresses the growing need for implementing intelligent Natural Language Processing (NLP) systems on low-power, memory-limited devices such as Raspberry Pi, mobile phones, and IoT edge hardware. As edge comput...

The relevance of this study is driven by the growing need to integrate innovative digital tools, particularly artificial intelligence (AI)-based chatbots, into the educational process to enhance language learning efficie...