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Gaurav Kumar Gupta, Aditi Singh, Sijo Valayakkad Manikandan and Abul Ehtesham
This study aimed to evaluate the potential of Large Language Models (LLMs) in healthcare diagnostics, specifically their ability to analyze symptom-based prompts and provide accurate diagnoses. The study focused on models including GPT-4, GPT-4o, Gemini,...
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Vincenzo Manca
This paper presents an agile method of logical semantics based on high-order Predicate Logic. An operator of predicate abstraction is introduced that provides a simple mechanism for logical aggregation of predicates and for logical typing. Monadic high-o...
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Lucas Lopes Oliveira, Xiaorui Jiang, Aryalakshmi Nellippillipathil Babu, Poonam Karajagi and Alireza Daneshkhah
Early identification of acute gout is crucial, enabling healthcare professionals to implement targeted interventions for rapid pain relief and preventing disease progression, ensuring improved long-term joint function. In this study, we comprehensively e...
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Hao Li, Rongzheng Yang, Shuangshuang Xu, Yao Xiao and Hongyu Zhao
In the construction industry, the professional evaluation of construction schemes represents a crucial link in ensuring the safety, quality and economic efficiency of the construction process. However, due to the large number and diversity of constructio...
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Pietro Dell?Oglio, Alessandro Bondielli and Francesco Marcelloni
Today, most newspapers utilize social media to disseminate news. On the one hand, this results in an overload of related articles for social media users. On the other hand, since social media tends to form echo chambers around their users, different opin...
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Sakib Shahriar, Noora Al Roken and Imran Zualkernan
The automatic classification of poems into various categories, such as by author or era, is an interesting problem. However, most current work categorizing Arabic poems into eras or emotions has utilized traditional feature engineering and machine learni...
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Giorgio Maria Di Nunzio and Riccardo Minzoni
A survey published by Nature in 2016 revealed that more than 70% of researchers failed in their attempt to reproduce another researcher?s experiments, and over 50% failed to reproduce one of their own experiments; a state of affairs that has been termed ...
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Amrutha K, Prabu P and Ramesh Chandra Poonia
Sign language is a natural, structured, and complete form of communication to exchange information. Non-verbal communicators, also referred to as hearing impaired and hard of hearing (HI&HH), consider sign language an elemental mode of communication ...
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Diogo A. P. Nunes, Joana Ferreira-Gomes, Fani Neto and David Martins de Matos
Reported experiences of chronic pain may convey qualities relevant to the exploration of this private and subjective experience. We propose this exploration by means of the Reddit Reports of Chronic Pain (RRCP) dataset. We define and validate the RRCP fo...
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Pawel Gryka and Artur Janicki
Many customers rely on online reviews to make an informed decision about purchasing products and services. Unfortunately, fake reviews, which can mislead customers, are increasingly common. Therefore, there is a growing need for effective methods of dete...
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Ali Saleh Alammary
Bidirectional Encoder Representations from Transformers (BERT) has gained increasing attention from researchers and practitioners as it has proven to be an invaluable technique in natural languages processing. This is mainly due to its unique features, i...
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Dan Claudiu Neagu, Andrei Bogdan Rus, Mihai Grec, Mihai Augustin Boroianu, Nicolae Bogdan and Attila Gal
With the increased popularity of social media platforms such as Twitter or Facebook, sentiment analysis (SA) over the microblogging content becomes of crucial importance. The literature reports good results for well-resourced languages such as English, S...
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Paul Meddeb, Stefan Ruseti, Mihai Dascalu, Simina-Maria Terian and Sebastien Travadel
The unprecedented scale of disinformation on the Internet for more than a decade represents a serious challenge for democratic societies. When this process is focused on a well-established subject such as climate change, it can subvert measures and polic...
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Binbin Shi, Lijuan Zhang, Jie Huang, Huilin Zheng, Jian Wan and Lei Zhang
Text data augmentation is essential in the field of medicine for the tasks of natural language processing (NLP). However, most of the traditional text data augmentation focuses on the English datasets, and there is little research on the Chinese datasets...
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Purushottam Sharma, Devesh Tulsian, Chaman Verma, Pratibha Sharma and Nancy Nancy
Language plays a vital role in the communication of ideas, thoughts, and information to others. Hearing-impaired people also understand our thoughts using a language known as sign language. Every country has a different sign language which is based on th...
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Tahani Alqurashi
Arabic dialect identification (ADI) has recently drawn considerable interest among researchers in language recognition and natural language processing fields. This study investigated the use of a character-level model that is effectively unrestricted in ...
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Fadi H. Hazboun, Majdi Owda and Amani Yousef Owda
Structured Query Language (SQL) is commonly used in Relational Database Management Systems (RDBMS) and is currently one of the most popular data definition and manipulation languages. Its core functionality is implemented, with only some minor variations...
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Sergii Telenyk, Sergiy Pogorilyy and Artem Kramov
The designed models of the coherence evaluation of Polish texts may be utilized during the discrimination of human-written and machine-generated texts in order to detect fake documents. Moreover, these models can be applied in a medicine area in order to...
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Juan Cruz-Benito, Sanjay Vishwakarma, Francisco Martin-Fernandez and Ismael Faro
In recent years, the use of deep learning in language models has gained much attention. Some research projects claim that they can generate text that can be interpreted as human writing, enabling new possibilities in many application areas. Among the dif...
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Edwin Aldana-Bobadilla, Alejandro Molina-Villegas, Yuridia Montelongo-Padilla, Ivan Lopez-Arevalo and Oscar S. Sordia
Creating effective mechanisms to detect misogyny online automatically represents significant scientific and technological challenges. The complexity of recognizing misogyny through computer models lies in the fact that it is a subtle type of violence, it...
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