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Luca Onnis and Michael J. Spivey
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Edisa Lozic and Benjamin ?tular
Historically, mastery of writing was deemed essential to human progress. However, recent advances in generative AI have marked an inflection point in this narrative, including for scientific writing. This article provides a comprehensive analysis of the ...
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Andrey Bogdanchikov, Dauren Ayazbayev and Iraklis Varlamis
The rapid development of natural language processing and deep learning techniques has boosted the performance of related algorithms in several linguistic and text mining tasks. Consequently, applications such as opinion mining, fake news detection or doc...
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Min-Hsien Weng, Shaoqun Wu and Mark Dyer
With the rapidly growing number of scientific publications, researchers face an increasing challenge of discovering the current research topics and methodologies in a scientific domain. This paper describes an unsupervised topic detection approach that u...
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Maria Cláudia Cabrini Grácio,Ely Francina Tannuri de Oliveira,Dietmar Wolfram
This paper aims to carry out a diachronic analysis of Brazilian scientific productivity in the Library and Information Science field as indexed by the Scopus database for the period 1986-2015. We also analyze the main journals that publish Brazilian cont...
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Marie-Therese Charlotte Evans, Majid Latifi, Mominul Ahsan and Julfikar Haider
Keyword extraction from Knowledge Bases underpins the definition of relevancy in Digital Library search systems. However, it is the pertinent task of Joint Relation Extraction, which populates the Knowledge Bases from which results are retrieved. Recent ...
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Camila Monteiro de Barros,Lígia Maria Arruda Café,Edna Lucia Silva
Reflexão a respeito da complexidade da CI em seu caráter social na mediação para o acesso à informação. Discute a produção do conhecimento nas interações sociais, sua legitimação, institucionalização e a constituição das disciplinas científicas. Aborda a...
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Héctor Andrés Melgar Sasieta, Fabiano Duarte Beppler, Roberto Carlos do Santos Pacheco (Author)
Pág. 381 - 389
This paper presents a model that aims to facilitate the visualization of the knowledge stored in digital repositories using visual archetypes. Archetypes are structures that contain visual representations of the real world that are known a priori by the ...
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Diana Bratic, Marko ?apina, Denis Jurecic and Jana ?iljak Gr?ic
This paper addresses the challenges associated with the centralized storage of educational materials in the context of a fragmented and disparate database. In response to the increasing demands of modern education, efficient and accessible retrieval of m...
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Weiying Wang and Toshihiro Osaragi
The generation and prediction of daily human mobility patterns have raised significant interest in many scientific disciplines. Using various data sources, previous studies have examined several deep learning frameworks, such as the RNN and GAN, to synth...
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Jacqueline Köhler, Luciano Hidalgo and José Luis Jara
For a lot of beginners, learning to program is challenging; similarly, for teachers, it is difficult to draw on students? prior knowledge to help the process because it is not quite obvious which abilities are significant for developing programming skill...
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Vasile-Adrian Surdu and Romuald Gyorgy
X-ray diffraction (XRD) is a proven, powerful technique for determining the phase composition, structure, and microstructural features of crystalline materials. The use of machine learning (ML) techniques applied to crystalline materials research has inc...
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Luis-Gil Moreno-Jiménez, Juan-Manuel Torres-Moreno and Roseli Suzi. Wedemann
In this paper, we describe a model for the automatic generation of literary sentences in French. Although there has been much recent effort directed towards automatic text generation in general, the generation of creative, literary sentences that is not ...
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Alexandros Z. Spyropoulos, Charalampos Bratsas, Georgios C. Makris, Emmanouel Garoufallou and Vassilis Tsiantos
Nowadays, more and more sciences are involved in strengthening the work of law enforcement authorities. Scientific documentation is evidence highly respected by the courts in administering justice. As the involvement of science in solving crimes increase...
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Georgios Trichopoulos, Markos Konstantakis, George Caridakis, Akrivi Katifori and Myrto Koukouli
This paper introduces a groundbreaking approach to enriching the museum experience using ChatGPT4, a state-of-the-art language model by OpenAI. By developing a museum guide powered by ChatGPT4, we aimed to address the challenges visitors face in navigati...
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Hao-Wen Cheng
Artificial Intelligence (AI) has emerged as a transformative technology in the scientific community with the potential to accelerate and enhance research in various fields. ChatGPT, a popular language model, is one such AI-based system that is increasing...
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Murad Huseynli, Udo Bub and Michael Chima Ogbuachi
This paper outlines the path towards a method focusing on a process model for the integrated engineering of Digital Innovation (DI) and Design Science Research (DSR). The use of the DSR methodology allows for achieving both scientific rigor and practical...
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Robert Maier
Pág. 75 - 81
The article discusses the problem of automating the procedure for assessing the semantic complexity of "ordinary" words and scientific concepts, which is necessary to determine the educational text complexity. The complexity of the concept P relative to ...
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Kun Meng, Chunyi Cui, Haijiang Li and Hailong Liu
The traditional way of designing energy pile system is mostly single domain/objective oriented, which lacks of means to coherently consider different while relevant factors across domains. The cost for life cycle design, construction and maintenance, ret...
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Adrian Milakovic, Drazen Draskovic and Bosko Nikolic
Machine learning (ML) has become an increasingly popular choice of scientific research for many students due to its application in various fields. However, students often have difficulty starting with machine learning concepts due to too much focus on pr...
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