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Academic Articles & Research Papers
Showing 20 of 689 academic articles
Aziliz Le Glaz, Yannis Haralambous, Deok-Hee Kim-Dufor, Philippe Lenca et al. • Journal of Medical Internet Research
(2020)
BACKGROUND: Machine learning systems are part of the field of artificial intelligence that automatically learn models from data to make better decisions. Natural language processing (NLP), by using corpora and learning approaches, provides ...
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DOI: https://doi.org/10.2196/15708
PMC: 8132982
Mehdi Yekrangi, Nikola S. Nikolov • IEEE Access
(2023)
Although different studies are caried out by deep learning models for financial markets sentiment analysis, there is a lack of specific embedding method that regards the domain. Therefore, the goal of this study is to discover what type of ...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3293733
Aysenur Arpaci, Asel Usdat Ozturk, Ismail Okur, Sanaz Sadry • BMC Oral Health
(2025)
Abstract Background The field of artificial intelligence (AI) has experienced considerable growth in recent years, with the advent of technologies that are transforming a range of industries, including healthcare and dentistry. Large langua...
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Open Access (DOAJ)
DOI: 10.1186/s12903-025-06624-9
Karolina Stańczak, Isabelle Augenstein • arXiv (Cornell University)
(2021)
Language can be used as a means of reproducing and enforcing harmful stereotypes and biases and has been analysed as such in numerous research. In this paper, we present a survey of 304 papers on gender bias in natural language processing. ...
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Open Access
DOI: https://doi.org/10.48550/arxiv.2112.14168
Yuming Wang, Stephen M Croucher, Stephen M Croucher, Erika Pearson • Frontiers in Communication
(2021)
Twitter is a powerful tool for world leaders to disseminate public health information and to reach citizens. While Twitter, like other platforms, affords world leaders the opportunity to rapidly present information to citizens, the discours...
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Open Access (DOAJ)
DOI: 10.3389/fcomm.2021.732399
Lei Zhang, Yiru Huang, Leiming Yan, Jinghao Ge et al. • Advanced Intelligent Systems
(2024)
Making computers automatically extract latent scientific knowledge from literature is highly desired for future materials and chemical research in the artificial intelligence era. Herein, the natural language processing (NLP)‐based machine ...
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Open Access (DOAJ)
DOI: 10.1002/aisy.202300678
Durrer, Sylvie • Linguistik Online
(2002)
Les problématiques rassemblées parfois sous la désignation de "Language and Gender" figurent également dans les publications du linguiste suisse Charles Bally. Cet axe de réflexion, qui na guère été remarqué dans son uvre, mérite dêtre m...
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Open Access (DOAJ)
Maria Frasca, Davide La Torre, Gabriella Pravettoni, Ilaria Cutica • Discover Artificial Intelligence
(2024)
Abstract This review aims to explore the growing impact of machine learning and deep learning algorithms in the medical field, with a specific focus on the critical issues of explainability and interpretability associated with black-box alg...
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Open Access (DOAJ)
DOI: 10.1007/s44163-024-00114-7
Miloš Bogdanović, Milena Frtunić Gligorijević, Jelena Kocić, Leonid Stoimenov • Applied Sciences
(2025)
Various areas of natural language processing (NLP) have greatly benefited from the development of large language models in recent years. This research addresses the challenge of developing efficient tokenizers for transformer-based domain-s...
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Open Access (DOAJ)
DOI: 10.3390/app15137491
Hang Li • National Science Review
(2017)
Deep learning refers to machine learning technologies for learning and utilizing ‘deep’ artificial neural networks, such as deep neural networks (DNN), convolutional neural networks (CNN) and recurrent neural networks (RNN). Recently, deep ...
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DOI: https://doi.org/10.1093/nsr/nwx110
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen et al. • arXiv (Cornell University)
(2011)
We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including: part-of-speech tagging, chunking, named entity recognition, and semantic role labeling. This...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1103.0398
Shahzeb Ansari, Haiping Du, Fazel Naghdy, Ayaz Ahmed Hoshu et al. • Safety
(2024)
Driver mental fatigue is considered a major factor affecting driver behavior that may result in fatal accidents. Several approaches are addressed in the literature to detect fatigue behavior in a timely manner through either physiological o...
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Open Access (DOAJ)
DOI: 10.3390/safety10010009
Maedeh Zebardast, Maryam Danaye Tous • Caspian Journal of Neurological Sciences
(2018)
Background: Various factors influence the natural processing of words. The present study sought to investigate the effect of the regularity variable on the reading of words.
Objectives: The participants in the study were 50 normal and 5 aph...
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Open Access (DOAJ)
Ahmed Mohamed, Mohamed M. Ahmed • Applied Sciences
(2025)
Over the past decade, researchers have advanced traffic monitoring using surveillance cameras, unmanned aerial vehicles (UAVs), loop detectors, LiDAR, microwave sensors, and sensor fusion. These technologies effectively detect and track veh...
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Open Access (DOAJ)
DOI: 10.3390/app151910413
Eduardo D. Piedad Jr., Ricky B. Villeta • Recoletos Multidisciplinary Research Journal
(2016)
Using a camera for measurement reading is simplified through the incorporation of computer vision application. The variations in the environment’s setting, however, may constitute to the occurrence of measurement errors. A study investigate...
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Open Access (DOAJ)
DOI: https://doi.org/10.32871/rmrj1604.01.06
A Gruen and T S Huang • Measurement Science and Technology
(2002)
One of my greatest hates is the edited book with chapters from a number of different authors, some of which have evidently been written in haste against the final deadline, and most of which show marked divergence of content, opinion, notat...
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DOI: https://doi.org/10.1088/0957-0233/13/2/707
Jayasingam Adhuran, Gosala Kulupana, Anil Fernando • IEEE Access
(2022)
The rapid development of virtual reality applications continues to urge better compression of 360° videos owing to the large volume of content. These videos are typically converted to 2-D formats using various projection techniques i...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3219861
Chrisantus Eze, Christopher Crick • IEEE Access
(2025)
Robot learning of manipulation skills is hindered by the scarcity of diverse, unbiased datasets. While curated datasets can help, challenges remain regarding generalizability and real-world transfer. Meanwhile, large-scale ‘in-the-wi...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3624723
S. Zlatanova, G. Sithole, M. Nakagawa, Q. Zhu • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2013)
Research in support of indoor mapping and modelling (IMM) has been active for over thirty years. This research has come in the
form of As-Built surveys, Data structuring, Visualisation techniques, Navigation models and so forth. Much of thi...
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Open Access (DOAJ)
DOI: 10.5194/isprsarchives-XL-4-W4-63-2013
Xia Zhang, Danning Xu, Ni Zhang • Applied Sciences
(2022)
With the rapid rise of social media, the photo-taking behavior of tourists and their uploaded photos provide a new perspective to explore landscape visual characters. In this study, we provide methodological advancements for assessing lands...
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Open Access (DOAJ)
DOI: 10.3390/app12168346