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Academic Articles & Research Papers
Showing 20 of 896 academic articles
Zhonglin Tang, Yihui Zhao, Min Fu, Yuting Wang et al. • Ecological Indicators
(2023)
To better serve the public, urban attractions must understand the public's likes and dislikes and continually adapt and optimize their service in response. However, traditional methods for gauging public opinion, such as questionnaires and ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.ecolind.2023.110541
Michael A. Chary, Saumil Parikh, Alex F. Manini, Edward W. Boyer et al. • Western Journal of Emergency Medicine
(2018)
Natural language processing (NLP) aims to program machines to interpret human language as humans do. It could quantify aspects of medical education that were previously amenable only to qualitative methods. The application of NLP to medical...
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DOI: https://doi.org/10.5811/westjem.2018.11.39725
PMC: 6324711
Zabir Al Nazi, Wei Peng • Informatics
(2024)
The deployment of large language models (LLMs) within the healthcare sector has sparked both enthusiasm and apprehension. These models exhibit the remarkable ability to provide proficient responses to free-text queries, demonstrating a nuan...
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Open Access (DOAJ)
DOI: 10.3390/informatics11030057
Jiaqi Fu, Chaixiu Li, Chunlan Zhou, Wenji Li et al. • Journal of Medical Internet Research
(2023)
BackgroundGiven the rapid development of social media, effective extraction and analysis of the contents of social media for health care have attracted widespread attention from health care providers. As far as we know, most of the reviews ...
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Open Access (DOAJ)
DOI: 10.2196/43349
Yuxi Wang, Yue Wang, Sha Han • Discover Artificial Intelligence
(2026)
Abstract The secondary virtual circuits in smart substations enable digital and networked information exchange between devices. However, their extensive logical connections, complex structure, and implicit interdependencies pose significant...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-02248-2
• Amsterdam studies in the theory and history of linguistic science. Series 4, Current issues in linguistic theory
(2000)
This volume brings together revised versions of a selection of papers presented at the Second International Conference on “Recent Advances in Natural Language Processing” (RANLP’97) held in Tzigov Chark, Bulgaria, September 1997. The aim of...
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DOI: https://doi.org/10.1075/cilt.189
Joseph A. Mellia, Marten N. Basta, Yoshiko Toyoda, Sammy Othman et al. • Annals of Surgery
(2020)
OBJECTIVE: The aim of this study was to systematically assess the application and potential benefits of natural language processing (NLP) in surgical outcomes research. SUMMARY BACKGROUND DATA: Widespread implementation of electronic health...
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DOI: https://doi.org/10.1097/sla.0000000000004419
Pramod Kumar Singh • Apress eBooks
(2018)
This chapter uncovers some of the basic techniques to tackle text data using PySpark. Today's textual form of data is being generated at a lightning pace with multiple social media platforms offering users the options to share their opinion...
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DOI: https://doi.org/10.1007/978-1-4842-4131-8_9
Muhammad Shoaib Farooq, Syed Muhammad Asadullah Gilani, Muhammad Faraz Manzoor, Momina Shaheen • Information
(2025)
Fake news is false or misleading information that looks like real news and spreads through traditional and social media. It has a big impact on our social lives, especially in politics. In Pakistan, where Urdu is the main language, finding ...
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Open Access (DOAJ)
DOI: 10.3390/info16070595
Ma Lina • Discover Artificial Intelligence
(2025)
Abstract The current evaluation of English teaching quality in colleges and universities faces the problems of information uncertainty and fuzziness. Traditional evaluation methods cannot accurately reflect the complex teaching effects, mai...
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Open Access (DOAJ)
DOI: 10.1007/s44163-025-00481-9
Xinhui Liu, Jifa Chen, Qiubo Huang • Applied Sciences
(2025)
With the explosion of information, the amount of text data has increased significantly, making text categorization a central area of research in natural language processing (NLP). Traditional machine learning methods are effective, but deep...
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Open Access (DOAJ)
DOI: 10.3390/app15084236
Alexander F. Gelbukh • International Conference on Hybrid Intelligent Systems (HIS)
(2005)
Summary form only given. Natural language processing (NLP) is a major area of artificial intelligence research, which in its turn serves as a field of application and interaction of a number of other traditional AI areas. Until recently, th...
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DOI: https://doi.org/10.1109/ichis.2005.79
Rada F. Mihalcea, Dragomir Radev • Cambridge University Press eBooks
(2011)
Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different p...
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DOI: https://doi.org/10.1017/cbo9780511976247
Antonio Di Marino, Vincenzo Bevilacqua, Emanuel Di Nardo, Angelo Ciaramella et al. • Discover Artificial Intelligence
(2026)
Abstract Full-reference image quality assessment metrics such as PSNR and SSIM misalign with human perceptual judgments on texture and shape distortions, a limitation documented across multiple benchmarks. Deep perceptual metrics such as LP...
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Open Access (DOAJ)
DOI: 10.1007/s44163-026-02424-4
Yucheng He, Zhen Deng, Jianwei Zhang • CAAI Transactions on Intelligence Technology
(2021)
Abstract In traditional nasal surgery, surgeons are prone to fatigue and jitter by holding the endoscope for a long‐time. Some complex operations require assistant surgeon to assist with holding the endoscope. To address the above problems,...
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Open Access (DOAJ)
DOI: 10.1049/cit2.12022
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
CHEN Ao, LI Chen, YAN Jiayun, PENG Liantie et al. • Kongzhi Yu Xinxi Jishu
(2024)
Standardization is one of the key steps to analyze locomotive overhaul data with a focus on reliability-centered maintenance (RCM). However, traditional manual methods encounter challenges such as small sample sizes, non-standardized data f...
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Open Access (DOAJ)
Lorenzo Devilla, Nicla Mercurio • Linguistik Online
(2026)
Since the early twenty-first century, ecological, economic, and geopolitical crises have intensified challenges related to food systems, reshaping dietary practices and individual relationships with the environment. Sustainable food consump...
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Open Access (DOAJ)
DOI: 10.13092/csznaa09
Kai Wang, Kunjian Wen, Yanping Chen, Yongbin Qin • Scientific Reports
(2025)
Abstract Mapping a sentence into a two-dimensional (2D) representation can flatten nested semantic structures and build multi-granular span dependencies in named entity recognition. Existing approaches to recognizing named entities often cl...
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Open Access (DOAJ)
DOI: 10.1038/s41598-025-87722-0
Peihua Ma, Si Chen, Wenfan Su, Jiping Sheng et al. • Journal of Agriculture and Food Research
(2025)
This study explores the application of GPT models for automating consumer food survey analysis, focusing on Chinese consumers' acceptance of plant-based foods, cultured meat, insect-based proteins, and microbial proteins. Traditional survey...
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Open Access (DOAJ)
DOI: 10.1016/j.jafr.2025.102086