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Academic Articles & Research Papers
Showing 20 of 2,514 academic articles
Susilowati, Aprizal, Dyah Indriana Kusumastuti • Discover Artificial Intelligence
(2026)
Abstract This study introduces an ensemble machine learning (EML) framework to enhance short-duration rainfall-intensity prediction under limited-data conditions. By integrating multiple base learners within a stacking architecture, the pro...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-01772-5
Rashmi Patel, Miguel E Rentería, Soon Nan Wee, Rajagopalan Ramaswamy et al. • BMJ Open
(2022)
Purpose NeuroBlu is a real-world data (RWD) repository that contains deidentified electronic health record (EHR) data from US mental healthcare providers operating the MindLinc EHR system. NeuroBlu enables users to perform statistical analy...
DOAJ
Open Access (DOAJ)
DOI: 10.1136/bmjopen-2021-057227
Sumaya Mustafa, Mariwan Hama Saeed • Journal of Electrical Systems and Information Technology
(2025)
Abstract Artificial intelligence (AI) models have demonstrated significant success in classifying various types of text. However, the complex nature of these models often complicates the interpretability of their classifications. To address...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s43067-025-00273-2
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...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/informatics11030057
Ivan S. Blekanov, Nikita Tarasov, Svetlana S. Bodrunova • Future Internet
(2022)
Abstractive summarization is a technique that allows for extracting condensed meanings from long texts, with a variety of potential practical applications. Nonetheless, today’s abstractive summarization research is limited to testing the mo...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/fi14030069
Yasha Hasija, Rajkumar Chakraborty • CRC Press eBooks
(2021)
Natural language processing is a fast-evolving field with popular applications in language translation, speech recognition, text classification, and summarization of text, among others. The central aspect of NLP is vectorizing text data. Te...
OPENALEX
DOI: https://doi.org/10.1201/9781003090113-15-15
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 ...
DOAJ
Open Access (DOAJ)
DOI: 10.2196/43349
Hamood ALshalabi, Sabrina Tiun, Nazlia Omar, Kamal Ali Alezabi et al. • International Journal of Information Science and Management
(2022)
Other languages have influenced Arabic because of several factors, such as geographical nearness, trade communication, past Islamic conquests, science and technology, new devices, brand names, models, and fashion. As a result of these facto...
DOAJ
Open Access (DOAJ)
Ramteja Sajja, Yusuf Sermet, Ibrahim Demir • Discover Education
(2026)
Abstract Recent advances in AI have catalyzed the adoption of intelligent educational tools, yet many semantic retrieval systems remain ill-suited to the unique linguistic and structural characteristics of academic content. This study prese...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44217-026-01825-y
David C. Yen, William S. Davis • CRC Press eBooks
(2019)
This chapter introduces key natural language processing concepts and terminology. The ultimate objective of natural language processing is to allow people to communicate with computers in much the same way they communicate with each other. ...
OPENALEX
DOI: https://doi.org/10.1201/9781420049107-68
Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi, Chenliang Li • ACM Transactions on Intelligent Systems and Technology
(2020)
With the development of high computational devices, deep neural networks (DNNs), in recent years, have gained significant popularity in many Artificial Intelligence (AI) applications. However, previous efforts have shown that DNNs are vulne...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3374217
• 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...
OPENALEX
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...
OPENALEX
DOI: https://doi.org/10.1097/sla.0000000000004419
Terry Patten, Paul S. Jacobs • IEEE Expert
(1994)
Processing natural language such as English has always been one of the central research issues of artificial intelligence, both because of the key role language plays in human intelligence and because of the wealth of potential applications...
OPENALEX
DOI: https://doi.org/10.1109/64.295134
Yue Kang, Zhao Cai, Chee‐Wee Tan, Qian Huang et al. • Journal of Management Analytics
(2020)
Natural language processing (NLP) is gaining momentum in management research for its ability to automatically analyze and comprehend human language. Yet, despite its extensive application in management research, there is neither a comprehen...
OPENALEX
Open Access
DOI: https://doi.org/10.1080/23270012.2020.1756939
Oleksandr Tymoshchuk • Інформаційні технології і засоби навчання
(2025)
The expansion of nuclear technologies in various industries, combined with the constant threat of radiation-related incidents, highlights the urgent need for effective radiation education. This study is devoted to an empirical investigation...
DOAJ
Open Access (DOAJ)
DOI: 10.33407/itlt.v105i1.5905
Vinit Mehta, Charu Sharma, Karthick Thiyagarajan • Sensors
(2025)
With the rapid advancement of artificial intelligence and robotics, the integration of Large Language Models (LLMs) with 3D vision is emerging as a transformative approach to enhancing robotic sensing technologies. This convergence enables ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s25206394
Wazir Ali, Jay Kumar, Zenglin Xu, Rajesh Kumar et al. • Applied Sciences
(2021)
Named entity recognition (NER) is a fundamental task in many natural language processing (NLP) applications, such as text summarization and semantic information retrieval. Recently, deep neural networks (NNs) with the attention mechanism yi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app11199038
Pratikkumar Chauhan, Munindra Lunagaria, Deepak Kumar Verma, Krunal Vaghela et al. • IEEE Access
(2024)
Classification of brain tumour is critical in medical image analysis and diagnosis as it aids in determining the affinity of cases to select treatment paths. This feature underscores the importance of accurate classification of brain tumour...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3460380
C Friedman, George M. Hripcsak • Academic Medicine
(1999)
If accurate clinical information were available electronically, automated applications could be developed to use this information to improve patient care and lower costs. However, to be fully retrievable, clinical information must be struct...
OPENALEX
DOI: https://doi.org/10.1097/00001888-199908000-00012