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Showing 20 of 2,701 academic articles
Shima Javanmardi, Ali Mohammad Latif, Mohammad Taghi Sadeghi, Mehrdad Jahanbanifard et al. • Sensors
(2022)
In image captioning models, the main challenge in describing an image is identifying all the objects by precisely considering the relationships between the objects and producing various captions. Over the past few years, many methods have b...
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Open Access (DOAJ)
DOI: 10.3390/s22218376
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...
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Open Access (DOAJ)
DOI: 10.1007/s44163-026-01772-5
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
Maryam Salami, Zahra Sadat Jalali, Maryam Pakdaman Naeini, Mohammad Alaei Arani • مدیریت اطلاعات سلامت
(2015)
Introduction: Content analysis applied for comparing texts, a writer’s works with others or the same author, the texts written in a natural language with texts in other languages literature and review of specialized field. The present study...
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Open Access (DOAJ)
Per Runeson, Magnus Alexandersson, Oskar Nyholm • ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
(2007)
Defect reports are generated from various testing and development activities in software engineering. Sometimes two reports are submitted that describe the same problem, leading to duplicate reports. These reports are mostly written in stru...
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DOI: https://doi.org/10.1109/icse.2007.32
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...
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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...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3460380
M. Chandhana Surabhi • International Conference on Optical Imaging Sensor and Security (ICOSS)
(2013)
Natural Language Processing is a technique where machine can become more human and thereby reducing the distance between human being and the machine can be reduced. Therefore in simple sense NLP makes human to communicate with the machine e...
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DOI: https://doi.org/10.1109/icoiss.2013.6678407
Alexander Clark, Chris Fox, Shalom Lappin (2010)
The Handbook of Computational Linguistics and Natural Language Processing provides a comprehensive overview of the concepts, methodologies, and applications being undertaken today in computational linguistics and natural language processing...
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LIU Yao, QIN Xun, LIU Tianji • Jisuanji kexue
(2024)
To address the issue of re-analyzing and repeating development of natural language processing tools and resource ana-lysis plugins when new requirements arise during project development,this paper proposes a business-oriented on-demand reso...
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Open Access (DOAJ)
DOI: 10.11896/jsjkx.230800191
Jiang Du, Qiang Wei, Yisen Wang, Xingyu Bai • Entropy
(2025)
Recent advances in graph neural networks have transformed structural pattern learning in domains ranging from social network analysis to biomolecular modeling. Nevertheless, practical deployments in mission-critical scenarios such as binary...
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Open Access (DOAJ)
DOI: 10.3390/e27040392
Ye Wang, Yaling Deng, Ge Wang, Tong Li et al. • Computers in Human Behavior: Artificial Humans
(2025)
Modern Large Language Models (LLMs) exhibit complexity and granularity similar to humans in the field of natural language processing, challenging the boundaries between humans and machines in language understanding and creativity. However, ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.chbah.2024.100103
(2019)
The study of the way native human dialects and computer systems interact is known as natural language processing.Cognitive languages require the use of NLP, which has connections to artificial intelligence and computer engineering.In artifi...
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Open Access
DOI: https://doi.org/10.46632/rmc/1/1/014
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 ...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/aisy.202300678
Sanaa Kaddoura, Ganesh Chandrasekaran, Daniela Elena Popescu, Jude Hemanth Duraisamy • PeerJ Computer Science
(2022)
The presence of spam content in social media is tremendously increasing, and therefore the detection of spam has become vital. The spam contents increase as people extensively use social media, i.e., Facebook, Twitter, YouTube, and E-mail. ...
DOAJ
Open Access (DOAJ)
DOI: 10.7717/peerj-cs.830
Charaf Ouaddi, Lamya Benaddi, Adnane Souha, Hamza Abdelmalek et al. • IEEE Access
(2025)
Conversational agents are intelligent, ubiquitous software applications widely used across various sectors, such as commerce, tourism, and more. Their key benefits include automating tasks, improving customer service, and ensuring service a...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3574641
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...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15137491
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,...
DOAJ
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