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Showing 20 of 2,365 academic articles

PRICHAIN: A Partially Decentralized Implementation of UbiPri Middleware Using Blockchain

Iago Sestrem Ochôa, Luis Augusto Silva, Gabriel de Mello, Bruno Alves da Silva et al. • Sensors (2019)

With the popularization of the Internet-of-Things, various applications have emerged to make life easier. These applications generate a large amount of user data. Analyzing the data obtained from these applications, one can infer personal i...

DOAJ Open Access (DOAJ) DOI: 10.3390/s19204483

SIMULATION OF INFORMATION SECURITY RISKS OF AVAILABILITY OF PROJECT DOCUMENTS BASED ON FUZZY LOGIC

Oleksii M. Shushura, Liudmyla A. Asieieva, Oleksiy L. Nedashkivskiy, Yevhen V. Havrylko et al. • Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska (2022)

The widespread use of computer technology, its rapid development and use in almost all areas of human activity requires constant updating of information security issues. The activities of many enterprises in the field of IT, construction, a...

DOAJ Open Access (DOAJ) DOI: 10.35784/iapgos.3033

A multi-image steganography: ISS

Shihao Zhang, Yanhui Xiao, Huawei Tian, Xiaolong Li • Cybersecurity (2025)

Abstract Unlike single-image steganography, the scheme of payload distribution on different images plays a pivotal role in the security performance of multi-image steganography. In this paper, a novel multi-image steganography scheme: image...

DOAJ Open Access (DOAJ) DOI: 10.1186/s42400-024-00333-6

Understanding patient perspectives on digital therapeutics and its platform for insomnia: insights from focused group interviews

Jinhyun Kim, Kyung Mee Park, Suonaa Lee, Sooji Park et al. • BMC Health Services Research (2024)

Abstract Background Digital therapeutics (DTx) is a treatment option that uses computer software to provide evidence-based interventions for medical disorders. DTx platforms are digital services that facilitate interactions among stakeholde...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12913-024-11286-4

A study on process information-driven cyber threat detection for I&C systems in NPP

Jae Hwan Kim, Kwang Seop Son, Jae Gu Song, Yong Gu Lee et al. • Nuclear Engineering and Technology (2026)

The increasing digitalization of Instrumentation and Control (I&C) systems in Nuclear Power Plants (NPPs) has improved operational efficiency while introducing cybersecurity vulnerabilities. Conventional network-based intrusion detection sy...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.net.2025.103879

Artificial intelligence in clinical medicine: a state-of-the-art overview of systematic reviews with methodological recommendations for improved reporting

Giovanni Morone, Giovanni Morone, Luigi De Angelis, Luigi De Angelis et al. • Frontiers in Digital Health (2025)

Medicine has become increasingly receptive to the use of artificial intelligence (AI). This overview of systematic reviews (SRs) aims to categorise current evidence about it and identify the current methodological state of the art in the fi...

DOAJ Open Access (DOAJ) DOI: 10.3389/fdgth.2025.1550731

TransKGQA: Enhanced Knowledge Graph Question Answering With Sentence Transformers

You Li Chong, Chin Poo Lee, Shahrin Zen Muhd-Yassin, Kian Ming Lim et al. • IEEE Access (2024)

Knowledge Graph Question Answering (KGQA) plays a crucial role in extracting valuable insights from interconnected information. Existing methods, while commendable, face challenges such as contextual ambiguity and limited adaptability to di...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3405583

Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing

Melissa N. Poulsen, Philip J. Freda, Vanessa Troiani, Anahita Davoudi et al. • Frontiers in Public Health (2022)

BackgroundOpioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of O...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpubh.2022.850619

Bias and Fairness in Natural Language Processing

Kai-Wei Chang, Vinod M. Prabhakaran, Vicente Ordóñez • Conference on Empirical Methods in Natural Language Processing (EMNLP) (2019)

Recent advances in data-driven machine learning techniques (e.g., deep neural networks) have revolutionized many natural language processing applications. These approaches automatically learn how to make decisions based on the statistics an...

OPENALEX

Arabic Natural Language Processing

Nizar Y. Habash (2022)

The Arabic language continues to be the focus of an increasing number of projects in natural language processing (NLP) and computational linguistics (CL).This tutorial provides NLP/CL system developers and researchers (computer scientists a...

OPENALEX cc-by DOI: https://doi.org/10.18653/v1/2022.emnlp-tutorials.2

Natural Language Processing and Semantical Representation of Medical Texts

Robert H Baud, A M Rassinoux, Jean Raoul Scherrer • Methods of Information in Medicine (1992)

For medical records, the challenge for the present decade is Natural Language Processing (NLP) of texts, and the construction of an adequate Knowledge Representation. This article describes the components of an NLP system, which is currentl...

OPENALEX DOI: https://doi.org/10.1055/s-0038-1634865

A bibliometric analysis of natural language processing in medical research

Xieling Chen, Haoran Xie, Fu Lee Wang, Ziqing Liu et al. • BMC Medical Informatics and Decision Making (2018)

BACKGROUND: Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available. It is of great sig...

OPENALEX cc-by DOI: https://doi.org/10.1186/s12911-018-0594-x PMC: 5872501

Natural language processing in an operational clinical information system

C Friedman, George M. Hripcsak, William DuMouchel, Stephen B. Johnson et al. • Natural Language Engineering (1995)

Abstract This paper describes a natural language text extraction system, called MEDLEE, that has been applied to the medical domain. The system extracts, structures, and encodes clinical information from textual patient reports. It was inte...

OPENALEX DOI: https://doi.org/10.1017/s1351324900000061