Showing 20 of 950 academic articles
Mansur Ziiatdinov, Fedor Levkovich-Maslyuk, Emmanuel M. Pothos • Entropy
(2026)
Finding the global minimum of a function with many local extrema is well known to be a challenging computational task. We propose a hybrid quantum–classical algorithm for this optimisation problem, based on a combination of Grover quantum s...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e28101060
Mercedes Gimeno-Segovia, Hugo Cable, Gabriel J Mendoza, Pete Shadbolt et al. • New Journal of Physics
(2017)
Many existing schemes for linear-optical quantum computing (LOQC) depend on multiplexing (MUX), which uses dynamic routing to enable near-deterministic gates and sources to be constructed using heralded, probabilistic primitives. MUXing acc...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/1367-2630/aa7095
Karol Horodecki, Jingfang Zhou, Maciej Stankiewicz, Roberto Salazar et al. • New Journal of Physics
(2023)
Quantum contextuality is one of the most recognized resources in quantum communication and computing scenarios. We provide a new quantifier of this resource, the rank of contextuality (RC). We define RC as the minimum number of non-contextu...
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Open Access (DOAJ)
DOI: 10.1088/1367-2630/acdf78
A M Steane, G Imreh, J P Home, D Leibfried • New Journal of Physics
(2014)
We show how to create quantum gates of arbitrary speed between trapped ions using a laser walking wave, with complete insensitivity to the drift of the optical phase, and requiring cooling only to the Lamb–Dicke regime. We present pulse seq...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/1367-2630/16/5/053049
Fabrizio Altarelli, Alfredo Braunstein, Luca Dall'Asta • PLoS ONE
(2015)
We study a class of games which models the competition among agents to access some service provided by distributed service units and which exhibits congestion and frustration phenomena when service units have limited capacity. We propose a ...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0119286
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...
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Open Access (DOAJ)
DOI: 10.3389/fdgth.2025.1550731
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
Valery Dmitrievich Solovyev, Marina Ivanovna Solnyshkina, Danielle S. McNamara • Russian Journal of Linguistics
(2022)
The dramatic expansion of modern linguistic research and enhanced accuracy of linguistic analysis have become a reality due to the ability of artificial neural networks not only to learn and adapt, but also carry out automate linguistic ana...
DOAJ
Open Access (DOAJ)
DOI: 10.22363/2687-0088-31326
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...
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Open Access (DOAJ)
DOI: 10.3389/fpubh.2022.850619
Qingxia Chen • Discover Artificial Intelligence
(2025)
Abstract This study explores the application of artificial intelligence (AI) in improving the trial efficiency of criminal cases. Using a dataset consisting of 500 criminal case records, including minor, ordinary, and complex cases, we appl...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-025-00353-2
Cansu Colakca, Mehmet Ergın, Habibe Selmin Ozensoy, Alp Sener et al. • Scientific Reports
(2024)
Abstract Erroneous and delayed triage in an increasingly crowded emergency department (ED). ChatGPT is an artificial intelligence model developed by OpenAI® and is being trained for use in natural language processing tasks. Our study aims t...
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Open Access (DOAJ)
DOI: 10.1038/s41598-024-73229-7
Hind Alamro, Takashi Gojobori, Magbubah Essack, Xin Gao • Scientific Reports
(2024)
Abstract The rapid increase in biomedical publications necessitates efficient systems to automatically handle Biomedical Named Entity Recognition (BioNER) tasks in unstructured text. However, accurately detecting biomedical entities is quit...
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Open Access (DOAJ)
DOI: 10.1038/s41598-024-58334-x
Yu Zhang, Lin Zhao, Shiyuan Hu • Scientific Reports
(2025)
Abstract Scientific assessment of cultural ecosystem services (CESs) levels in urban parks and refined analysis of their spatial equity are essential for residents’ social well-being. However, traditional assessment methods often fail to ca...
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Open Access (DOAJ)
DOI: 10.1038/s41598-025-18288-0
Rosana Abdoune, Lydia Lazib, Farida Dahmani-Bouarab, Nada Mimouni • Inteligencia Artificial
(2024)
In this work, we present a disciplinary e-tutoring system that integrates ONTO-TDM, an ontology designed for teaching domain modeling, with advanced transformer technology. Our primary objective is to enhance semantic similarity tasks withi...
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Open Access (DOAJ)
Muhammad Habibi, Adri Priadana, Muhammad Rifqi Ma’arif • IJID (International Journal on Informatics for Development)
(2021)
The World Health Organization (WHO) declared the COVID-19 outbreak has resulted in more than six million confirmed cases and more than 371,000 deaths globally on June 1, 2020. The incident sparked a flood of scientific research to help soci...
DOAJ
Open Access (DOAJ)
DOI: 10.14421/ijid.2021.2400
Tyrone Chen, Anton Y. Peleg, Sonika Tyagi • Scientific Reports
(2025)
Abstract To efficiently and accurately understand, detect, and treat sepsis, we require a deep understanding of how its underlying biological systems work. Conventional methods struggle to provide a detailed view of both the functional and ...
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Open Access (DOAJ)
DOI: 10.1038/s41598-025-16701-2
Ming-I. Chen, Ying-Lin Hsu, Yi-Hsin Chen • Scientific Reports
(2026)
Abstract Automated ICD-10-CM coding is critical for hospital reimbursement under Diagnosis-Related Group (DRG) payment systems, yet standard metrics weight all errors equally. This study evaluated 11 models on MIMIC-IV under heterogeneous c...
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Open Access (DOAJ)
DOI: 10.1038/s41598-026-57682-0
Jia Guo, Guoyuan Zhou, Ke Yan, Yi Di et al. • CAAI Transactions on Intelligence Technology
(2025)
ABSTRACT The challenge of optimising multimodal functions within high‐dimensional domains constitutes a notable difficulty in evolutionary computation research. Addressing this issue, this study introduces the Deep Backtracking Bare‐Bones P...
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Open Access (DOAJ)
DOI: 10.1049/cit2.70028
Vandeventer Faltin, Anne • Linguistik Online
(2003)
This paper illustrates the usefulness of natural language processing (NLP) tools for computer assisted language learning (CALL) through the presentation of three NLP tools integrated within a CALL software for French. These tools are (i) a ...
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Open Access (DOAJ)
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