Showing 20 of 379 academic articles
B. Machielse, S. Bogdanovic, S. Meesala, S. Gauthier et al. • Physical Review X
(2019)
Photon-mediated coupling between distant matter qubits may enable secure communication over long distances, the implementation of distributed quantum computing schemes, and the exploration of new regimes of many-body quantum dynamics. Solid...
DOAJ
Open Access (DOAJ)
DOI: 10.1103/PhysRevX.9.031022
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
K. C. Chen, W. Dai, C. Errando-Herranz, S. Lloyd et al. • PRX Quantum
(2021)
A quantum random access memory (qRAM) is considered an essential computing unit to enable polynomial speedups in quantum information processing. Proposed implementations include the use of neutral atoms and superconducting circuits to const...
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Open Access (DOAJ)
DOI: 10.1103/PRXQuantum.2.030319
Akash Kundu, Leopoldo Sarra • Communications Physics
(2026)
Abstract Quantum computing offers exciting opportunities for simulating complex quantum systems and optimizing large-scale combinatorial problems, but its practical use is limited by device noise and constrained connectivity. Designing quan...
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Open Access (DOAJ)
DOI: 10.1038/s42005-025-02475-6
Ehsan Elahi, Jorge Morato, Ana Iglesias • Applied Sciences
(2024)
With the increasing integration of multimedia elements into webpages, videos have emerged as a popular medium for enhancing user engagement and knowledge retention. However, irrelevant or poorly placed videos can hinder readability and dist...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app142311055
Michał Wawer, Jarosław A. Chudziak, Ewa Niewiadomska-Szynkiewicz • Applied Sciences
(2024)
Traditional technical analysis methods face limitations in accurately predicting trends in today’s complex financial markets. Meanwhile, existing AI-driven approaches, while powerful in processing large datasets, often lack interpretability...
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Open Access (DOAJ)
DOI: 10.3390/app142411897
Baolong Li • Journal of Applied Science and Engineering
(2025)
Bilingual parallel corpora is a very important basic resource in the research field of natural language processing based on statistics. There are cross alignment and empty alignment in Chinese-English bilingual text, it is easy to affect th...
DOAJ
Open Access (DOAJ)
DOI: 10.6180/jase.202510_28(10).0005
Miao Jiang, Honghui Chen • Applied Sciences
(2025)
Chinese named entity recognition (NER) is a fundamental natural language processing (NLP) task that involves identifying and categorizing entities in text. It plays a crucial role in applications such as information extraction, machine tran...
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Open Access (DOAJ)
DOI: 10.3390/app15052521
Hankiz Yilahun, Hangtian Zhao, Askar Hamdulla • Applied Sciences
(2025)
Few-shot relation extraction (RE) is a critical task in natural language processing (NLP), yet benchmark datasets for non-English languages, particularly Chinese, remain scarce. Owing to their narrow focus and insufficient coverage of relat...
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Open Access (DOAJ)
DOI: 10.3390/app15031045
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
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
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
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...
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Open Access (DOAJ)
DOI: 10.3390/app15137491
Łukasz Dębowski • Entropy
(2021)
We present a hypothetical argument against finite-state processes in statistical language modeling that is based on semantics rather than syntax. In this theoretical model, we suppose that the semantic properties of texts in a natural langu...
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Open Access (DOAJ)
DOI: 10.3390/e23091148
Ahmed Mohamed, Mohamed M. Ahmed • Applied Sciences
(2025)
Over the past decade, researchers have advanced traffic monitoring using surveillance cameras, unmanned aerial vehicles (UAVs), loop detectors, LiDAR, microwave sensors, and sensor fusion. These technologies effectively detect and track veh...
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Open Access (DOAJ)
DOI: 10.3390/app151910413
Mikail Kırğıl, Suleyman Gokhan Taskin, Ali Ercetin • Applied Sciences
(2026)
Burr formation during drilling of aluminum alloys can compromise hole quality and assembly accuracy, increasing the need for secondary deburring operations. The time-consuming and operator-dependent nature of manual visual inspection create...
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Open Access (DOAJ)
DOI: 10.3390/app162010012
Ching-Hsun Tseng, Shin-Jye Lee, Jianan Feng, Shengzhong Mao et al. • Entropy
(2022)
With the successful development in computer vision, building a deep convolutional neural network (CNNs) has been mainstream, considering the character of shared parameters in a convolutional layer. Stacking convolutional layers into a deep ...
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Open Access (DOAJ)
DOI: 10.3390/e24091243
Direselign Addis Tadesse, Chuan-Ming Liu, Van-Dai Ta • Applied Sciences
(2020)
Reading text and unified text detection and recognition from natural images are the most challenging applications in computer vision and document analysis. Previously proposed end-to-end scene text reading methods do not consider the freque...
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Open Access (DOAJ)
DOI: 10.3390/app10134474
Xia Zhang, Danning Xu, Ni Zhang • Applied Sciences
(2022)
With the rapid rise of social media, the photo-taking behavior of tourists and their uploaded photos provide a new perspective to explore landscape visual characters. In this study, we provide methodological advancements for assessing lands...
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Open Access (DOAJ)
DOI: 10.3390/app12168346
Congcong Zhang, Jin Tian, Lihua Gong, Yujin Zhang et al. • Applied Sciences
(2026)
Video prediction is a fundamental task in computer vision with broad applications in intelligent robotics, autonomous driving, and related fields. However, existing methods often struggle to simultaneously model long-term temporal dependenc...
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Open Access (DOAJ)
DOI: 10.3390/app16094423