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Academic Articles & Research Papers
Showing 20 of 188 academic articles
Federica Cuna, Maria Bossa, Fabio Gargano, Mario Nicola Mazziotta • Particles
(2025)
The application of advanced Artificial Intelligence (AI) techniques in astroparticle experiments represents a major advancement in both data analysis and experimental design. As space missions become increasingly complex, integrating AI too...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/particles8040099
Abdalkarim Awad • IEEE Access
(2026)
Single-shot dispersive readout of superconducting qubits is a very important part of real-time quantum feedback and quantum error correction (QEC). Conventional discriminators such as thresholding and matched filtering are optimal under Gau...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3722871
Assaf Katz, Shalom Bloch, Eliahu Cohen • Entropy
(2025)
Pseudo-entropy is a complex-valued generalization of entanglement entropy defined on non-Hermitian transition operators and induced by post-selection. We present a simulation-based protocol for detecting nonclassicality and coherent errors ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e27111165
Jozef Gruska • Wiley eBooks
(1999)
Quantum Computation (S. Braunstein). The Los Alamos Trapped Ion Quantum Computer Experiment (R. Hughes, et al.). Experimental Primer on the Trapped Ion Quantum Computer (D. Weineland, et al.). Measurement and State Preparation via Ion Trap ...
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DOI: https://doi.org/10.1002/3527603093
Andrew M. Steane • Reports on Progress in Physics
(1998)
The subject of quantum computing brings together ideas from classical information theory, computer science, and quantum physics. This review aims to summarize not just quantum computing, but the whole subject of quantum information theory. ...
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Open Access
DOI: https://doi.org/10.1088/0034-4885/61/2/002
Dongyan Chen, Yonglong Yu, Long Xu, Xiaohui Liu • Discrete Dynamics in Nature and Society
(2015)
This paper is concerned with the optimal Kalman filtering problem for a class of discrete stochastic systems with multiplicative noises and random two-step sensor delays. Three Bernoulli distributed random variables with known conditional p...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2015/809734
Engineer Bainomugisha, Joel Ssematimba, Deo Okure • Atmosphere
(2023)
With rapid urbanization, hazardous environmental exposures such as air, noise, plastic, soil and water pollution have emerged as a major threat to urban health. Recent studies show that 9 out of 10 people worldwide breathe contaminated air ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/atmos14020354
ZHOU Yong, PENG Shuai, ZHOU Chao • Chengshi guidao jiaotong yanjiu
(2025)
[Objective] To achieve cost efficiency and low-carbon transformation in rail transit, the planning, design, and implementation of green and low-carbon urban rail transit systems is investigated. [Method] Aiming at life-cycle sustainable dev...
DOAJ
Open Access (DOAJ)
DOI: 10.16037/j.1007-869x.20231000
Hao Yi, Bo Liu, Bin Zhao, Enhai Liu • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(2024)
Due to the limitations of small targets in remote sensing images, such as background noise, poor information, and so on, the results of commonly used detection algorithms in small target detection is not satisfactory. To improve the accurac...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/JSTARS.2023.3339235
Nicholas E. Protonotarios, George A. Kastis, Andreas D. Fotopoulos, Andreas G. Tzakos et al. • Mathematics
(2022)
The effective resolution of positron emission tomography (PET) can be significantly degraded by patient motion during data acquisition. This is especially true in the thorax due to respiratory motion. This study concentrates on the improvem...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math11010055
Carlos A. Macía M, Hernán D. Sepúlveda D • Revista Facultad Nacional de Salud Pública
(2011)
Objective: the authors propose a new methodology for estimating sound absorption coefficients using genetic algorithms. Methodology: sound waves are generated and conducted along a rectangular silencer. The waves are then attenuated by the ...
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Open Access (DOAJ)
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s42005-025-02475-6
Xinyuan An, Sihao Zhao, Xiaowei Cui, Qin Shi et al. • Sensors
(2020)
Radio-based positioning systems are typically utilized to provide high-precision position information for automatic-guided vehicles (AGVs). However, the presence of obstacles in harsh environments, as well as carried cargoes on the AGV, wil...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s20041155
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
Yuxi Wang, Yue Wang, Sha Han • Discover Artificial Intelligence
(2026)
Abstract The secondary virtual circuits in smart substations enable digital and networked information exchange between devices. However, their extensive logical connections, complex structure, and implicit interdependencies pose significant...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-02248-2
Dejun Zhang, Mingbo Hong, Lu Zou, Fei Han et al. • International Journal of Computational Intelligence Systems
Recurrent neural network (RNN) is one of the most popular architectures for addressing variable sequence text, and it shows outstanding results in many natural language processing (NLP) tasks and remarkable performance in capturing long-ter...
DOAJ
Open Access (DOAJ)
DOI: 10.2991/ijcis.d.190710.001
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...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e27040392
Sebastian Ruder • Arrow@dit (Dublin Institute of Technology)
(2019)
The current generation of neural network-based natural language processing models excels at learning from large amounts of labelled data. Given these capabilities, natural language processing is increasingly applied to new tasks, new domain...
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Open Access
DOI: https://doi.org/10.13025/17598
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
Ke Yan, Derek Hoiem, Rahul Sukthankar • IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
(2005)
We describe how certain tasks in the audio domain can be effectively addressed using computer vision approaches. This paper focuses on the problem of music identification, where the goal is to reliably identify a song given a few seconds of...
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DOI: https://doi.org/10.1109/cvpr.2005.105