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Academic Articles & Research Papers
Showing 20 of 817 academic articles
Kai Wang, Dong-Sheng Wang • New Journal of Physics
(2023)
Quantum simulation is one of the central discipline to demonstrate the power of quantum computing. In recent years, the theoretical framework of quantum superchannels has been developed and applied widely as the extension of quantum channel...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/1367-2630/acc5aa
YU Zhichao, LI Yangzhong, LIU Lei, FENG Shengzhong • Jisuanji gongcheng
(2022)
Through superposition and entanglement, a quantum computing displays significant advantages over classical computers in dealing with problems that require large-scale parallel processing capabilities.At present, a physical quantum computer ...
DOAJ
Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0061787
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
Irina Rish, M. Brodie, S. Ma, N.N. Odintsova et al. • IEEE Transactions on Neural Networks
(2005)
Real-time problem diagnosis in large distributed computer systems and networks is a challenging task that requires fast and accurate inferences from potentially huge data volumes. In this paper, we propose a cost-efficient, adaptive diagnos...
OPENALEX
DOI: https://doi.org/10.1109/tnn.2005.853423
Anjana M S, Aryadevi Remanidevi Devidas, Maneesha Vinodini Ramesh • IEEE Access
(2025)
Electrical energy plays a pivotal role in modern society by powering homes, industries, and transportation systems. However, the production of electricity is associated with significant carbon emissions, primarily from fossil fuel-based pow...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3539333
Akhilesh M Wodeyar, Sherin James, Benjamin B. Kasten, Nicolaus D. Knight et al. • Scientific Reports
(2026)
Abstract Achieving negative surgical margins remains a critical determinant of local recurrence and survival in head and neck cancer (HNC) surgery. Current intraoperative margin assessment techniques, including frozen section analysis, suff...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-56078-4
Sajad Mazaheri, Maryam Ashoori, Zeynab Bechari • پیاورد سلامت
(2017)
Background and Aim: Nowadays heart disease is very common and is a major cause of mortality. Proper and early diagnosis of this disease is very important. Diagnostic methods and treatments of the disease are so expensive and have many side ...
DOAJ
Open Access (DOAJ)
Inbal Becker-Reshef, Belen Franch, Brian Barker, Emilie Murphy et al. • Remote Sensing
(2018)
Monitoring and forecasting crop yields is a critical component of understanding and better addressing global food security challenges. Detailed spatial information on crop-type distribution is fundamental for in-season crop condition monito...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs10101659
Ao Sun, Qiuzhao Zhang, Zhangjun Yu, Xiaolin Meng et al. • Remote Sensing
(2022)
The accuracy and integrity of structural deformation monitoring can be improved by the GNSS/accelerometer integrated system, and gross error detection is the key to further improving the reliability of GNSS/accelerometer monitoring. Traditi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs14194758
Lucas Santos, Carlos Brito, Iure Fe, Juliana Carvalho et al. • IEEE Access
(2024)
The domain of information security is undergoing significant evolution to address the increasingly complex challenges aimed at bolstering system resilience against attacks. The Moving Target Defense (MTD) methodology, which entails altering...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3393998
Fanjie Meng • Kuwait Journal of Science
(2026)
Sports injuries significantly affect sports performance and overall health, making using accurate and reliable prognostic models imperative. Conventional algorithms for injury prediction, e.g., random forest and XGBoost, generally cannot un...
DOAJ
Open Access (DOAJ)
DOI: https://doi.org/10.1016/j.kjs.2026.100589
Xinyu Wang, Jiqiang Zhai, Hailu Yang • Scientific Reports
(2024)
Abstract Web command injection attacks pose significant security threats to web applications, leading to potential server information leakage or severe server disruption. Traditional detection methods struggle with the increasing complexity...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-024-74350-3
Santhiyakumari N., Sabarinathan S., Veerakumar S., Chandraman M. et al. • Journal of Cognitive Human-Computer Interaction
(2025)
The rapid proliferation of edge computing in smart cities has enhanced real-time data processing capabilities, but it has also exposed critical vulnerabilities to sophisticated cyber threats such as zero-day attacks. Traditional signature-b...
DOAJ
Open Access (DOAJ)
DOI: 10.54216/JCHCI.100201
Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro • Forecasting
(2025)
Financial fraud detection is a critical application area within the broader domains of cybersecurity and intelligent financial analytics. With the growing volume and complexity of digital transactions, the traditional rule-based and shallow...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/forecast7020031
Jiabao Zhang, Jianhua Wang, Yuhong Li, Zhuangzhuang Zhang et al. • Cybersecurity
(2026)
Abstract Backdoor attacks pose a serious threat to Internet-of-Things (IoT) federated learning. In IoT deployments, pronounced non-independent and identically distributed (non-IID) data heterogeneity causes benign client updates to exhibit ...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s42400-026-00625-z
Bimal Ghimire, Danda B. Rawat • IEEE Internet of Things Journal
(2022)
Decentralized paradigm in the field of cybersecurity and machine learning (ML) for the emerging Internet of Things (IoT) has gained a lot of attention from the government, academia, and industries in recent years. Federated cybersecurity (F...
OPENALEX
DOI: https://doi.org/10.1109/jiot.2022.3150363
Pijush Kanti Dutta Pramanik, Bijoy Kumar Upadhyaya, Ajay Kushwaha, Debashish Bhowmik • Energy and AI
(2026)
Modern power grids are becoming more distributed and data-intensive, while centralized, cloud-based analytics struggle to keep pace. Routing everything through a central system introduces delays, strains network capacity, complicates compli...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.egyai.2026.100925
Yao Zhang, Fan Lin, Ke Wang • Energies
(2020)
The accuracy of wind power forecasting depends a great deal on the data quality, which is so susceptible to cybersecurity attacks. In this paper, we study the cybersecurity issue of short-term wind power forecasting. We present one class of...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/en13153780
Mohammad Aldossary, Ibrahim Alzamil, Jaber Almutairi • Drones
(2025)
Due to Internet of Drones (IoD) technology, drone networks have proliferated, transforming surveillance, logistics, and disaster management. Distributed Denial of Service (DDoS) attacks, malware infections, and communication abnormalities i...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/drones9010046
Michael M.H. Yang, MD, MSc, MBiotech, Jay Riva-Cambrin, MD, MSc, Jonathan Cunningham, MD, MSc, Steven Casha, MD, PhD • North American Spine Society Journal
(2023)
Background: Approximately 30% to 64% of patients experience inadequate pain control following spine surgery. The Calgary postoperative pain after spine surgery (CAPPS) score was developed to identify this subset of patients. The impact of p...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.xnsj.2023.100261