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Academic Articles & Research Papers
Showing 20 of 423 academic articles
Dolf J. Gielen, Francisco Boshell, Değer Saygin, Morgan Bazilian et al. • Energy Strategy Reviews
(2019)
This paper explores the technical and economic characteristics of an accelerated energy transition to 2050, using new datasets for renewable energy. The analysis indicates that energy efficiency and renewable energy technologies are the cor...
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DOI: https://doi.org/10.1016/j.esr.2019.01.006
Hashim Hussain, Shailendra Mishra, Reem Alshenaifi • PLoS ONE
(2026)
Healthcare IoT systems increasingly rely on interconnected, resource-constrained devices that are vulnerable to both classical and emerging quantum-enabled cyber threats, but introduced heightened cybersecurity risks, particularly from emer...
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Open Access (DOAJ)
DOI: 10.1371/journal.pone.0348600
Haiyan Yang, Ming Sun, Shuangji Lin, Yanhong Guo et al. • PLoS ONE
(2017)
Soil salinization is becoming a limitation to the utilization of ornamental plants worldwide. Crossostephium chinensis (Linnaeus) Makino is often cultivated along the southeast coast of China for its desirable ornamental qualities and high ...
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Open Access (DOAJ)
DOI: 10.1371/journal.pone.0187124
Yuze Huang, Jiwei Huang, Bo Cheng, Shuqing He et al. • Sensors
(2017)
With the rapid development of the Internet of things (IoT), building IoT systems with high quality of service (QoS) has become an urgent requirement in both academia and industry. During the procedures of building IoT systems, QoS-aware ser...
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Open Access (DOAJ)
DOI: 10.3390/s17050974
Mostafa Raeisi, Abu B. Sesay • IEEE Access
(2022)
In this paper, we propose a new distance metric for the K-means clustering algorithm. Applying this metric in clustering a dataset, forms unequal clusters. This metric leads to a larger size for a cluster with a centroid away from the origi...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3198992
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...
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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...
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Open Access (DOAJ)
DOI: 10.54216/JCHCI.100201
Brendan Bertone, Paul Wagner, Joshua Pauli • Journal of Cybersecurity Education, Research & Practice
(2025)
The cybersecurity profession continues to face a significant shortfall of qualified professionals despite steady growth in degree programs. Employers consistently cite experience as the main barrier for entry-level cybersecurity hires. This...
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Open Access (DOAJ)
DOI: 10.62915/2472-2707.1254
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...
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Open Access (DOAJ)
DOI: 10.3390/forecast7020031
Aditya Kuppa, Nhien‐An Le‐Khac • IEEE Transactions on Information Forensics and Security
(2021)
Machine Learning methods are playing a vital role in combating ever-evolving threats in the cybersecurity domain. Explanation methods that shed light on the decision process of black-box classifiers are one of the biggest drivers in the suc...
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DOI: https://doi.org/10.1109/tifs.2021.3117075
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...
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Open Access (DOAJ)
DOI: 10.3390/drones9010046
Димитра Пантели, Keyrellous Adib, Stefan Buttigieg, Francisco Goiana-da-Silva et al. • The Lancet Public Health
(2025)
Artificial intelligence (AI) can rapidly analyse large and complex datasets, extract tailored recommendations, support decision making, and improve the efficiency of many tasks that involve the processing of data, text, or images. As such, ...
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DOI: https://doi.org/10.1016/s2468-2667(25)00036-2
PMC: 12040707
Patrick Reiser, Marlen Neubert, André Eberhard, Luca Torresi et al. • Communications Materials
(2022)
Machine learning plays an increasingly important role in many areas of chemistry and materials science, being used to predict materials properties, accelerate simulations, design new structures, and predict synthesis routes of new materials...
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DOI: https://doi.org/10.1038/s43246-022-00315-6
PMC: 9702700
Kenneth S. Tramm, Jason T. Minter, Catherine A. Seaton • Vadose Zone Journal
(2024)
Abstract Risk‐based corrective action (RBCA) programs employ conservative models to develop default values for soil screening, which simplify the risk assessment process. However, for several naturally occurring metals (e.g., arsenic and le...
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Open Access (DOAJ)
DOI: 10.1002/vzj2.20294
Qingle Guo, Junping Zhang, Chongxiao Zhong, Ye Zhang • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(2021)
With the increase in the availability of multitemporal hyperspectral images (HSIs), HSIs change detection (CD) methods, including pixel-level and subpixel-level based methods, have attracted great attention in recent years. However, the wid...
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Open Access (DOAJ)
DOI: 10.1109/JSTARS.2021.3074538
Jaehyun Lee, Jinho Kim, Woong Ko • Applied Sciences
(2019)
Electric load forecasting for buildings is important as it assists building managers or system operators to plan energy usage and strategize accordingly. Recent increases in the adoption of advanced metering infrastructure (AMI) have made b...
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Open Access (DOAJ)
DOI: 10.3390/app9061231
Jinyoung Moon, Yongseok Mun • BMC Medical Research Methodology
(2025)
Abstract Background The US National Health and Nutrition Examination Survey (NHANES) dataset does not include a specific question or laboratory test to confirm a history of cancer diagnosis. However, if straightforward variables for cancer ...
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Open Access (DOAJ)
DOI: 10.1186/s12874-025-02478-5
Kyosuke Nagura, Satoko Watanabe, Taro Watanabe, Taro Watanabe et al. • Frontiers in Pharmacology
(2026)
IntroductionOveractive bladder (OAB) drugs are widely prescribed, yet the occurrence of atrial fibrillation (AF) after treatment initiation remains poorly characterized.MethodsWe evaluated reports of AF associated with OAB medications using...
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Open Access (DOAJ)
DOI: 10.3389/fphar.2025.1700587
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...
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Open Access (DOAJ)
DOI: 10.1109/JSTARS.2023.3339235
Bing Li, Jiangtao Dong, Xile Wang, Yuqi Hou et al. • IEEE Access
(2025)
To investigate the impact of cross-grained sentiments on user feature representation and address the issue of data sparsity, this paper proposes a Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interact...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3530431