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Academic Articles & Research Papers
Showing 20 of 100 academic articles
Muhammad Afaq Hussain, Zhanlong Chen, Biswajeet Pradhan, Sansar Raj Meena et al. • Journal of Hydrology: Regional Studies
(2025)
Study region: The National Highways 85 and 50, key routes of the China–Pakistan Economic Corridor (CPEC) in Balochistan, Pakistan. Study focus: Flooding is a natural disaster that is becoming increasingly frequent and severe. The National H...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.ejrh.2025.102718
Sabina-Cristiana Necula • Behavioral Sciences
(2023)
In this study, we aim to investigate the influence of the time spent reading product information on consumer behavior in e-commerce. Given the rapid growth of e-commerce and the increasing importance of understanding online consumer behavio...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/bs13060439
Jose Fernando Rodrigues Junior, Larisa Florea, Maria Cristina Ferreira de Oliveira, Dermot Diamond et al. • Discover Materials
(2021)
Herein, we review aspects of leading-edge research and innovation in materials science that exploit big data and machine learning (ML), two computer science concepts that combine to yield computational intelligence. ML can accelerate the so...
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DOI: https://doi.org/10.1007/s43939-021-00012-0
PMC: 8054236
Deyu Jiang, Miao Luo, Changxi Liu, Yashuo Zhang et al. • Virtual and Physical Prototyping
(2025)
In this study, a Ti1.5Nb1Ta0.5Zr1Mo0.5 (TNTZM) high-entropy alloy was fabricated using laser powder bed fusion (LPBF). By integrating 63 sets of parameter trials with machine learning (ML) models, an optimised process window was identified,...
DOAJ
Open Access (DOAJ)
DOI: 10.1080/17452759.2025.2524524
Mahbub Ul Islam Khan, Md. Ilius Hasan Pathan, Mohammad Mominur Rahman, Md. Maidul Islam et al. • IEEE Access
(2024)
Electric vehicles (EVs) are commonly recognized as environmentally friendly modes of transportation. They function by converting electrical energy into mechanical energy using different types of motors, which aligns with the sustainable pri...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3400913
Qi Wu, Zhaopeng Xu, Yixiao Zhu, Yikun Zhang et al. • Photonics
(2023)
Driven by emerging technologies such as the Internet of Things, 4K/8K video applications, virtual reality, and the metaverse, global internet protocol traffic has experienced an explosive growth in recent years. The surge in traffic imposes...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/photonics10091001
Jamieson D Gray, Lukasz S Wylezinski, Charles F Spurlock • BMJ Health & Care Informatics
(2026)
Objectives To develop and evaluate a machine learning (ML) model that predicts Crohn’s disease (CD) patients responsible for the top quartile of healthcare spending.Methods De-identified commercial claims (2016–2018) from ~267 000 continuou...
DOAJ
Open Access (DOAJ)
DOI: 10.1136/bmjhci-2025-101761
Ye Kuang, Yan Yu, Jing Li, Chuanmei Peng et al. • BMC Medical Informatics and Decision Making
(2026)
Abstract Background Diabetes mellitus (DM) combined with coronary heart disease (CHD) significantly increases the risk of cardiovascular events with a greater mortality rate. Therefore, establishing a predictive model can help DM patients r...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12911-026-03461-w
Zahra Amiri, Arash Heidari, Nima Jafari Navimipour, Mansour Esmaeilpour et al. • Neural Computing and Applications
(2024)
Abstract Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for ...
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DOI: https://doi.org/10.1007/s00521-023-09366-3
M. Vinod, B. S. Nithyananda, Shrishail B. Sollapur, Satish Gajbhiv et al. • Scientific Reports
(2026)
Abstract This work examined the role of alkaline and epoxy-based surface chemical treatments on the mechanical and thermal properties of flax fiber reinforced Aluminum Alloy 6082 hybrid Fiber Metal Laminates (FMLs), integrated with machine ...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-58852-w
Gustavo A. Mesías-Ruiz, Gustavo A. Mesías-Ruiz, María Pérez-Ortiz, José Dorado et al. • Frontiers in Plant Science
(2023)
Crop protection is a key activity for the sustainability and feasibility of agriculture in a current context of climate change, which is causing the destabilization of agricultural practices and an increase in the incidence of current or in...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fpls.2023.1143326
Anup Basnet Chetry, Keisuke Ohto • Journal of Cheminformatics
(2025)
Abstract Chemoinformatics is a rapidly advancing field that integrates chemistry, computer science, and data analysis to enhance the study and application of chemical systems. This interdisciplinary approach leverages computational tools an...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13321-025-00978-6
Stefano Mangini, Francesco Tacchino, Dario Gerace, Daniele Bajoni et al. • Europhysics Letters (EPL)
(2021)
Abstract Neural networks are computing models that have been leading progress in Machine Learning (ML) and Artificial Intelligence (AI) applications. In parallel, the first small-scale quantum computing devices have become available in rece...
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Open Access
DOI: https://doi.org/10.1209/0295-5075/134/10002
Yang Xin, Lingshuang Kong, Zhi Liu, Yuling Chen et al. • IEEE Access
(2018)
With the development of the Internet, cyber-attacks are changing rapidly and the cyber security situation is not optimistic. This survey report describes key literature surveys on machine learning (ML) and deep learning (DL) methods for net...
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Open Access
DOI: https://doi.org/10.1109/access.2018.2836950
Akhil John Mampilly, Vijaya Kittu Manda, Chithirai Pon Selvan • Advances in information security, privacy, and ethics book series
(2024)
Blockchain is a promising technology that can help organizations improve their cybersecurity. Blockchain has many inherent features that can help enhance data security, improve threat detection and response, strengthen authentication and au...
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DOI: https://doi.org/10.4018/979-8-3693-9225-6.ch003
Feixue Yan, Sheng Wen, Surya Nepal, Cécile L. Paris et al. • International Journal of Intelligent Systems
(2022)
Machine learning (ML) techniques are increasingly important in cybersecurity, as they can quickly analyse and identify different types of threats from millions of events. In spite of the increasing number of possible applications of ML, suc...
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DOI: https://doi.org/10.1002/int.23088
Dipankar Dasgupta, Zahid Akhtar, Sajib Sen • The Journal of Defense Modeling and Simulation Applications Methodology Technology
(2020)
Today’s world is highly network interconnected owing to the pervasiveness of small personal devices (e.g., smartphones) as well as large computing devices or services (e.g., cloud computing or online banking), and thereby each passing minut...
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DOI: https://doi.org/10.1177/1548512920951275
Fabien Charmet, Harry Chandra Tanuwidjaja, Solayman Ayoubi, Pierre-François Gimenez et al. • Annals of Telecommunications
(2022)
Abstract With the extensive application of deep learning (DL) algorithms in recent years, e.g., for detecting Android malware or vulnerable source code, artificial intelligence (AI) and machine learning (ML) are increasingly becoming essent...
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DOI: https://doi.org/10.1007/s12243-022-00926-7
Giovanni Apruzzese, Pavel Laskov, Edgardo Montes de, Wissam Mallouli et al. • Digital Threats Research and Practice
(2022)
Machine Learning (ML) represents a pivotal technology for current and future information systems, and many domains already leverage the capabilities of ML. However, deployment of ML in cybersecurity is still at an early stage, revealing a s...
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Open Access
DOI: https://doi.org/10.1145/3545574
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...
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DOI: https://doi.org/10.1109/jiot.2022.3150363