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Academic Articles & Research Papers
Showing 20 of 979 academic articles
Andualem Woldegiorgis, Mohammed Abebe, Durga Prasad Sharma, Worku Jimma • International Journal of Emerging Research in Engineering, Science, and Management
(2026)
Social media platforms have become powerful tools for communication, information exchange, networking, and community building. However, their widespread use has facilitated the proliferation of misinformation, disinformation, and mal-inform...
DOAJ
Open Access (DOAJ)
DOI: 10.58482/ijeresm.v5i2.3
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
Xiaoyi Zhang, Muhammad Usman, Ateeq ur Rehman Irshad, Mudassar Rashid et al. • ISPRS International Journal of Geo-Information
(2024)
While socioeconomic gradients in regional health inequalities are firmly established, the synergistic interactions between socioeconomic deprivation and climate vulnerability within convenient proximity and neighbourhood locations with heal...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/ijgi13090330
Caricato A., Ficarella A., Chiodo L. Spada • E3S Web of Conferences
(2021)
Predictive maintenance is the latest frontier in the management and maintenance of many industrial assets, including aeroengines. Made possible by last decades advances in monitoring equipment and machine learning algorithms, it permits ind...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/e3sconf/202131211017
Xiaoting Zhong, Brian J. Gallagher, Shusen Liu, Bhavya Kailkhura et al. • npj Computational Materials
(2022)
Abstract Machine learning models are increasingly used in materials studies because of their exceptional accuracy. However, the most accurate machine learning models are usually difficult to explain. Remedies to this problem lie in explaina...
OPENALEX
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DOI: https://doi.org/10.1038/s41524-022-00884-7
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
Xulun Ye, Jieyu Zhao, Yu Chen • Entropy
(2018)
Multi-manifold clustering is among the most fundamental tasks in signal processing and machine learning. Although the existing multi-manifold clustering methods are quite powerful, learning the cluster number automatically from data is stil...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e20110830
Zihao Qiu, Siyu Chen, Zixin Feng, Ruitong Luo et al. • Frontiers in Physics
(2025)
Futures, as significant financial derivatives, play a crucial role in financial markets by fulfilling price discovery functions and providing efficient risk hedging tools. Against the backdrop of geopolitical conflicts, market risk emerges ...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fphy.2025.1674717
Mohammed Saleh Alshaikh • International Journal of Emerging Research in Engineering, Science, and Management
(2025)
The performance of Organic Solar Cells (OSCs) is intrinsically linked to the molecular, electronic, and structural properties of donor and acceptor materials. This study employs various machine learning techniques, namely the Generalized Re...
DOAJ
Open Access (DOAJ)
DOI: 10.58482/ijeresm.v4i4.4
Shriyank Somvanshi, Md Monzurul Islam, Sazzad Bin Bashar Polock, Gaurab Chhetri et al. • IEEE Transactions on Intelligent Transportation Systems
(2026)
Quantum computing introduces new computational methods that address complex optimization and machine learning challenges in transportation engineering. This literature survey reviews fundamental quantum principles, including qubits, superpo...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tits.2026.3662626
Yaoteng Zhang, Shuaipeng Wang, Yanlong Chen, Shiqing Wei et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(2025)
To maintain marine ecosystem health, effective algae monitoring is essential. Traditional threshold-based methods and standard machine learning techniques often fall short in accurately and automatically distinguishing algae types. This stu...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/JSTARS.2025.3571988
Aalt D. J. van Dijk, Gert Kootstra, Willem Kruijer, Dick de Ridder • iScience
(2020)
Technological developments have revolutionized measurements on plant genotypes and phenotypes, leading to routine production of large, complex data sets. This has led to increased efforts to extract meaning from these measurements and to in...
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DOI: https://doi.org/10.1016/j.isci.2020.101890
PMC: 7750553
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
Samuel Asante Gyamerah, Victor Owusu, Stephen Oppong Kwakye • Scientific African
(2024)
The impacts of climate variability indicators on crop yields have attracted global attention over the years. This is particularly so because of the growing concern about the effect of climate change on sustainable food production, especiall...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.sciaf.2024.e02314
Eric Nyarko, Irene A. Kretchy, Grace Lovia Allotey-Babington, Adwoa Oforiwaa Kwakye et al. • BMC Infectious Diseases
(2026)
Abstract Background Poor adherence to antiretroviral therapy (ART) continues to undermine HIV treatment outcomes in sub-Saharan Africa, including Ghana. Objective This study aimed to quantify ART treatment adherence among people living with...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12879-026-13836-z
Qintai Xiao, Li Zhou, Xin Xiang, Lingxue Liu et al. • Applied Sciences
(2022)
Improving the accuracy of runoff simulations is a significant focus of hydrological science for multiple purposes such as water resources management, flood and drought prediction, and water environment protection. However, the simulated run...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app12146883
Salvator Lawrence, Srimuruganandam Bhathmanabhan • Sustainable Environment Research
(2026)
Abstract Accurate prediction of fine particulate matter (PM2.5) remains challenging because atmospheric processes are nonlinear, nonstationary, and influenced by temporal variability, measurement uncertainty, and episodic pollution events. ...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s42834-026-00296-y
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
Syuan-Cheng Chang, Chung-Ping Chang, Yung-Cheng Wang, Chi-Chieh Chu • Machines
(2023)
In this research, we propose a method that utilizes machine learning to maintain the parallelism of the resonant cavity in a Fabry–Perot interferometer designed specifically for glass substrates. Based on the optical principle and theory, w...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/machines11060668
Giovanna Di Pasquale, Antonino Pollicino • Micromachines
(2026)
Molecularly imprinted polymers (MIPs) are synthetic receptors with cavities shaped around a template, combining antibody-like selectivity with chemical, thermal, and mechanical robustness; low cost; and reusability. This Review examines rec...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/mi17091037