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Academic Articles & Research Papers
Showing 20 of 987 academic articles
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...
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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. ...
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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...
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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...
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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...
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Open Access (DOAJ)
DOI: 10.3390/mi17091037
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
Sergio Alvarez-Rodríguez, Francisco G. Peña-Lecona • Sensors
(2023)
Artificial neural networks are a powerful tool for managing data that are difficult to process and interpret. This article presents the design and implementation of backpropagated multilayer artificial neural networks, structured with a vec...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s23208347
Yi-Tui Chen, Yi-Min Li, Tzu-Wen Tseng • International Transactions on Electrical Energy Systems
(2022)
Southeast Asia is one of the most popular tourist destinations in the world, and its tourism model is mainly based on ecological and sustainable tourism characteristics. It is a special practical exploration of this region. However, with th...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2022/6442618
Finkelbergs Dmitrijs, Juanjuan Guo, Juanjuan Guo, Juanjuan Guo et al. • Frontiers in Microbiology
(2022)
Bacteria acts as the main decomposer during the process of biodegradation by microbial communities in the ecosystem. Numerous studies have revealed the bacterial succession patterns during carcass decomposition in the terrestrial setting. T...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fmicb.2022.951707
Lufei Chen, Chaoxian Dai, Zhenfang Wu, Yuhan Lin et al. • Journal of Xenobiotics
(2026)
Accumulating epidemiological evidence links ambient PM2.5 exposure to elevated Parkinson’s disease (PD) risk, yet the neurotoxicity triggered by PM2.5 multi-pollutant mixtures under real co-exposure scenarios remains insufficiently elucidat...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/jox16060184
Luo Xiaomei, Yuduo Wu, Lina Niu, Lucheng Huang • International Journal of Environmental Research and Public Health
(2022)
This paper aims to summarize the publishing trends, current status, research topics, and frontier evolution trends of health technology between 1990 and 2020 through various bibliometric analysis methods. In total, 6663 articles retrieved f...
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DOI: https://doi.org/10.3390/ijerph19159044
PMC: 9330553
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
Patrick Leo, Hauke Kolster, Hartmut Koeppen, Jennifer Giltnane et al. • Journal of Pathology Informatics
(2026)
Whereas anti-PD-(L)1 therapies are widely used in cancer treatment, only a subset of patients achieve long-term survival. Companion diagnostics based on PD-L1 expression have limited predictive power for these therapies, motivating developm...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jpi.2026.100688
Kai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, Ruey-Kai Sheu et al. • Digital Health
(2022)
Objective The aim of this study was to develop an artificial intelligence–based model to detect the presence of acute respiratory distress syndrome (ARDS) using clinical data and chest X-ray (CXR) data. Method The transfer learning method w...
DOAJ
Open Access (DOAJ)
DOI: 10.1177/20552076221120317
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
Robinson Spencer, Fadi Thabtah, Neda Abdelhamid, Michael Thompson • Digital Health
(2020)
Machine learning has been used successfully to improve the accuracy of computer-aided diagnosis systems. This paper experimentally assesses the performance of models derived by machine learning techniques by using relevant features chosen b...
DOAJ
Open Access (DOAJ)
DOI: 10.1177/2055207620914777