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Academic Articles & Research Papers
Showing 20 of 979 academic articles
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...
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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...
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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...
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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...
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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...
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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...
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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...
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Open Access (DOAJ)
DOI: 10.1177/2055207620914777
Chunyu Pan, Ying Ma, Lifei Wang, Yan Zhang et al. • Brain Sciences
(2024)
Major Depressive Disorder (MDD) is a significant neurological condition associated with aberrations in brain functional networks. Traditional studies have predominantly analyzed these from a network topology perspective. However, given the ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/brainsci14050509
Alireza Kasaie, Suchithra Rajendran • Healthcare Analytics
(2023)
This study addresses patient unpunctuality, a major concern affecting patient waiting time, resource utilization, and quality of care. We develop and compare four machine learning models, including multinomial logistic regression, decision ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.health.2023.100242
Muhammet Damar, Tuncay Küme, İbrahim Yüksel, Ali Emre Çetinkol et al. • Düzce Tıp Fakültesi Dergisi
(2024)
Aim: This study aimed to evaluate the position of Turkey in the field of Medical Informatics and assess the general structure of research by analyzing Medical Informatics research with bibliometric methods. Material and Methods: In this stu...
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DOI: https://doi.org/10.18678/dtfd.1410276
Zhadyra Alimbayeva, Chingiz Alimbayev, Kassymbek Ozhikenov, Nurlan Bayanbay et al. • Sensors
(2024)
With cardiovascular diseases (CVD) remaining a leading cause of mortality, wearable devices for monitoring cardiac activity have gained significant, renewed interest among the medical community. This paper introduces an innovative ECG monit...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s24134201
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 ...
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Open Access (DOAJ)
DOI: 10.1038/s41598-026-58852-w
Hans-Christoph Burmeister, Manfred Constapel • Frontiers in Robotics and AI
(2021)
In this survey, results from an investigation on collision avoidance and path planning methods developed in recent research are provided. In particular, existing methods based on Artificial Intelligence, data-driven methods based on Machine...
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Open Access (DOAJ)
DOI: 10.3389/frobt.2021.739013
Wojciech Giernacki • Applied Sciences
(2019)
With an increasing number of multirotor unmanned aerial vehicles (UAVs), solutions supporting the improvement in their precision of operation and safety of autonomous flights are gaining importance. They are particularly crucial in transpor...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app9040648
Jinping Zhao, Ali Arefi, Alberto Borghetti, Gerard Ledwich • Journal of Modern Power Systems and Clean Energy
(2024)
There is a general concern that the increasing penetration of electric vehicles (EVs) will result in higher aging failure probability of equipment and reduced network reliability. The electricity costs may also increase, due to the exacerba...
DOAJ
Open Access (DOAJ)
DOI: 10.35833/MPCE.2022.000837